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Snowflake SnowPro Advanced DAA-C01

DAA-C01

Exam Code: DAA-C01

Exam Name: SnowPro Advanced: Data Analyst Certification Exam

Updated Time: Oct 12, 2026

Q & A: 67 Questions and Answers

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About Snowflake DAA-C01 Exam Materials

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Snowflake DAA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1
A Data Analyst has a Parquet file stored in an Amazon S3 staging area. Which query will copy the data from the staged Parquet file into separate columns in the target table?

A. Option D
B. Option C
C. Option A
D. Option B


Question #2
A Data Analyst has been analyzing customer data in several worksheets. Each worksheet contains a complex query that provides clean and prepared data for visualizations. The Analyst has also created a Customer Overview dashboard in Snowsight. How should the Analyst add the worksheets in the Customer Analysis database to the dashboard, using the LEAST amount of operational overhead?

A. Query the QUERY_HISTORY view to find those queries, then add the queries into the dashboard.
B. Move the worksheets into the dashboard.
C. Copy and paste the worksheets into the dashboard.
D. Open each worksheet, copy the query, then paste the query into the dashboard.


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 >= dateadd('days', -7, CURRENT_TIMESTAMP())
B. Where start_time = :date_filter
C. Where start_time = :daterange
D. Where start_time >= dateadd('days', -7, SYSDATE())


Question #4
A table named STUDENT is created:

What will be the output?

A.

B.

C.

D.


Question #5
A Data Analyst executes a query in a Snowflake worksheet that returns the total number of daily sales, and the total amount for each sale. How can the Analyst check the distribution of the total amount, without running the query again?

A. Go to Chart and select a histogram that includes the two variables.
B. Call the WIDTH_BUCKET function.
C. Click on the column header in the results and review the histogram.
D. Go to Chart and select a bar chart that contains the two variables.


Solutions:

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

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