Snowflake DAA-C01 : SnowPro Advanced: Data Analyst Certification Exam

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Snowflake DAA-C01 Exam Syllabus Topics:

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. Why would a Data Analyst use a dimensional model rather than a single flat table to meet BI requirements for a virtual warehouse? (Select TWO).

A) Dimensional modelling will improve query performance over a single table.
B) Combining facts and dimensions in a single flat table limits the scalability and flexibility.
C) Dimensional modelling will save on storage space since it is denormalized.
D) Snowflake generally performs better with dimensional modelling.
E) Dimensions and facts allow power users to run ad-hoc analyses.

2. A Data Analyst needs to generate a graphic that will identify any natural clusters in a data set containing details about completed orders. Which Snowsight chart should be used?

A) Bar chart
B) Heat grid
C) Scatter plot
D) Line chart

3. A Data Analyst creates and populates the following table:
create or replace table aggr(v int) as select * from values (1), (2), (3), (4); The Analyst then executes this query:
select percentile_disc(0.60) within group (order by v desc) from aggr;
What will be the result?

A) 4
B) 1
C) 3
D) 2

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.

5. A Data Analyst executes a complex query. Which query will allow the Analyst to access the results a second time?

A) DESC RESULT LAST_QUERY_ID();
B) SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
C) SELECT LAST_QUERY_ID(-1);
D) SELECT * FROM TABLE(INFORMATION_SCHEMA.QUERY_HISTORY());

Solutions: