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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Presentation and Data Visualization | 28%-29% | - Create dashboards
|
| Topic 2: Data Transformation and Data Modeling | 22%-30% | - Transform data using SQL
|
| Topic 3: Data Ingestion and Data Preparation | 15%-20% | - Perform data discovery to identify what is needed from available datasets
|
| Topic 4: Data Analysis | 30%-32% | - Perform advanced analytics using SQL
|
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
Question 1
A scorecard tile on a Snowsight dashboard shows a comparison between the industry average employee age (which is 34) and a company's average employee age (which is 38). The scorecard tile looks like this:
Comparison with industry average
How should this tile be interpreted?
A. 38 is the comparison and 12% is the projected industry growth.
B. 38 is the comparison and 12% is the average age change in the last year.
C. 38 is the value and 12% is the percent difference from the comparison.
D. 38 is the value and 12% is the standard deviation.
Question 2
A Data Analyst created two tables that are related by a foreign key, using the following commands:
Then the Analyst renamed the referenced table using the following command: ALTER TABLE mother RENAME TO father; What happens to the foreign key after the referenced table is renamed?
A. The foreign key is dropped because the reference is no longer valid.
B. The foreign key will not be used during the query rewrite.
C. The foreign key is updated to reference the renamed table.
D. The foreign key becomes invalid because the referenced table no longer exists.
Question 3
A Data Analyst is given access to a table of inventory transfers which includes the product details, fulfillment warehouse location, and destination warehouse location. Which type of visualization should be used to illustrate the most active product transfer routes?
A. Scorecard
B. Heat grid
C. Scatterplot
D. Line chart
Question 4
The image shows a table with a variant column that is storing a JSON record:
This SQL query is run:
What will be the result?
A.
B.
C.
D. 
Question 5
How can a Data Analyst automatically create a table structure for loading a Parquet file?
A. Use the INFER_SCHEMA together with the CREATE TABLE LIKE command.
B. Use the GENERATE_COLUMN_DESCRIPTION with the CREATE TABLE USING TEMPLATE command.
C. Use the GENERATE_COLUMN_DESCRIPTION with the CREATE TABLE LIKE command.
D. Use INFER_SCHEMA together with the CREATE TABLE USING TEMPLATE command.
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: D |







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