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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. Which Snowflake feature allows users to encapsulate a series of SQL statements into a reusable database object, facilitating modular code development?

A) Materialized view
B) Common Table Expressions (CTE)
C) User-Defined Function (UDF)
D) Stored procedure

2. What does the "SQL keyword" refer to in the context of adding filters to a worksheet?

A) The name of a User-Defined Function (UDF) used to define the filter "key" values
B) The name of the function used to generate the filter
C) The filter name to be inserted into queries
D) The table name containing the static filter "key" values

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

4. A Data Analyst created a SQL statement that updates a table used for reporting. The Analyst now wants to automate the execution of that SQL.
The Analyst decides to use a task for this along with a stream called MYSTREAM on the source table so only they can update the table if there is new data.
Which statement will create a task that will execute when there is new data in MYSTREAM without having to be executed manually?

A)

B)

C)

D)

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

Solutions: