DAA-C01 exam

When maintaining reports and dashboards, why is it essential to configure subscriptions and updates?A . They limit data accessibility for effective dashboard usage.B . Subscriptions and updates ensure timely information delivery.C . They complicate dashboard management without any added benefits.D . Configuring these features hampers dashboard usability.View AnswerAnswer: B Explanation:...

How do Stored Procedures contribute to the efficiency of data analysis using SQL?A . Stored Procedures enable the execution of repetitive tasks, enhancing efficiency.B . They solely facilitate basic arithmetic operations.C . They limit data accessibility, hindering analysis.D . Stored Procedures can't be used in conjunction with User-Defined Functions (UDFs).View...

Which action is essential in performing exploratory ad-hoc analyses?A . Focusing solely on established trends without investigating anomaliesB . Utilizing ad-hoc queries to examine patterns and anomaliesC . Analyzing a small subset of the available dataD . Relying solely on predefined queries without explorationView AnswerAnswer: B Explanation: Ad-hoc analysis involves...

When maintaining reports and dashboards, why is it essential to build automated and repeatable tasks?A . Repeatable tasks hinder data updates in dashboards.B . Automated tasks reduce manual efforts, ensuring consistency.C . They ensure inconsistency in reports and dashboards.D . Automated tasks increase the complexity of dashboard management.View AnswerAnswer: B...

How do materialized views differ from secure views in data analysis?A . Secure views provide precomputed snapshots, unlike materialized views.B . Materialized views offer enhanced data security while allowing selective data access.C . Secure views precompute data, unlike materialized views.D . Materialized views restrict data access for improved security.View AnswerAnswer:...

Which statistical method is commonly used in forecasting based on historical data?A . Regression analysisB . Simple data aggregationC . Data normalizationD . Inferential statisticsView AnswerAnswer: A Explanation: Regression analysis is frequently employed for forecasting based on historical data, predicting future trends based on past patterns.

In data modeling for BI requirements, when is it preferable to use a flattened data set instead of a data model?A . For complex data analysis needsB . For scenarios necessitating extensive data transformationsC . For situations requiring high data normalizationD . For quick and simple data explorationView AnswerAnswer: D...

When selecting and implementing an effective data model, what considerations are crucial for ensuring its suitability for BI requirements? (Select all that apply)A . Scalability and flexibilityB . Conformity to specific database standards onlyC . Extensive data denormalizationD . Performance and ease of maintenanceView AnswerAnswer: A,D Explanation: Effective data models...

In Snowflake, how does Time Travel feature assist in data retrieval and analysis?A . Limits data access for specific user rolesB . Accelerates query performance significantlyC . Enables querying data as of a specific point in timeD . Provides real-time data updatesView AnswerAnswer: C Explanation: The Time Travel feature allows...

In Snowflake, how do window functions differ from table functions?A . Window functions modify table structures.B . Window functions work on entire tables.C . Table functions return tables as results.D . Table functions operate on windowed rows.View AnswerAnswer: D Explanation: Table functions operate on windowed rows, distinguishing them from window...