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Snowflake DAA-C01 Exam Syllabus Topics:

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. What functions should a Data Analyst use to run descriptive analytics on a data set? (Select TWO).

A) APPROX_COUNT_DISTINCT
B) REGR_INTERCEPT
C) ROW_NUMBER
D) REGR_SLOPE
E) AVG

2. A Data Analyst needs to add address details based on a customer's latitude and longitude to a customer sales database. The Analyst found a free Worldwide Address Data listing on the Snowflake Marketplace. The ACCOUNTADMIN placed the data set into a new database called ADDRESS_DATA. The Data Analyst needs to join the ADDRESS_DATA.OPENADDRESS table with the ORDERS table which is stored in the GLOBAL_DWH database. The combined data set needs to be created as a view. How can this be achieved?

A) Create a view in the ADDRESS_DATA database.
B) Create a new schema called ENRICHED in the ADDRESS_DATA database and create this view in the ENRICHED schema.
C) Create a view in the GLOBAL_DWH database.
D) Ask the ACCOUNTADMIN to grant the Data Analyst the IMPORTED_PRIVILEGES on the ADDRESS_DATA database and then create a view in the ADDRESS_DATA database.

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

4. A Data Analyst has been asked to predict sales revenue through the end of the year. Which function will provide this information?

A) CORR
B) REGR_SLOPE
C) VARIANCE
D) COVAR_SAMP

5. What will be the output of this query?
SELECT 100::FLOAT * 20.78::INTEGER || ' Square Feet';

A) 2100 Square Feet
B) 2078 Square Feet
C) 2078.00 Square Feet
D) A conversion error

Solutions: