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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. What does the "SQL keyword" refer to in the context of adding filters to a worksheet?

A) The table name containing the static filter "key" values
B) The name of the function used to generate the filter
C) The filter name to be inserted into queries
D) The name of a User-Defined Function (UDF) used to define the filter "key" values

2. 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) 3
C) 4
D) 2

3. A Data Analyst wants to use pandas code they have previously written to process a column of text and return multiple rows of parsed output for each input value. The Analyst wants to be able to join these results with other tables in a single transaction. Which type of extensibility feature should the Analyst use?

A) Vectorized User-Defined Table Function (UDTF)
B) User-Defined Function (UDF)
C) External function
D) Stored procedure

4. A Data Analyst needs a sample of 10 rows from a table FCT_SALES that has billions of rows. Which commands can be used to accomplish this? (Select TWO).

A) SELECT * FROM FCT_SALES SAMPLE 10;
B) SELECT TOP 10 * FROM FCT_SALES;
C) SELECT * FROM FCT_SALES SAMPLE (10 ROWS);
D) SELECT TOP (10 ROWS) * FROM FCT_SALES;
E) SELECT TOP 10 ROWS * FROM FCT_SALES;

5. A Data Analyst for a ride-sharing company needs to assess the relationship between the number of active drivers in a city, and the average waiting time for passengers. Which query will determine if an increase in the number of active drivers is associated with a decrease in the average waiting time?

A) SELECT CITY, SUM(ACTIVE_DRIVERS), AVG(AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY;
B) SELECT CITY, VARIANCE(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY;
C) SELECT CITY, CORR(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;
D) SELECT CITY, SUM(ACTIVE_DRIVERS), VARIANCE(AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;

Solutions: