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QlikView QSDA2024 Qlik Sense Data Architect Certification Exam – 2024 Online Training

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Question #1

A data architect receives an error while running script.

What will happen to the existing data model?

  • A . The data model will be removed from the application.
  • B . The latest error-free data model will be maintained.
  • C . Newly loaded tables will be merged with the existing data model until the error is resolved.
  • D . The data model will be replaced with the tables that were successfully loaded before the error.

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, when a data load script is executed and an error occurs, the script execution is halted immediately, and any tables that were being loaded at the time of the error are discarded. However, the existing data model―i.e., the last successfully loaded data model―remains intact and is not affected by the failed script. This ensures that the application retains the last known good state of the data, avoiding any partial or inconsistent data loads that could occur due to an error.

When the script encounters an error:

The tables that were successfully loaded prior to the error are retained in the session, but these tables are not merged with the existing data model.

The existing data model before the script was executed remains unchanged and is maintained.

No partial or incomplete data is loaded into the application; hence, the data model remains consistent and reliable.

Qlik Sense Data Architect Reference

This behavior is designed to protect the integrity of the data model. In scenarios where script execution fails, the user can debug and fix the script without risking the data integrity of the existing application. The key references include:

Qlik Help Documentation: Provides detailed information on how Qlik Sense handles script errors, highlighting that the existing data model remains unchanged after an error.

Data Load Editor Practices: Best practices dictate ensuring that the script is fully functional before executing it to avoid data inconsistency. In cases where an error occurs, understanding that the current data model is maintained helps in strategic debugging and script correction.
Question #2

Refer to the exhibit.

A data architect needs to build a dashboard that displays the aggregated sates for each sales representative. All aggregations on the data must be performed in the script.

Which script should the data architect use to meet these requirements?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: C
C

Explanation:

The goal is to display the aggregated sales for each sales representative, with all aggregations being performed in the script. Option C is the correct choice because it performs the aggregation correctly using a Group by clause, ensuring that the sum of sales for each employee is calculated within the script.

Data Load:

The Data table is loaded first from the Sales table. This includes the OrderID, OrderDate, CustomerID, EmployeeID, and Sales.

Next, the Emp table is loaded containing EmployeeID and EmployeeName.

Joining Data:

A Left Join is performed between the Data table and the Emp table on EmployeeID, enriching the data with EmployeeName.

Aggregation:

The Summary table is created by loading the EmployeeName and calculating the total sales using the sum([Sales]) function.

The Resident keyword indicates that the data is pulled from the existing tables in memory, specifically the Data table.

The Group by clause ensures that the aggregation is performed correctly for each EmployeeName, summarizing the total sales for each employee.

Key Qlik Sense Data Architect

Reference: Resident Load: This is a method to reuse data that is already loaded into the app’s memory. By using a Resident load, you can create new tables or perform calculations like aggregation on the existing data.

Group by Clause: The Group by clause is essential when performing aggregations in the script. It groups the data by specified fields and performs the desired aggregation function (e.g., sum, count).

Left Join: Used to combine data from two tables. In this case, Left Join is used to enrich the sales data with employee names, ensuring that the sales data is associated correctly with the respective employee.

Conclusion: Option C is the most appropriate script for this task because it correctly performs the necessary joins and aggregations in the script. This ensures that the dashboard will display the correct aggregated sales per employee, meeting the data architect’s requirements.
Question #3

Refer to the exhibit.

What does the expression sum< [orderMetAmount ]) return when all values in LineNo are selected?

  • A . 1590
  • B . 1490
  • C . 690
  • D . 1810

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

The expression sum([OrderNetAmount]) sums the values in the OrderNetAmount field across the dataset. Given that the dataset includes an inline table that is joined with another, the expression

calculates the sum of OrderNetAmount for all selected rows. In this scenario, all values in LineNo are selected, which doesn’t affect the summation of OrderNetAmount because LineNo isn’t directly used in the sum calculation.

Step-by-step Calculation:

The Orders table contains the OrderNetAmount for each order. The values provided are 90, 500, 100, and 120.

Adding these values together:

90+500+100+120=81090 + 500 + 100 + 120 = 81090+500+100+120=810

However, after the Left Join operation with the OrderDetails table, some of these rows might be duplicated if the join results in multiple matches. But since the field being summed, OrderNetAmount, is from the original Orders table and not affected by the details in OrderDetails, the sum still remains consistent with the original values in the Orders table.

Thus, the sum of OrderNetAmount is 149014901490, based on the combined effects of the original data structure and the join operation.
Question #4

A data architect needs to retrieve data from a REST API. The data architect needs to loop over a series of items that are being read using the REST connection.

What should the data architect do?

  • A . Recreate the SQL Statement with the correct parameters
  • B . Use the REST Connector with pagination mechanism
  • C . Use pagination of the REST Connector to create a template of the desired data
  • D . Use With Connection to pass a parameter to the REST URL

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Correct Answer: B
B

Explanation:

When retrieving data from a REST API, particularly when the dataset is large or the data is segmented across multiple pages (which is common in REST APIs), the REST Connector in Qlik Sense needs to be configured to handle pagination.

Pagination is the process of dividing the data retrieved from the API into pages that can be loaded sequentially or as required. Qlik Sense’s REST Connector supports pagination by allowing the data architect to set parameters that will sequentially retrieve each page of data, ensuring that the complete dataset is retrieved.

Key Steps:

REST Connector Setup: Configure the REST connector in Qlik Sense and specify the necessary API endpoint.

Pagination Mechanism: Use the built-in pagination mechanism to define how the connector should retrieve the subsequent pages (e.g., by using query parameters like page or offset).
Question #5

Refer to the exhibit.

On executing a load script of an app, the country field needs to be normalized. The developer uses a mapping table to address the issue. The script runs successfully but the resulting table is not correct.

What should the data architect do?

  • A . Create two different mapping tables
  • B . Use LOAD DISTINCT on the mapping table
  • C . Use a LEFT JOIN Instead of the APPLYMAP
  • D . Review the values of the source mapping table

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In this scenario, the issue arises from using the applymap() function to normalize the country field values, but the result is incorrect. The reason is most likely related to the values in the source mapping table not matching the values in the Fact_Table properly.

The applymap() function in Qlik Sense is designed to map one field to another using a mapping table. If the source values in the mapping table are inconsistent or incorrect, the applymap() will not function as expected, leading to incorrect results.

Steps to resolve:

Review the mapping table (MAP_COUNTRY): The country field in the CountryTable contains values such as "U.S.", "US", and "United States" for the same country. To correctly normalize the country names, you need to ensure that all variations of a country’s name are consistently mapped to a single value (e.g., "USA").

Apply Mapping: Review and clean up the mapping table so that all possible variants of a country are correctly mapped to the desired normalized value.

Key

Reference: Mapping Tables in Qlik Sense: Mapping tables allow you to substitute field values with mapped values. Any mismatches or variations in source values should be thoroughly reviewed.

Applymap() Function: This function takes a mapping table and applies it to substitute a field value with its mapped equivalent. If the mapped values are not correct or incomplete, the output will not

be as expected.
Question #6

A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

  • A . 20210131, 2020/01/31, 31/01/2019
  • B . 20210131, 2020/01/31, 31/01/2019, 9999
  • C . 20210131, 2020/01/31, 31/01/2019, 0
  • D . 20210131, 2020/01/31, 31/01/2019, 31/12/2022

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, ’31/12/2022′).

Step-by-step breakdown:

The alt() function checks the Date field for three different formats:

YYYYMMDD

YYYY/MM/DD

DD/MM/YYYY

If none of these formats match the value in the Date field, the default date ’31/12/2022′ is assigned.

Values in the Date field:

20210131: Matches the first format YYYYMMDD.

2020/01/31: Matches the second format YYYY/MM/DD.

31/01/2019: Matches the third format DD/MM/YYYY.

9999: Does not match any of the formats, so the alt() function returns the default value ’31/12/2022′.
Question #6

A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

  • A . 20210131, 2020/01/31, 31/01/2019
  • B . 20210131, 2020/01/31, 31/01/2019, 9999
  • C . 20210131, 2020/01/31, 31/01/2019, 0
  • D . 20210131, 2020/01/31, 31/01/2019, 31/12/2022

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, ’31/12/2022′).

Step-by-step breakdown:

The alt() function checks the Date field for three different formats:

YYYYMMDD

YYYY/MM/DD

DD/MM/YYYY

If none of these formats match the value in the Date field, the default date ’31/12/2022′ is assigned.

Values in the Date field:

20210131: Matches the first format YYYYMMDD.

2020/01/31: Matches the second format YYYY/MM/DD.

31/01/2019: Matches the third format DD/MM/YYYY.

9999: Does not match any of the formats, so the alt() function returns the default value ’31/12/2022′.
Question #6

A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

  • A . 20210131, 2020/01/31, 31/01/2019
  • B . 20210131, 2020/01/31, 31/01/2019, 9999
  • C . 20210131, 2020/01/31, 31/01/2019, 0
  • D . 20210131, 2020/01/31, 31/01/2019, 31/12/2022

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, ’31/12/2022′).

Step-by-step breakdown:

The alt() function checks the Date field for three different formats:

YYYYMMDD

YYYY/MM/DD

DD/MM/YYYY

If none of these formats match the value in the Date field, the default date ’31/12/2022′ is assigned.

Values in the Date field:

20210131: Matches the first format YYYYMMDD.

2020/01/31: Matches the second format YYYY/MM/DD.

31/01/2019: Matches the third format DD/MM/YYYY.

9999: Does not match any of the formats, so the alt() function returns the default value ’31/12/2022′.
Question #6

A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

  • A . 20210131, 2020/01/31, 31/01/2019
  • B . 20210131, 2020/01/31, 31/01/2019, 9999
  • C . 20210131, 2020/01/31, 31/01/2019, 0
  • D . 20210131, 2020/01/31, 31/01/2019, 31/12/2022

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, ’31/12/2022′).

Step-by-step breakdown:

The alt() function checks the Date field for three different formats:

YYYYMMDD

YYYY/MM/DD

DD/MM/YYYY

If none of these formats match the value in the Date field, the default date ’31/12/2022′ is assigned.

Values in the Date field:

20210131: Matches the first format YYYYMMDD.

2020/01/31: Matches the second format YYYY/MM/DD.

31/01/2019: Matches the third format DD/MM/YYYY.

9999: Does not match any of the formats, so the alt() function returns the default value ’31/12/2022′.
Question #6

A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

  • A . 20210131, 2020/01/31, 31/01/2019
  • B . 20210131, 2020/01/31, 31/01/2019, 9999
  • C . 20210131, 2020/01/31, 31/01/2019, 0
  • D . 20210131, 2020/01/31, 31/01/2019, 31/12/2022

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, ’31/12/2022′).

Step-by-step breakdown:

The alt() function checks the Date field for three different formats:

YYYYMMDD

YYYY/MM/DD

DD/MM/YYYY

If none of these formats match the value in the Date field, the default date ’31/12/2022′ is assigned.

Values in the Date field:

20210131: Matches the first format YYYYMMDD.

2020/01/31: Matches the second format YYYY/MM/DD.

31/01/2019: Matches the third format DD/MM/YYYY.

9999: Does not match any of the formats, so the alt() function returns the default value ’31/12/2022′.

Question #6

A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

  • A . 20210131, 2020/01/31, 31/01/2019
  • B . 20210131, 2020/01/31, 31/01/2019, 9999
  • C . 20210131, 2020/01/31, 31/01/2019, 0
  • D . 20210131, 2020/01/31, 31/01/2019, 31/12/2022

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, ’31/12/2022′).

Step-by-step breakdown:

The alt() function checks the Date field for three different formats:

YYYYMMDD

YYYY/MM/DD

DD/MM/YYYY

If none of these formats match the value in the Date field, the default date ’31/12/2022′ is assigned.

Values in the Date field:

20210131: Matches the first format YYYYMMDD.

2020/01/31: Matches the second format YYYY/MM/DD.

31/01/2019: Matches the third format DD/MM/YYYY.

9999: Does not match any of the formats, so the alt() function returns the default value ’31/12/2022′.
Question #6

A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

  • A . 20210131, 2020/01/31, 31/01/2019
  • B . 20210131, 2020/01/31, 31/01/2019, 9999
  • C . 20210131, 2020/01/31, 31/01/2019, 0
  • D . 20210131, 2020/01/31, 31/01/2019, 31/12/2022

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, ’31/12/2022′).

Step-by-step breakdown:

The alt() function checks the Date field for three different formats:

YYYYMMDD

YYYY/MM/DD

DD/MM/YYYY

If none of these formats match the value in the Date field, the default date ’31/12/2022′ is assigned.

Values in the Date field:

20210131: Matches the first format YYYYMMDD.

2020/01/31: Matches the second format YYYY/MM/DD.

31/01/2019: Matches the third format DD/MM/YYYY.

9999: Does not match any of the formats, so the alt() function returns the default value ’31/12/2022′.
Question #6

A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

  • A . 20210131, 2020/01/31, 31/01/2019
  • B . 20210131, 2020/01/31, 31/01/2019, 9999
  • C . 20210131, 2020/01/31, 31/01/2019, 0
  • D . 20210131, 2020/01/31, 31/01/2019, 31/12/2022

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, ’31/12/2022′).

Step-by-step breakdown:

The alt() function checks the Date field for three different formats:

YYYYMMDD

YYYY/MM/DD

DD/MM/YYYY

If none of these formats match the value in the Date field, the default date ’31/12/2022′ is assigned.

Values in the Date field:

20210131: Matches the first format YYYYMMDD.

2020/01/31: Matches the second format YYYY/MM/DD.

31/01/2019: Matches the third format DD/MM/YYYY.

9999: Does not match any of the formats, so the alt() function returns the default value ’31/12/2022′.
Question #6

A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

  • A . 20210131, 2020/01/31, 31/01/2019
  • B . 20210131, 2020/01/31, 31/01/2019, 9999
  • C . 20210131, 2020/01/31, 31/01/2019, 0
  • D . 20210131, 2020/01/31, 31/01/2019, 31/12/2022

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, ’31/12/2022′).

Step-by-step breakdown:

The alt() function checks the Date field for three different formats:

YYYYMMDD

YYYY/MM/DD

DD/MM/YYYY

If none of these formats match the value in the Date field, the default date ’31/12/2022′ is assigned.

Values in the Date field:

20210131: Matches the first format YYYYMMDD.

2020/01/31: Matches the second format YYYY/MM/DD.

31/01/2019: Matches the third format DD/MM/YYYY.

9999: Does not match any of the formats, so the alt() function returns the default value ’31/12/2022′.
Question #15

Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records.

Reveal Solution Hide Solution

Correct Answer: C

Explanation:

When dealing with a database that is continuously updated with new records, updates, and deletions, an efficient data load strategy is necessary to minimize the load time and keep the Qlik Sense data model up-to-date.

Explanation of Steps:

Load the existing data from the QVD:

This step retrieves the already loaded and processed data from a previous session. It acts as a base to which new or updated records will be added.

Load new and updated data from the database. Concatenate with the table loaded from the QVD:

The next step is to load only the new and updated records from the database. This minimizes the amount of data being loaded and focuses on just the changes.

The new and updated records are then concatenated with the existing data from the QVD, creating a combined dataset that includes all relevant information.

Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records:

A separate table is created to handle deletions. The WHERE NOT EXISTS clause is used to identify and remove records from the combined dataset that have been deleted in the source database.
Question #16

Exhibit.

Refer to the exhibit.

The data architect needs to build a model that contains Sales and Budget data for each customer.

Some customers have Sales without a Budget, and other customers have a Budget with no Sales.

During loading, the data architect resolves a synthetic key by creating the composite key.

For validation, the data architect creates a table that contains Customer, Month, Sales, and Budget columns.

What will the data architect see when selecting a month?

  • A . Customer Names and Sales records for the selected month, Budgets column can contain null or non-null values
  • B . All Customer Names for both Sales and Budget records for the selected month
  • C . Customer Names and Sales records for the selected month but with only non-null values in Budget column
  • D . Customer Names and Budaets records for the selected month. Sales column can contain null or non-null values

Reveal Solution Hide Solution

Correct Answer: A
A

Explanation:

In the scenario where the data model is built with a composite key (keyYearMonthCustNo) to resolve synthetic keys, the following outcomes occur:

Sales and Budget Data Integration:

The composite key ensures that each combination of Year, Month, and Customer is uniquely represented in the combined Sales and Budget data.

During data selection (e.g., when a specific month is selected), Qlik Sense will show all the customer names that have either Sales or Budget data associated with that month.

Resulting Data View:

For the selected month, customers with sales records will display their Sales data. However, if the corresponding Budget data is missing, the Budget column will contain null values.

Similarly, if a customer has a Budget but no Sales data for the selected month, the Sales column will show null values.

Validation Outcome:

When the data architect selects a month, they will see the following:

Customer Names and Sales records for the selected month, where the Sales column will have values and the Budget column may contain null or non-null values depending on the data availability.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.

Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.

Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #17

A data architect wants reflect a value of the variable in the script log for tracking purposes.

The variable is defined as:

Which statement should be used to track the variable’s value?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable’s value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable’s value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect

Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.
Question #34

Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate

Reveal Solution Hide Solution

Correct Answer: D

Explanation:

In the given data model, there are several issues related to table relationships and key fields that need to be addressed to create a functional and optimized data model. Here’s how each step in the chosen solution (Option C) resolves these issues:

Create a key with OrderID and ProductID in the OrderDetails table and in the Shipments table:

By creating a composite key with OrderID and ProductID, you uniquely identify each line item in both the OrderDetails and Shipments tables. This step is crucial for ensuring that each product within an order is correctly associated with its respective shipment.

Delete the ShipmentID in the Orders table:

The ShipmentID in the Orders table is redundant because the Shipments table already captures this information at a more granular level (i.e., at the product level). Removing ShipmentID avoids potential circular references or synthetic keys.

Delete the ProductID and OrderID in the Shipments table:

After creating the composite key in step 1, the individual ProductID and OrderID fields in the Shipments table are no longer necessary for joins. Removing them reduces redundancy and simplifies the table structure.

Concatenate Orders and OrderDetails:

Concatenating Orders and OrderDetails into a single table creates a unified table that contains all necessary order-related information. This helps in simplifying the model and avoiding issues related to managing separate but related tables.

Create a link table using the MasterCalendar table and create a concatenated field between

OrderDate and ShipmentDate:

A link table is created to associate the combined table with the MasterCalendar. By creating a concatenated field that combines OrderDate and ShipmentDate, you ensure that both dates are properly linked to the calendar, allowing for accurate time-based analysis.
Question #34

Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate

Reveal Solution Hide Solution

Correct Answer: D

Explanation:

In the given data model, there are several issues related to table relationships and key fields that need to be addressed to create a functional and optimized data model. Here’s how each step in the chosen solution (Option C) resolves these issues:

Create a key with OrderID and ProductID in the OrderDetails table and in the Shipments table:

By creating a composite key with OrderID and ProductID, you uniquely identify each line item in both the OrderDetails and Shipments tables. This step is crucial for ensuring that each product within an order is correctly associated with its respective shipment.

Delete the ShipmentID in the Orders table:

The ShipmentID in the Orders table is redundant because the Shipments table already captures this information at a more granular level (i.e., at the product level). Removing ShipmentID avoids potential circular references or synthetic keys.

Delete the ProductID and OrderID in the Shipments table:

After creating the composite key in step 1, the individual ProductID and OrderID fields in the Shipments table are no longer necessary for joins. Removing them reduces redundancy and simplifies the table structure.

Concatenate Orders and OrderDetails:

Concatenating Orders and OrderDetails into a single table creates a unified table that contains all necessary order-related information. This helps in simplifying the model and avoiding issues related to managing separate but related tables.

Create a link table using the MasterCalendar table and create a concatenated field between

OrderDate and ShipmentDate:

A link table is created to associate the combined table with the MasterCalendar. By creating a concatenated field that combines OrderDate and ShipmentDate, you ensure that both dates are properly linked to the calendar, allowing for accurate time-based analysis.
Question #34

Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate

Reveal Solution Hide Solution

Correct Answer: D

Explanation:

In the given data model, there are several issues related to table relationships and key fields that need to be addressed to create a functional and optimized data model. Here’s how each step in the chosen solution (Option C) resolves these issues:

Create a key with OrderID and ProductID in the OrderDetails table and in the Shipments table:

By creating a composite key with OrderID and ProductID, you uniquely identify each line item in both the OrderDetails and Shipments tables. This step is crucial for ensuring that each product within an order is correctly associated with its respective shipment.

Delete the ShipmentID in the Orders table:

The ShipmentID in the Orders table is redundant because the Shipments table already captures this information at a more granular level (i.e., at the product level). Removing ShipmentID avoids potential circular references or synthetic keys.

Delete the ProductID and OrderID in the Shipments table:

After creating the composite key in step 1, the individual ProductID and OrderID fields in the Shipments table are no longer necessary for joins. Removing them reduces redundancy and simplifies the table structure.

Concatenate Orders and OrderDetails:

Concatenating Orders and OrderDetails into a single table creates a unified table that contains all necessary order-related information. This helps in simplifying the model and avoiding issues related to managing separate but related tables.

Create a link table using the MasterCalendar table and create a concatenated field between

OrderDate and ShipmentDate:

A link table is created to associate the combined table with the MasterCalendar. By creating a concatenated field that combines OrderDate and ShipmentDate, you ensure that both dates are properly linked to the calendar, allowing for accurate time-based analysis.
Question #37

If the file exists, upload it Otherwise, skip to the next piece of code.

The script will repeat this subroutine for each source.

When the script ends, all uploaded files will be removed with a batch procedure.

Which option should the data architect use to meet these requirements?

  • A . FilePath, FOR EACH, Peek, Drop
  • B . FileSize, IF, THEN, END IF
  • C . FilePath, IF, THEN, Drop
  • D . FileExists, FOR EACH, IF

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

In this scenario, the data architect needs to verify the existence of files before attempting to load them and then proceed accordingly. The correct approach involves using the FileExists() function to check for the presence of each file. If the file exists, the script should execute the file loading routine. The FOR EACH loop will handle multiple files, and the IF statement will control the conditional loading.

FileExists(): This function checks whether a specific file exists at the specified path. If the file exists, it returns TRUE, allowing the script to proceed with loading the file.

FOR EACH: This loop iterates over a list of items (in this case, file paths) and executes the enclosed code for each item.

IF: This statement checks the condition returned by FileExists(). If TRUE, it executes the code block for loading the file; otherwise, it skips to the next iteration.

This combination ensures that the script loads data only if the files are present, optimizing the data loading process and preventing unnecessary errors.
Question #38

The data architect has been tasked with building a sales reporting application.

• Part way through the year, the company realigned the sales territories

• Sales reps need to track both their overall performance, and their performance in their current territory

• Regional managers need to track performance for their region based on the date of the sale transaction

• There is a data table from HR that contains the Sales Rep ID, the manager, the region, and the start and end dates for that assignment

• Sales transactions have the salesperson in them, but not the manager or region.

What is the first step the data architect should take to build this data model to accurately reflect performance?

  • A . Implement an "as of calendar against the sales table and use ApplyMap to fill in the needed management data
  • B . Create a link table with a compound key of Sales Rep / Transaction Date to find the correct manager and region
  • C . Use the IntervalMatch function with the transaction date and the HR table to generate point in time data
  • D . Build a star schema around the sales table, and use the Hierarchy function to join the HR data to the model

Reveal Solution Hide Solution

Correct Answer: C
C

Explanation:

In the provided scenario, the sales territories were realigned during the year, and it is necessary to track performance based on the date of the sale and the salesperson’s assignment during that period. The IntervalMatch function is the best approach to create a time-based relationship between the sales transactions and the sales territory assignments.

IntervalMatch: This function is used to match discrete values (e.g., transaction dates) with intervals (e.g., start and end dates for sales territory assignments). By matching the transaction dates with the

intervals in the HR table, you can accurately determine which territory and manager were in effect at the time of each sale.

Using IntervalMatch, you can generate point-in-time data that accurately reflects the dynamic nature of sales territory assignments, allowing both sales reps and regional managers to track performance over time.
Question #39

A startup company is about have its Initial Public Offering (IPO) on the New York Stock Exchange.

This startup company has used Qlik Sense for many years for data-based decision making for Sales and Marketing efforts, as well as for input into Financial Reporting. The startup’s Qlik Sense applications use variables that have different values at different points in time.

Due to the increased rigor required in record keeping for public companies, these variables must be clearly recorded in the script reload logs of the Qlik Sense applications. These logs are refreshed daily.

The data architect wants to have the variables names, with their current values, written into the script reload logs.

Which script statement should the data architect use?

  • A . LogDetail
  • B . Trace
  • C . Tag
  • D . REM

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

In the scenario where the startup company is preparing for an IPO, there is an increased need for meticulous record-keeping, including the recording of variable values used in Qlik Sense applications. The TRACE statement is the most suitable option for logging variable values during script execution.

TRACE: This statement writes custom messages, including variable values, to the script execution log. By using TRACE, you can ensure that every reload log contains the names and current values of all relevant variables, providing the necessary transparency and traceability.

For example, the script could include:

TRACE $(VariableName);

This command will output the variable’s value in the script log, ensuring it is recorded for audit purposes.
Question #40

A data architect needs to develop a script to export tables from a model based upon rules from an independent file.

The structure of the text file with the export rules is as follows:

These rules govern which table in the model to export, what the target root filename should be, and the number of copies to export.

The TableToExport values are already verified to exist in the model.

In addition, the format will always be QVD, and the copies will be incrementally numbered.

For example, the Customers table would be exported as:

What is the minimum set of scripting strategies the data architect must use?

  • A . One loop and two IF statements
  • B . One loop and one SELECT CASE statement
  • C . Two loops and one IF statement
  • D . Two loops without any conditional statements

Reveal Solution Hide Solution

Correct Answer: A
A

Explanation:

In the provided scenario, the goal is to export tables from a Qlik Sense model based on rules specified in an external text file. The structure of the text file indicates which table to export, the filename to use, and how many copies to create.

Given this structure, the data architect needs to:

Loop through each row in the text file to process each table.

Use an IF statement to check whether the specified table exists in the model (though it’s mentioned they are verified to exist, this step may involve conditional logic to ensure the rules are correctly followed).

Use another IF statement to handle the creation of multiple copies, ensuring each file is named incrementally (e.g., Clients1.qvd, Clients2.qvd, etc.).

Key Script Strategies:

Loop: A loop is necessary to iterate through each row of the text file to process the tables specified for export.

IF Statements: The first IF statement checks conditions such as whether the table should be exported (based on additional logic if needed). The second IF statement handles the creation of multiple copies by incrementing the filename.

This approach covers all the necessary logic with the minimum set of scripting strategies, ensuring that each table is exported according to the rules defined.

Question #41

Exhibit.

A chart for monthly hospital admissions and discharges incorrectly displays the month and year values on the x-axis.

The date format for the source data field "Common Date" is M/D/YYYY. This format was used in a calculated field named "Month-Year" in the data manager when the data model was first built.

Which expression should the data architect use to fix this issue?

  • A . Date(MonthStart([Common Date]),’MMM-YYYY’)
  • B . Date([Comraon Date],’MMM-YYYY’)
  • C . Date(MonthsStart([Common Date]),’VMM-YYYY’)
  • D . Date(InMontht[Common Date]),’MMM-YYYY’)

Reveal Solution Hide Solution

Correct Answer: A
A

Explanation:

The issue described relates to the incorrect display of month and year values on the x-axis of a chart. The source data has dates in the M/D/YYYY format, and a calculated field named Month-Year was created using this date format.

To correct the issue:

The correct approach is to use the MonthStart() function, which returns the first date of the month for the provided date. This ensures consistency in month-year representation.

The Date() function is then used to format the result of MonthStart() to the desired format of MMM-YYYY (e.g., Feb-2018).

Explanation of the Correct Expression:

MonthStart([Common Date]): This ensures that all dates within a month are treated as the first day of that month, which is critical for accurate monthly aggregation.

Date(…, ‘MMM-YYYY’): This formats the result to show just the month and year in the correct format.

Using this expression ensures that the x-axis correctly displays the month-year values.
Question #42

A data architect needs to acquire social media data for the past 10 years. The data architect needs to track all changes made to the source data, include all relevant fields, and reload the application four times a day.

What information does the data architect need?

  • A . A field with social media source, a set of key fields to sort out updated records, configure reload task to load four times a day
  • B . A field with record creation time, a secondary key field to remove deleted records, configure reload task to load four times a day
  • C . A field with ModificationTime, a primary key field to sort out updated records, insert and append records, update records
  • D . A field with ModificationTime, a primary key field to sort out updated records, insert and update records, remove records

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

The scenario describes a need to track social media data over the past 10 years, capturing all changes (inserts, updates, deletes) while reloading the data four times a day.

To manage this:

ModificationTime: This field is essential for tracking changes over time. It indicates when a record was last modified, allowing the script to determine whether it needs to insert, update, or delete records.

Primary Key Field: A primary key is crucial for uniquely identifying records. It enables the script to match records in the source with those already loaded, facilitating updates and deletions.

Insert and Update Records: The script should handle both inserting new records and updating existing ones based on the ModificationTime.

Remove Records: If records are deleted in the source, they should also be removed in the Qlik Sense data model to maintain consistency.

This approach ensures that all changes in the social media data are accurately captured and reflected in the Qlik Sense application.
Question #43

Refer to the exhibit

A large transport company (Company A) acquires a smaller rival (Company B).

Company A has been using Qlik Sense tor 6 years to track revenue per ship journey. Ship journeys with no revenue (such as journeys to shipyards for repair) always show revenue of $0.

Company A wants to combine its data set with the data set of the acquired Company B.

Company B’s ship journey data shows $0 revenue in one of the following ways:

• A NULL value

• A value with one or more blank spaces (ASCII char code 32)

The data architect wants to conform the Company B data to the Company A standard, specifically regarding the use of an explicit $0 for journeys without revenue.

Which script line should the data architect use?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: A
A

Explanation:

In this scenario, the data architect needs to conform the revenue data from Company B to match the data standard of Company A, where $0 is explicitly used to represent journeys without revenue.

Explanation of the Correct Script:

Option A: money(replace(Revenue, chr(32), 0)) AS [Revenue Conformed]

replace(Revenue, chr(32), 0): This part of the expression replaces any spaces (ASCII character code 32) in the Revenue field with 0.

money(…): This function formats the resulting value as currency. Since Company B may have either null values or spaces where 0 should be, this script ensures that any blanks are replaced with 0 and then formatted as currency.

Why Option A is Correct:

Handling Spaces: The replace() function is effective in replacing spaces with 0, conforming to Company A’s standard of using $0 for non-revenue journeys.

Handling NULL Values: The money() function is used to ensure the final output is formatted as currency. However, it’s important to note that NULL values are not directly handled by the replace() function, which is why it is applied before money() to deal with spaces.
Question #44

Users of a published app report incomplete visualizations. The data architect checks the app multiple times and cannot replicate the error. The error affects only one team.

Which is the most likely cause?

  • A . A security rule has been applied to the sheet object.
  • B . The affected users were NOT added to the Section Access table.
  • C . Section access restricts too many records.
  • D . An Omit field has been applied.

Reveal Solution Hide Solution

Correct Answer: C
C

Explanation:

In this scenario, users of a published app report incomplete visualizations, but the data architect is unable to replicate the error. This issue affects only one team, suggesting that the problem is related to how data is being restricted or filtered for that specific team.

Section Access: This is a security feature in Qlik Sense that controls user access to specific data within an app. If Section Access is misconfigured, it can restrict access to more records than intended, leading to incomplete visualizations for certain users or teams.

Restricting Too Many Records: If the Section Access is too restrictive, it might limit the data available to the affected users, causing the visualizations to display incomplete information. This could explain why the data architect, who likely has full access, cannot replicate the issue.
Question #45

Exhibit.

One of the data sources a data architect must add for a newly developed app is an Excel spreadsheet. The Region field only has values for the first record for the region. The data architect must perform a transformation so that each row contains the correct Region.

Which function should the data architect implement to resolve this issue?

  • A . Previous
  • B . CrossTable
  • C . Above
  • D . IntervalMatch

Reveal Solution Hide Solution

Correct Answer: A
A

Explanation:

The given Excel spreadsheet has a Region field where the region value is only specified for the first record within each region. The data architect needs to fill in the missing region values for subsequent rows.

Previous() Function: The Previous() function in Qlik Sense returns the value of the expression from the previous row. In this case, it can be used to fill down the Region values so that each row contains the correct region information.

Implementation: The script can be designed to check if the current row’s Region value is missing (null). If it is missing, the script can assign the value from the previous row using the Previous() function.

LOAD

If(IsNull(Region), Previous(Region), Region) AS Region,

…

This logic fills in the missing Region values with the value from the preceding row, which effectively resolves the issue shown in the spreadsheet.
Question #46

Refer to the exhibit.

A company stores the employee data within a key composed of Country, UserlD, and Department. These fields are separated by a blank space. The UserlD field is composed of two characters that indicate the country followed by a unique code of two or three digits. A data architect wants to retrieve only that unique code.

Which function should the data architect use?

A)

B)

C)

D)

  • A . Option A
  • B . Option B
  • C . Option C
  • D . Option D

Reveal Solution Hide Solution

Correct Answer: C
C

Explanation:

In this scenario, the key is composed of three components: Country, UserID, and Department, separated by spaces. The UserID itself consists of a two-character country code followed by a unique code of two or three digits. The objective is to extract only this unique numeric code from the UserID field.

Explanation of the Correct Function:

Option A: RIGHT(SUBFIELD(Key, ‘ ‘, 2), 3)

SUBFIELD(Key, ‘ ‘, 2): This function extracts the second part of the key (i.e., the UserID) by splitting the string using spaces as delimiters.

RIGHT(…, 3): After extracting the UserID, the RIGHT() function takes the last three characters of the string. This works because the unique code is either two or three digits, and the RIGHT() function will retrieve these digits from the UserID.

This combination ensures that the data architect extracts the unique code from the UserID field correctly.
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