Snowflake SnowPro Advanced: Data Analyst Certification : DAA-C01

  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam
  • Updated: Oct 01, 2026
  • Q&As: 67 Questions and Answers

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Snowflake DAA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1

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';
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

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.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

A Data Analyst created a cost overview dashboard in Snowsight. Management has asked for a system date filter to easily change the time period and refresh the data in all dashboard tiles with a single filter selection.
The system date filter is shown below:

The Analyst wants to apply the filter onto individual dashboard components.
Adding which where clause to the queries will apply the filter as required?

  • A. Where start_time = :daterange
  • B. Where start_time >= dateadd('days', -7, CURRENT_TIMESTAMP())
  • C. Where start_time >= dateadd('days', -7, SYSDATE())
  • D. Where start_time = :date_filter
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

A Data Analyst executes a complex query. Which query will allow the Analyst to access the results a second time?

  • A. SELECT LAST_QUERY_ID(-1);
  • B. SELECT * FROM TABLE(INFORMATION_SCHEMA.QUERY_HISTORY());
  • C. SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
  • D. DESC RESULT LAST_QUERY_ID();
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

Why would an INFER_SCHEMA table function be used?

  • A. To detect the file metadata schema from staged data files that contain semi-structured data
  • B. To detect the file metadata schema from staged data files that contain unstructured data
  • C. To detect the metadata schema from a table cell that contains JSON data
  • D. To retrieve the column definitions from a previously-loaded database table
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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