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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. What will the following query return?
SELECT * FROM testtable SAMPLE BLOCK (0.012) REPEATABLE (99992);

A) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample, with the seed set to 99992.
B) A sample containing 99992 records of a table in which each block of rows has a 0.012% probability of being included in the sample.
C) A sample of a table in which each block of rows has a 0.012% probability of being included in the sample, with the seed set to 99992.
D) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample where repeated elements are allowed.

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 standard deviation.
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 comparison and 12% is the average age change in the last year.

3. 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.

4. A Data Analyst is working with a table that has 1 record per day, with sales information. Which window function would calculate a 7-day moving average of sales, where SALES_DATE represents the date column?

A) AVG(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 6 PRECEDING AND
CURRENT ROW)
B) SUM(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 7 PRECEDING AND
CURRENT ROW)
C) AVG(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 7 PRECEDING AND
CURRENT ROW)
D) SUM(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 6 PRECEDING AND
CURRENT ROW)

5. A Data Analyst created two tables that are related by a foreign key, using the following commands:

Then the Analyst renamed the referenced table using the following command: ALTER TABLE mother RENAME TO father; What happens to the foreign key after the referenced table is renamed?

A) The foreign key is dropped because the reference is no longer valid.
B) The foreign key will not be used during the query rewrite.
C) The foreign key is updated to reference the renamed table.
D) The foreign key becomes invalid because the referenced table no longer exists.

Solutions: