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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst has a very large table with columns that contain country and city names. Which query will provide a very quick estimate of the total number of different values of these two columns?

A) SELECT COUNT(DISTINCT country, city) FROM TABLE1;
B) SELECT COUNT(country, city) FROM TABLE1;
C) SELECT DISTINCT COUNT(country, city) FROM TABLE1;
D) SELECT HLL(country, city) FROM TABLE1;

2. Table TB_A with column COL_B contains an ARRAY. Which statement will select the last element of the ARRAY?

A) SELECT LAST_VALUE(COL_B) FROM TB_A;
B) SELECT COL_B[-1] FROM TB_A;
C) SELECT GET(COL_B, ARRAY_SIZE(COL_B)-1) FROM TB_A;
D) SELECT COL_B[ARRAY_SIZE(COL_B)] FROM TB_A;

3. Consider the following chart.

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

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

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

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

5. 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 projected industry growth.
B) 38 is the comparison and 12% is the average age change in the last year.
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.

Solutions: