Free Access Snowflake.DAA-C01.v2025-12-20.q172 Practice Test (Page 8)

Question 31

You are building a dashboard in Power BI that connects to Snowflake. The dashboard needs to display the trend of daily active users (DAU) for the past year. The 'USER_ACTIVITY table in Snowflake contains columns: 'USER ONT), 'ACTIVITY DATE (DATE), and 'ACTIVITY TYPE (VARCHAR). Due to the large size of the 'USER ACTIVITY table, query performance is critical. Which of the following strategies will BEST optimize the query executed by Power BI against Snowflake to calculate DAU?

A.Directly query the 'USER_ACTIVITY table from Power BI using a DAX measure to calculate distinct user counts per day. Rely on Power BI'S query folding capabilities to optimize the query sent to Snowflake.

B.Create a Snowflake view that calculates the DAU for each day using 'COUNT(DISTINCT USER_ID)' and 'GROUP BY ACTIVITY_DATE' , then connect Power BI to this view.

C.Create a materialized view in Snowflake that pre-calculates the DAU for each day, then connect Power BI to this materialized view.

D.Import the entire 'USER ACTIVITY table into Power BI using Power BI Desktop's data import functionality and calculate DAU within Power BI'S data model.

E.Using a scheduled task in Snowflake, regularly create a summary table containing daily active users, then connect Power BI to that summary table.

Question 32

When optimizing query performance in Snowflake, what benefits does result caching provide?

A.Improves schema changes management

B.Restricts query optimization

C.Limits data access for specific user roles

D.Speeds up query execution by storing intermediate results

Question 33

What distinguishes Materialized views from Secure views in the context of data analysis?

A.Secure views provide a precomputed snapshot of data, unlike Materialized views.

B.Materialized views restrict data access for security purposes, unlike Secure views.

C.Materialized views enhance data security, while Secure views offer improved query performance.

D.Secure views provide enhanced data security without precomputing data.

Question 34

When performing forecasting, which factors are essential for accurate predictions? (Select all that apply)

A.Using basic arithmetic functions exclusively for forecasting

B.Relying solely on historical data without considering external influences

C.Incorporating statistical methods for prediction accuracy

D.Examining trends and anomalies in historical data

Question 35

How does automating and implementing data processing contribute to the overall efficiency of data ingestion?

A.Automating processing hampers data accuracy.

B.Implementing data processing increases data redundancy.

C.Automation eliminates human intervention, ensuring consistency.

D.It slows down the data ingestion process significantly.

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Question 31

Question 32

Question 33

Question 34

Question 35

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