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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

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

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

3. 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, SUM(ACTIVE_DRIVERS), VARIANCE(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, VARIANCE(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY;

4. A Data Analyst needs to generate a graphic that will identify any natural clusters in a data set containing details about completed orders. Which Snowsight chart should be used?

A) Scatter plot
B) Line chart
C) Heat grid
D) Bar chart

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

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

Solutions: