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Snowflake DAA-C01 Exam Syllabus Topics:

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question 1

This command was executed:
SQL
SELECT seq4(), uniform(1, 10, RANDOM(12))
FROM TABLE(GENERATOR(TIMELIMIT => NULL))
ORDER BY 1;
How many rows will be generated?

A. An infinite number
B. 12
C. 10
D. 0

Question 2

When building a Snowsight dashboard that will allow users to filter data within a worksheet, which Snowflake system filters should be used?

A. Include the :daterange system filter in a SELECT clause, and include the :datebucket system filter in a GROUP BY clause.
B. Include the :datebucket system filter in a WHERE clause, and include the :daterange system filter in a GROUP BY clause.
C. Include the :datebucket system filter in a WHERE clause, and include the :daterange system filter in a SELECT clause.
D. Include the :daterange system filter in a WHERE clause, and include the :datebucket system filter in a GROUP BY clause.

Question 3

A table named STUDENT is created:

What will be the output?

A.

B.

C.

D.

Question 4

A Data Analyst is creating a Snowsight dashboard from a shared worksheet. What happens to the access and permissions of the users who initially had sharing privileges on the worksheet?

A. The original users lose access to the worksheet, their permissions on the worksheet are revoked.
B. The original users retain access and permissions on the worksheet.
C. The original users gain additional access to the worksheet.
D. The original users temporarily lose access but regain it once the dashboard is created.

Question 5

A large, complicated query is used to generate a data set for a report on the most recent month. It is taking longer than expected. A review of the Query Profile shows excessive spilling. How can the performance of the query be improved WITHOUT increasing costs?

A. Create a materialized view clustered on a date column, on the table that is causing the spilling.
B. Change the source tables into external tables to establish and take advantage of custom partitioning.
C. Run the query against zero-copy clones of the source tables to avoid contention with other queries.
D. Split the query into multiple steps, replacing Common Table Expressions (CTEs) with temporary tables to process the data in smaller batches.

Solutions: