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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Loading and Unloading | - Data ingestion methods
|
| Data Modeling and Performance Optimization | - Modeling approaches in Snowflake
|
| Snowflake Architecture and Data Platform Fundamentals | - Data platform fundamentals
|
| Data Transformation and Analysis | - Analytical workloads
|
| Security, Governance, and Data Sharing | - Access control and security
|
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
Question 1
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()
Question 2
A Data Analyst needs to rotate a table by transforming a wide table's columns into rows.
Which operator will be MOST beneficial for producing this output?
A. UNPIVOT
B. EXCEPT
C. PIVOT
D. INTERSECT
Question 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, VARIANCE(ACTIVE_DRIVERS, 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, SUM(ACTIVE_DRIVERS), AVG(AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY;
Question 4
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
Question 5
While loading data into Snowflake using named file formats, a file format defined in which location has precedence?
A. The table definition
B. The schema definition
C. The COPY INTO statement
D. The stage definition
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: C |
