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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. 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, CORR(ACTIVE_DRIVERS, 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, SUM(ACTIVE_DRIVERS), AVG(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;

2. A large, complicated query is used to generate a data set for a report on the most recent month. It is taking longer than expected. A review of the Query Profile shows excessive spilling. How can the performance of the query be improved WITHOUT increasing costs?

A) Create a materialized view clustered on a date column, on the table that is causing the spilling.
B) Change the source tables into external tables to establish and take advantage of custom partitioning.
C) Split the query into multiple steps, replacing Common Table Expressions (CTEs) with temporary tables to process the data in smaller batches.
D) Run the query against zero-copy clones of the source tables to avoid contention with other queries.

3. A Data Analyst executes a complex query. Which query will allow the Analyst to access the results a second time?

A) DESC RESULT LAST_QUERY_ID();
B) SELECT LAST_QUERY_ID(-1);
C) SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
D) SELECT * FROM TABLE(INFORMATION_SCHEMA.QUERY_HISTORY());

4. A Data Analyst created a model called modelX using SNOWFLAKE.ML.FORECAST. The Analyst needs to predict the next few values and save the result directly into tableX. What step does the Analyst need to take after calling the modelX!FORECAST function?

A) List the cache content, then use the data saved in the RESULT_SCAN for tableX.
B) Load the function call results directly INTO tableX.
C) Pass the new table as a function argument.
D) Create the table by querying the RESULT_SCAN.

5. Given the following data:

This SELECT statement is executed:

What will be the result?

A) 1.8
B) 1.84
C) 200
D) 2.0

Solutions: