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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. Consider the following chart.

What can be said about the correlation for sales over time between the two categories?

A) There is a negative correlation.
B) There is a non-linear correlation.
C) There is a positive correlation.
D) There is no correlation. (Selected)

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

3. A Data Analyst creates a dashboard showing the total credit consumption for each virtual warehouse as follows:

Why is the query failing?

A) The current database context must be changed to SNOWFLAKE.
B) DB1 must be authorized to have SELECT access to ACCOUNT_USAGE.
C) The query must be executed by a user with the ACCOUNTADMIN role.
D) INFORMATION_SCHEMA should be used instead of ACCOUNT_USAGE.

4. A Data Analyst needs to temporarily hide a tile in a dashboard. The data will need to be available in the future, and additional data may be added. Which tile should be used?

A) Show/Hide
B) Duplicate
C) Unplace
D) Delete

5. 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 :datebucket system filter in a WHERE clause, and include the :daterange system filter in a GROUP BY clause.
B) Include the :daterange system filter in a WHERE clause, and include the :datebucket 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 SELECT clause, and include the :datebucket system filter in a GROUP BY clause.

Solutions: