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Snowflake DAA-C01

DAA-C01

Exam Code: DAA-C01

Exam Name: SnowPro Advanced: Data Analyst Certification Exam

Updated: Oct 03, 2026

Q & A: 67 Questions and Answers

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Snowflake DAA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Data Analysis30%-32%- Perform advanced analytics using SQL
  • 1. Time-series analysis
  • 2. Snowflake-specific analytical features
  • 3. Aggregate functions
Data Ingestion and Data Preparation15%-20%- Prepare data and load into Snowflake
  • 1. Load files using Snowsight
  • 2. Load data from external/internal stages into a table
- Implement data processing solutions
  • 1. Automate and implement data pipelines (scheduling)
  • 2. Respond to processing failures
  • 3. Use logging and monitoring solutions (auditing, data lineage)
  • 4. Cleanse, conform, and enrich data
- Use a collection system to retrieve data
  • 1. Synthetic Data Generation
  • 2. Retrieve data from unstructured sources
  • 3. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML)
  • 4. Retrieve data from structured sources (CSV)
- Perform data discovery to identify what is needed from available datasets
  • 1. Determine the level of data granularity required
  • 2. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE)
  • 3. Query tables to assess data elements and statistics maintained by Snowflake
  • 4. Evaluate required transformations (table joins, set operations, ASOF JOINS)
  • 5. Identify elements required for business goals using BI reports or SQL analysis
- Use best practice considerations relating to data integrity structures
  • 1. Perform table joins between parent/child tables
  • 2. Implement constraints
  • 3. Define primary keys for tables
- Enrich data by identifying and accessing relevant data from the Snowflake Marketplace
  • 1. Create tables and views
  • 2. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings)
  • 3. Find external data sets that correlate with available data
Data Presentation and Data Visualization28%-29%- Create dashboards
  • 1. Present analytical results
  • 2. Snowsight dashboards
- Integrate with BI tools
  • 1. Other partner visualization tools
  • 2. Tableau integration
  • 3. Power BI integration
Data Transformation and Data Modeling22%-30%- Design data models
  • 1. Data vault models
  • 2. Snowflake schema design
  • 3. Star schema design
- Transform data using SQL
  • 1. PIVOT/UNPIVOT operations
  • 2. Window functions
  • 3. Common Table Expressions (CTEs)
  • 4. QUALIFY clauses

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1
A Data Analyst created a SQL statement that updates a table used for reporting. The Analyst now wants to automate the execution of that SQL.
The Analyst decides to use a task for this along with a stream called MYSTREAM on the source table so only they can update the table if there is new data.
Which statement will create a task that will execute when there is new data in MYSTREAM without having to be executed manually?

A.

B.

C.

D.


Question #2
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 value and 12% is the standard deviation.
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 comparison and 12% is the projected industry growth.


Question #3
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. Create the table by querying the RESULT_SCAN.
B. List the cache content, then use the data saved in the RESULT_SCAN for tableX.
C. Pass the new table as a function argument.
D. Load the function call results directly INTO tableX.


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

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


Question #5
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;


Solutions:

Question #1
Correct Answer: A
Question #2
Correct Answer: C
Question #3
Correct Answer: A
Question #4
Correct Answer: C
Question #5
Correct Answer: C

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