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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

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

2. Which Snowflake SQL would a Data Analyst use in a trained Cortex model named forecast_model to retrieve the components that contribute to the predictions?

A) forecast_model!SHOW_EVALUATION_METRICS()
B) forecast_model!SHOW_TRAINING_LOGS()
C) forecast_model!FORECAST()
D) forecast_model!EXPLAIN_FEATURE_IMPORTANCE()

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B) The foreign key is dropped because the reference is no longer valid.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

4. This command was executed:
SQL
SELECT seq4(), uniform(1, 10, RANDOM(12))
FROM TABLE(GENERATOR(TIMELIMIT => NULL))
ORDER BY 1;
How many rows will be generated?

A) An infinite number
B) 10
C) 12
D) 0

5. A company is looking for new headquarters and wants to minimize the distances employees have to commute.
The company has geographic data on employees' residences. Through the Snowflake Marketplace, the company obtained geographic data for possible locations of the new headquarters. How can the distance between an employee's residence and potential headquarters locations be calculated in meters with the LEAST operational overhead?

A) HAVERSINE
B) ST_DISTANCE
C) ST_LENGTH
D) ST_HAUSDORFFDISTANCE

Solutions: