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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 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.
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.

2. 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 7 PRECEDING AND
CURRENT ROW)
B) SUM(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 6 PRECEDING AND
CURRENT ROW)
C) AVG(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 6 PRECEDING AND
CURRENT ROW)
D) SUM(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 7 PRECEDING AND
CURRENT ROW)

3. 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A) The foreign key is dropped because the reference is no longer valid.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.

4. A Data Analyst creates and populates the following table:
create or replace table aggr(v int) as select * from values (1), (2), (3), (4); The Analyst then executes this query:
select percentile_disc(0.60) within group (order by v desc) from aggr;
What will be the result?

A) 2
B) 3
C) 1
D) 4

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

Solutions: