Question #1
A data professional would like to combine multiple data sources into a relational database to improve their business efficiency.
Which data integration initiative can help them achieve this?
- A . Manually collect the data from various source interfaces, then clean and combine the data into one warehouse.
- B . Use a middleware application that acts as a mediator to normalize data and bring it into a master data pool.
- C . Create a data warehouse to run queries, reports, and analyses to retrieve data in a consistent format.
- D . leverage data lakes to manage complex and massive volumes of structured and unstructured data.
Correct Answer: B
B
Explanation:
A middleware application is a software that acts as a mediator between different data sources and data consumers. It can normalize data and bring it into a master data pool, which is a centralized repository of consistent and quality data. This can help a data professional to combine multiple data sources into a relational database to improve their business efficiency. A middleware application can also provide data integration services such as data transformation, validation, cleansing, and enrichment.
Reference: What is Data Integration?, What is Middleware?
B
Explanation:
A middleware application is a software that acts as a mediator between different data sources and data consumers. It can normalize data and bring it into a master data pool, which is a centralized repository of consistent and quality data. This can help a data professional to combine multiple data sources into a relational database to improve their business efficiency. A middleware application can also provide data integration services such as data transformation, validation, cleansing, and enrichment.
Reference: What is Data Integration?, What is Middleware?
Question #2
Which tab provides lines of code generated for the selected component in Telend Studio?
- A . Jobscript tab
- B . Code viewer tab
- C . Run consult
- D . Outline tab
Correct Answer: B
B
Explanation:
The code viewer tab in Talend Studio provides lines of code generated for the selected component in a Job. It shows the code in the language of the component, such as Java or Perl. The code viewer tab allows the user to view and edit the code, as well as copy and paste it to another editor. The code viewer tab also displays errors and warnings related to the code.
Reference: Code viewer tab
B
Explanation:
The code viewer tab in Talend Studio provides lines of code generated for the selected component in a Job. It shows the code in the language of the component, such as Java or Perl. The code viewer tab allows the user to view and edit the code, as well as copy and paste it to another editor. The code viewer tab also displays errors and warnings related to the code.
Reference: Code viewer tab
Question #3
Which section in Talend Studio allows you to graphically connect components in a Job to run a dataflow process?
- A . Design workspace
- B . Component view
- C . Repository
- D . Code
Correct Answer: A
A
Explanation:
The design workspace in Talend Studio allows the user to graphically connect components in a Job to run a dataflow process. The design workspace is the main area where the user can design the data integration logic by dragging and dropping components from the palette and linking them with connectors. The design workspace also shows the schema of each component, which defines the structure and type of the data.
A
Explanation:
The design workspace in Talend Studio allows the user to graphically connect components in a Job to run a dataflow process. The design workspace is the main area where the user can design the data integration logic by dragging and dropping components from the palette and linking them with connectors. The design workspace also shows the schema of each component, which defines the structure and type of the data.
Question #4
Which templates allow you to create ready-to-run Jobs in Talend Studio? Choose 2 answers
- A . Table to Table
- B . FileToDatabase.
- C . TahleToFile
- D . JobletToFile
Correct Answer: B, C
B, C
Explanation:
Option B, FileToDatabase, is a template used for jobs that involve moving or transforming data from files (like CSV, Excel, etc.) into a database.
Option C, TableToFile, is used for jobs that transfer or transform data from a database table to a file format.
Option A, Table to Table, and Option D, JobletToFile, are not standard templates provided in Talend Studio for ready-to-run jobs. While "Table to Table" might sound like a plausible template, it is not one of the predefined templates in Talend. "JobletToFile" is not a typical template for data integration scenarios; Joblets in Talend are usually components or subroutines used within jobs, not templates for entire jobs.
B, C
Explanation:
Option B, FileToDatabase, is a template used for jobs that involve moving or transforming data from files (like CSV, Excel, etc.) into a database.
Option C, TableToFile, is used for jobs that transfer or transform data from a database table to a file format.
Option A, Table to Table, and Option D, JobletToFile, are not standard templates provided in Talend Studio for ready-to-run jobs. While "Table to Table" might sound like a plausible template, it is not one of the predefined templates in Talend. "JobletToFile" is not a typical template for data integration scenarios; Joblets in Talend are usually components or subroutines used within jobs, not templates for entire jobs.
Question #5
Which element carries data between two components in a Job?
- A . Sublob
- B . Link
- C . Trigger
- D . Row
Correct Answer: D
D
Explanation:
A row is an element that carries data between two components in a Job. A row is also called a link or a connector. A row can be of different types, such as Main, Lookup, Reject, Iterate, etc. A subjob is a group of components that are connected together and executed as a single unit. A trigger is an element that controls the execution flow of a Job or a subjob. A trigger can be of different types, such as OnSubjobOk, OnComponentOk, RunIf, etc.
D
Explanation:
A row is an element that carries data between two components in a Job. A row is also called a link or a connector. A row can be of different types, such as Main, Lookup, Reject, Iterate, etc. A subjob is a group of components that are connected together and executed as a single unit. A trigger is an element that controls the execution flow of a Job or a subjob. A trigger can be of different types, such as OnSubjobOk, OnComponentOk, RunIf, etc.
Question #6
Which statement is true about the Sync columns button on the Basic settings tab of the Component view? Choose 2 answers
- A . Retrieves and synchronizes the output file schema with the input file schema for tFileOutputed limited.
- B . Retrieves the schema of the current component to match the Next component
- C . Retrieves the schema from the input component connected in the lob.
- D . Retrieves and synchronizes the output schema with the input schema for tJavaRow.
Correct Answer: B, C
B, C
Explanation:
The "Sync columns" button is used for synchronizing the schema of the current component with either the previous component (the input) or the next component in the job flow. It ensures consistency in the data structure throughout the job.
Option B is correct as it involves updating the schema of the current component to match the schema of the next component in the job flow, ensuring consistent data flow.
Option C is also correct, as it involves retrieving the schema from the input component connected to the current component, ensuring that the current component correctly processes the incoming data according to the schema defined by the input component.
B, C
Explanation:
The "Sync columns" button is used for synchronizing the schema of the current component with either the previous component (the input) or the next component in the job flow. It ensures consistency in the data structure throughout the job.
Option B is correct as it involves updating the schema of the current component to match the schema of the next component in the job flow, ensuring consistent data flow.
Option C is also correct, as it involves retrieving the schema from the input component connected to the current component, ensuring that the current component correctly processes the incoming data according to the schema defined by the input component.
Question #7
In some instances, after applying changes to a component schema, you are asked if you would like to propagate the changes.
What is the significance of this prompt?
- A . Confirm Out you want to apply the schema, changes to the previous component in the Job.
- B . Confirm That you want to apply the schema changes to the selected component.
- C . Confirm that you want to apply the schema changes to both the previous and next components in the Job.
- D . Confirm that you want to apply the schema changes to the next component in the Job.
Correct Answer: D
D
Explanation:
In some instances, after applying changes to a component schema, you are asked if you would like to propagate the changes. This prompt is significant because it allows you to confirm that you want to apply the schema changes to the next component in the Job. This can save you time and effort by automatically updating the schema of the downstream component, instead of manually editing it. However, you should be careful when propagating changes, as it may overwrite existing schemas or cause errors in the Job logic. You can also choose to cancel the propagation and edit the schema manually.
D
Explanation:
In some instances, after applying changes to a component schema, you are asked if you would like to propagate the changes. This prompt is significant because it allows you to confirm that you want to apply the schema changes to the next component in the Job. This can save you time and effort by automatically updating the schema of the downstream component, instead of manually editing it. However, you should be careful when propagating changes, as it may overwrite existing schemas or cause errors in the Job logic. You can also choose to cancel the propagation and edit the schema manually.
Question #8
Using the following input file format as an example:
Which tFileinputDelimted component parameters should you configure to parse the input file correctly? Choose 3 answers
- A . Limit
- B . Schema
- C . Field separator
- D . Footer
- E . Header
Correct Answer: B, C, E
B, C, E
Explanation:
Using the following input file format as an example:
<OCR>Name, Phone Abraham Smith, 510-555-5555 … Steven Doe, 613-555-5555 </OCR>
The tFileInputDelimited component parameters that you should configure to parse the input file correctly are Schema, Field separator, and Header. The Schema parameter defines the structure and type of the data in the input file. You can use a built-in schema or a repository schema to specify the columns and their properties. The Field separator parameter defines the character that separates each field in a row of data. In this case, it is a comma (,). The Header parameter defines the number of rows to be skipped at the beginning of the file. In this case, it is 1, as the first row contains the column names.
B, C, E
Explanation:
Using the following input file format as an example:
<OCR>Name, Phone Abraham Smith, 510-555-5555 … Steven Doe, 613-555-5555 </OCR>
The tFileInputDelimited component parameters that you should configure to parse the input file correctly are Schema, Field separator, and Header. The Schema parameter defines the structure and type of the data in the input file. You can use a built-in schema or a repository schema to specify the columns and their properties. The Field separator parameter defines the character that separates each field in a row of data. In this case, it is a comma (,). The Header parameter defines the number of rows to be skipped at the beginning of the file. In this case, it is 1, as the first row contains the column names.
Question #9
Which methods car you use to specify the schema in a tFilelnputDelimited component? Choose 3 answers
- A . Drag a generic schema metadata item onto the Designer.
- B . Add the component then drag and drop a generic schema metadata item onto the component.
- C . Add the schema to the component using the Schema Editor
- D . Drag a File delimited metadata item from the Repository onto the design workspace.
- E . Add the component, open the Component view, select the Built-in schema type, then click the Edit schema button.
Correct Answer: B, C, E
B, C, E
Explanation:
Option B allows you to drag and drop an already defined generic schema directly onto the tFileInputDelimited component, making it easy to reuse existing schema definitions.
Option C involves using the Schema Editor directly within the component to define or modify the schema. This is a common method for customizing or manually creating schemas in Talend.
Option E is about editing the schema directly in the component’s Built-in schema option. You can open the Component view, choose the Built-in schema, and then use the editor to define or modify the schema.
B, C, E
Explanation:
Option B allows you to drag and drop an already defined generic schema directly onto the tFileInputDelimited component, making it easy to reuse existing schema definitions.
Option C involves using the Schema Editor directly within the component to define or modify the schema. This is a common method for customizing or manually creating schemas in Talend.
Option E is about editing the schema directly in the component’s Built-in schema option. You can open the Component view, choose the Built-in schema, and then use the editor to define or modify the schema.
Question #10
You are using the tMap component to configure a mapping.
What do the tables on the left side of the Map Editor window represent?
- A . Explosions to apply to the input data
- B . Schemas of the output rows
- C . Schemas of the input rows
- D . Expression to apply to the output data
Correct Answer: C
C
Explanation:
The tables on the left side of the Map Editor window represent the schemas of the input rows. The schemas define the structure and type of the data that is coming from the input components connected to the tMap component. You can drag and drop columns from the input tables to the output tables on the right side of the Map Editor window to create mappings and transformations.
C
Explanation:
The tables on the left side of the Map Editor window represent the schemas of the input rows. The schemas define the structure and type of the data that is coming from the input components connected to the tMap component. You can drag and drop columns from the input tables to the output tables on the right side of the Map Editor window to create mappings and transformations.
Question #11
You need to calculate the total number of rows in an input file using a tMlelnputDelimited component.
Which code should you use in a tJava component to write a nb-line variable?
- A . Int nb_line-(integer) globalMap.put(‘’tFileInputDelimited_1_NB_LINE’’)
- B . Int nb_line=(integer)globalMap.put(‘’tFileInputDelimited_1_NB_LINE’’)
- C . Int nb.line-(integer) globalMap.put(‘’tFileInputDelimited_1_NB_LINE’’)
- D . Int nb_line-(String) globalMap.put(‘’tFileInputDelimited_1_NB_LINE’’)
Correct Answer: C
C
Explanation:
You need to use the following code in a tJava component to write a nb_line variable:
int nb_line = (Integer)globalMap.get(“tFileInputDelimited_1_NB_LINE”);
This code retrieves the value of the global variable tFileInputDelimited_1_NB_LINE, which stores the number of rows processed by the tFileInputDelimited component, and assigns it to an integer variable named nb_line. You can then use this variable to print or manipulate the number of rows in your Job. Note that you need to use globalMap.get, not globalMap.put, to access the value of a global variable.
C
Explanation:
You need to use the following code in a tJava component to write a nb_line variable:
int nb_line = (Integer)globalMap.get(“tFileInputDelimited_1_NB_LINE”);
This code retrieves the value of the global variable tFileInputDelimited_1_NB_LINE, which stores the number of rows processed by the tFileInputDelimited component, and assigns it to an integer variable named nb_line. You can then use this variable to print or manipulate the number of rows in your Job. Note that you need to use globalMap.get, not globalMap.put, to access the value of a global variable.
Question #12
Which parameters are defined in File Delimited metadata? Choose 2 answers
- A . Position of the fields
- B . ROW Separator
- C . File Path
- D . Component with which the metadata is associated
Correct Answer: B, C
B, C
Explanation:
The parameters that are defined in File Delimited metadata are:
Row separator: This parameter defines the character or string that separates each row of data in a delimited file. For example, a row separator can be a newline character (n), a carriage return (r), or a combination of both (rn).
File path: This parameter defines the location and name of the delimited file that you want to read or write. You can browse your local system or enter a URL to specify the file path. You can also use context variables or global variables to make the file path dynamic.
B, C
Explanation:
The parameters that are defined in File Delimited metadata are:
Row separator: This parameter defines the character or string that separates each row of data in a delimited file. For example, a row separator can be a newline character (n), a carriage return (r), or a combination of both (rn).
File path: This parameter defines the location and name of the delimited file that you want to read or write. You can browse your local system or enter a URL to specify the file path. You can also use context variables or global variables to make the file path dynamic.
Question #13
You built multiple Jobs in Studio, each uses its own tDBInput component to connect to a common database server, but they all use different credentials.
How should you configure the tDBInput components?
- A . Set the Property type to Repository and replace the credential1; in each component.
- B . Set the Property type to Built-in and set all the relevant properties manually.
- C . Set the Database file to Metadata
- D . Set the Property type, to Repository and use a common DB connection metadata
Correct Answer: B
B
Explanation:
The tDBInput component allows you to configure the connection properties either by using a built-in mode or by using a repository mode. The built-in mode lets you set all the relevant properties manually, such as host, port, database, username, password, etc. The repository mode lets you reuse an existing connection metadata that is stored in the repository. If you have multiple jobs that use different credentials to connect to a common database server, you should use the built-in mode and set the properties for each job individually. This way, you can avoid creating multiple connection metadata in the repository and maintain them separately.
Reference: Talend Data Integration ― Software to Connect, Access, and Transform Data | Talend, [tDBInput properties – 7.3]
B
Explanation:
The tDBInput component allows you to configure the connection properties either by using a built-in mode or by using a repository mode. The built-in mode lets you set all the relevant properties manually, such as host, port, database, username, password, etc. The repository mode lets you reuse an existing connection metadata that is stored in the repository. If you have multiple jobs that use different credentials to connect to a common database server, you should use the built-in mode and set the properties for each job individually. This way, you can avoid creating multiple connection metadata in the repository and maintain them separately.
Reference: Talend Data Integration ― Software to Connect, Access, and Transform Data | Talend, [tDBInput properties – 7.3]
Question #14
You have a tMap component whose main input provides the following data:
There is also a lookup table with the following data:
An inner join is configured between the State column of the main input with the State Code column of the lookup table.
What happens when the row containing the name Andrew laylor is processed?
- A . If an output is configured to collect inner join rejects, the data flows to that output as well as the main output.
- B . If an output is not configured to collect inner join rejects, an error condition is raises.
- C . If an output is not configured to collect inner Join rejects, the data flows to the main output.
- D . If an output is configured to collect inner join rejects, the data flows only to that output.
Correct Answer: D
D
Explanation:
The tMap component allows you to perform data transformations and joins between multiple input sources and output targets. You can configure different types of joins between the main input and the lookup tables, such as inner join, left outer join, right outer join, etc. An inner join returns only the matching rows from both tables based on a join condition. If a row from the main input does not match any row from the lookup table, it is considered as an inner join reject. You can configure an output to collect these rejects by setting the Catch inner join reject option to true. If you do so, the data will flow only to that output and not to the main output. If you do not configure an output to collect the rejects, the data will be ignored and no error will be raised.
Reference: Talend Open
Studio: Open-source ETL and Free Data Integration | Talend, [tMap properties – 7.3]
D
Explanation:
The tMap component allows you to perform data transformations and joins between multiple input sources and output targets. You can configure different types of joins between the main input and the lookup tables, such as inner join, left outer join, right outer join, etc. An inner join returns only the matching rows from both tables based on a join condition. If a row from the main input does not match any row from the lookup table, it is considered as an inner join reject. You can configure an output to collect these rejects by setting the Catch inner join reject option to true. If you do so, the data will flow only to that output and not to the main output. If you do not configure an output to collect the rejects, the data will be ignored and no error will be raised.
Reference: Talend Open
Studio: Open-source ETL and Free Data Integration | Talend, [tMap properties – 7.3]
Question #15
Which statements are true about configuring the input sources of a tMap component? Choose answers
- A . You can use the up and down arrows to interchange the order of the Lookup tables.
- B . Thy main input source is always placed on top and cannot be moved within the tMap component.
- C . The main input source will always be placed on top by default hut ran be dragged to any position.
- D . The order in which the input sources appear on the map does not matter, provided the joins are configured correctly.
Correct Answer: A, B
A, B
Explanation:
The tMap component allows you to configure multiple input sources for your data transformation and mapping. The main input source is always placed on top of the tMap component and cannot be moved within it. The main input source provides the data flow that drives the processing of the tMap component. The lookup tables are placed below the main input source and can be reordered by using the up and down arrows on the toolbar. The order in which the lookup tables appear on the tMap component does not affect the functionality of the joins, as long as they are configured correctly with the appropriate join conditions and expressions.
Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tMap properties – 7.3]
A, B
Explanation:
The tMap component allows you to configure multiple input sources for your data transformation and mapping. The main input source is always placed on top of the tMap component and cannot be moved within it. The main input source provides the data flow that drives the processing of the tMap component. The lookup tables are placed below the main input source and can be reordered by using the up and down arrows on the toolbar. The order in which the lookup tables appear on the tMap component does not affect the functionality of the joins, as long as they are configured correctly with the appropriate join conditions and expressions.
Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tMap properties – 7.3]
Question #16
What determines the name of the tMap output row that delivers join rejects?
- A . The name is predetermined; it is always named Inner join Reject.
- B . The name is determined by the output table you create to catch the rejects.
- C . The name is configurable in the Component view of the tMap component
- D . The name is determined by the input table, you create to generate the rejects.
Correct Answer: B
B
Explanation:
The tMap component allows you to configure different types of joins between the main input and the lookup tables, such as inner join, left outer join, right outer join, etc. An inner join returns only the matching rows from both tables based on a join condition. If a row from the main input does not match any row from the lookup table, it is considered as an inner join reject. You can configure an output to collect these rejects by setting the Catch inner join reject option to true. The name of the output row that delivers the join rejects is determined by the output table you create to catch the rejects. You can name the output table as you wish, such as Rejects, Errors, etc.
Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend,
B
Explanation:
The tMap component allows you to configure different types of joins between the main input and the lookup tables, such as inner join, left outer join, right outer join, etc. An inner join returns only the matching rows from both tables based on a join condition. If a row from the main input does not match any row from the lookup table, it is considered as an inner join reject. You can configure an output to collect these rejects by setting the Catch inner join reject option to true. The name of the output row that delivers the join rejects is determined by the output table you create to catch the rejects. You can name the output table as you wish, such as Rejects, Errors, etc.
Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend,
Question #17
You have a tMap component configured with a single input row1 and three outputs: CA, NY, Rejects.
The input row1 consists of two columns.
Name and State, containing the following data:
All outputs map only the Name column from row1, but CA employs a filter expression, CA.equals(row1.state), while Ny employs a filter expression, NY. Equals (row1, State). All Rejects have no such configuration.
Under these conditions, how does data flow to the outputs?
- A . CA:Thomas Coolidge Andrew TyalorlNY;Calvin Adams;rejects;none
- B . CA:Thomas Coodge;Calvin Adams; rejects:Andrew Taylor
- C . CA:Thomas Coolidge;Ny:Calvin Adams;rejects:Thomas Coolidge, adrew taylor, Calvin Adame
- D . CA:Thomas Coolidge, Andrew Taylor;Ny:Calvin Adams; rejects:Thomas Coolidge, Andrew Taylor,Calvin Adams
Correct Answer: D
D
Explanation:
With a tMap component configured with a single input row1 and three outputs: CA, NY, Rejects, the input row1 consists of two columns: Name and State, and the outputs are configured with filter expressions for CA and NY, while Rejects has no such configuration. Based on the provided data:
Thomas Coolidge, CA: Since the state is "CA", it will flow to the CA output.
Andrew Taylor, Ca: Assuming case insensitivity, since the state is "Ca", it will also flow to the CA output.
Calvin Adams, NY: Since the state is "NY", it will flow to the NY output.
Since there are no rows that fail to meet either the CA or NY filter conditions, no rows will flow to the Rejects output.
D
Explanation:
With a tMap component configured with a single input row1 and three outputs: CA, NY, Rejects, the input row1 consists of two columns: Name and State, and the outputs are configured with filter expressions for CA and NY, while Rejects has no such configuration. Based on the provided data:
Thomas Coolidge, CA: Since the state is "CA", it will flow to the CA output.
Andrew Taylor, Ca: Assuming case insensitivity, since the state is "Ca", it will also flow to the CA output.
Calvin Adams, NY: Since the state is "NY", it will flow to the NY output.
Since there are no rows that fail to meet either the CA or NY filter conditions, no rows will flow to the Rejects output.
Question #18
In the tMap component, where do you set up a filter on the input fields?
- A . Match Model parameter field for fine of the inputs
- B . Expression field for a single column of the output
- C . Expression filter in the output table
- D . Match Model parameter field for one of the main inputs
Correct Answer: C
C
Explanation:
The tMap component allows you to set up a filter on the input fields by using the Expression filter in the output table. The Expression filter is a field where you can enter a logical expression that evaluates to true or false for each input row. For example, if you want to filter out the rows that have null values in a certain column, you can use row1.column != null as the expression filter for that output. The expression filter applies to all the input fields of the row, not just a single column. You cannot set up a filter on the input fields by using the Match Model parameter field for one of the inputs or outputs, as this field is used to define how to match rows between different inputs or outputs based on a key attribute.
Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend
C
Explanation:
The tMap component allows you to set up a filter on the input fields by using the Expression filter in the output table. The Expression filter is a field where you can enter a logical expression that evaluates to true or false for each input row. For example, if you want to filter out the rows that have null values in a certain column, you can use row1.column != null as the expression filter for that output. The expression filter applies to all the input fields of the row, not just a single column. You cannot set up a filter on the input fields by using the Match Model parameter field for one of the inputs or outputs, as this field is used to define how to match rows between different inputs or outputs based on a key attribute.
Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend
Question #19
How are contexts defined?
- A . They are automatically defined by the types of components used in the Job.
- B . Talend Studio defines a default context, and you can define more as needed.
- C . You must define the contexts
- D . In addition to a default context, Talend Studio defines a list of standard contexts you can use in your Ions.
Correct Answer: B
B
Explanation:
In Talend Studio, contexts are used to define parameters that can be changed during job execution, such as database connection information, file paths, etc. Each job has a default context, but users can create additional contexts to switch configurations between different environments (such as development, testing, and production) without changing the job design.
B
Explanation:
In Talend Studio, contexts are used to define parameters that can be changed during job execution, such as database connection information, file paths, etc. Each job has a default context, but users can create additional contexts to switch configurations between different environments (such as development, testing, and production) without changing the job design.
Question #20
A Job has two contexts defined: lest (the default) and Prod, and two context variables defined: path and server.
Which expression should you use to reference the path?
- A . context.Tfblpdtr1
- B . context(path)
- C . contex,(test.Prod).path
- D . context, path
Correct Answer: D
D
Explanation:
To reference the value of a context variable you defined, you can use the syntax context.variable_name, where variable_name is the name of the context variable. For example, if you have a context variable named path, you can reference its value by using context.path. You do not need to specify the context name (such as test or prod) or use parentheses or brackets around the variable name.
Reference: Talend Data Integration ― Software to Connect, Access, and Transform Data | Talend,
D
Explanation:
To reference the value of a context variable you defined, you can use the syntax context.variable_name, where variable_name is the name of the context variable. For example, if you have a context variable named path, you can reference its value by using context.path. You do not need to specify the context name (such as test or prod) or use parentheses or brackets around the variable name.
Reference: Talend Data Integration ― Software to Connect, Access, and Transform Data | Talend,