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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A single variant data column table RAW_SOURCE has the following JSON records:

A Data Analyst needs to get the value of the "f" field and have it in a consumable, tabular format. Which query should be used to meet this requirement?

A) select src.events:f::number from raw_source src;
B) select value:f::number from raw_source, lateral flatten( input => data:events );
C) select data:events:f::number from raw_source;
D) select value:f::number from raw_source, lateral flatten( input => data );

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

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

3. 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 0.012% probability of being included in the sample, with the seed set to 99992.
B) 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.
C) 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.
D) 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.

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

5. The image shows a table with a variant column that is storing a JSON record:

This SQL query is run:

What will be the result?

A)

B)

C)

D)

Solutions: