Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion and Data Preparation | 15%-20% | - Use a collection system to retrieve data
|
| Data Presentation and Data Visualization | 28%-29% | - Integrate with BI tools
|
| Data Analysis | 30%-32% | - Perform advanced analytics using SQL
|
| Data Transformation and Data Modeling | 22%-30% | - Design data models
|
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
1. When sharing views across accounts, which function should be used on the row access policy for the secure views to give users access to rows in a base table?
A) CURRENT_ROLE
B) CURRENT_USER
C) CURRENT_AVAILABLE_ROLES
D) CURRENT_ACCOUNT
2. A Data Analyst needs to create a custom filter called state in a Snowflake dashboard using a SQL query.
Which query will include this custom filter?
A) select avg(total_income), state from taxpayer_wages group by state having state = @state;
B) select avg(total_income), state from taxpayer_wages group by state having state = :state;
C) select avg(total_income), state from taxpayer_wages group by state having state = 'state';
D) select avg(total_income), state from taxpayer_wages group by state having state = state;
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, 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;
4. This command was executed:
SQL
SELECT seq4(), uniform(1, 10, RANDOM(12))
FROM TABLE(GENERATOR(TIMELIMIT => NULL))
ORDER BY 1;
How many rows will be generated?
A) 12
B) 0
C) An infinite number
D) 10
5. A Data Analyst wants to transform query results. Which transformation option will incur compute costs?
A) Increasing or decreasing decimal precision.
B) Formatting date and timestamp columns.
C) Sorting a column by using the column options.
D) Showing a thousand separator for numeric columns.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: C |
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