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Snowflake DAA-C01 Exam Syllabus Topics:

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst has been asked to predict sales revenue through the end of the year. Which function will provide this information?

A) VARIANCE
B) COVAR_SAMP
C) REGR_SLOPE
D) CORR

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

3. A scorecard tile on a Snowsight dashboard shows a comparison between the industry average employee age (which is 34) and a company's average employee age (which is 38). The scorecard tile looks like this:
Comparison with industry average

How should this tile be interpreted?

A) 38 is the comparison and 12% is the average age change in the last year.
B) 38 is the comparison and 12% is the projected industry growth.
C) 38 is the value and 12% is the percent difference from the comparison.
D) 38 is the value and 12% is the standard deviation.

4. A Data Analyst needs to add address details based on a customer's latitude and longitude to a customer sales database. The Analyst found a free Worldwide Address Data listing on the Snowflake Marketplace. The ACCOUNTADMIN placed the data set into a new database called ADDRESS_DATA. The Data Analyst needs to join the ADDRESS_DATA.OPENADDRESS table with the ORDERS table which is stored in the GLOBAL_DWH database. The combined data set needs to be created as a view. How can this be achieved?

A) Create a view in the ADDRESS_DATA database.
B) Create a view in the GLOBAL_DWH database.
C) Ask the ACCOUNTADMIN to grant the Data Analyst the IMPORTED_PRIVILEGES on the ADDRESS_DATA database and then create a view in the ADDRESS_DATA database.
D) Create a new schema called ENRICHED in the ADDRESS_DATA database and create this view in the ENRICHED schema.

5. A Data Analyst has been analyzing customer data in several worksheets. Each worksheet contains a complex query that provides clean and prepared data for visualizations. The Analyst has also created a Customer Overview dashboard in Snowsight. How should the Analyst add the worksheets in the Customer Analysis database to the dashboard, using the LEAST amount of operational overhead?

A) Query the QUERY_HISTORY view to find those queries, then add the queries into the dashboard.
B) Copy and paste the worksheets into the dashboard.
C) Open each worksheet, copy the query, then paste the query into the dashboard.
D) Move the worksheets into the dashboard.

Solutions: