Snowflake DAA-C01 : SnowPro Advanced: Data Analyst Certification Exam

  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam
  • Updated: Oct 07, 2026
  • Q & A: 67 Questions and Answers

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Snowflake DAA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1

A Data Analyst has created a custom filter called branch_region on a Snowflake dashboard. The filter contains a list of regions where the company has stores. How should the filter be referenced in dashboard queries?

  • A. $branch_region
  • B. %branch_region
  • C. ::branch_region
  • D. :branch_region
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

Which aggregate functions can be used to provide values for a given bucket in Snowsight charts? (Select THREE).

  • A. Max
  • B. Any Value
  • C. Mode
  • D. HLL
  • E. Standard Deviation
  • F. Average
Reveal Solution  Discussion  0

Correct Answer: A,B,F  🗳️

Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).

Question #3

A Data Analyst runs a query in a Snowflake worksheet, and selects a numeric column from the result grid.
What automatically-generated contextual statistic can be visualized?

  • A. A histogram, displayed for all numeric, date, and time columns
  • B. A key distribution
  • C. A frequency distribution, displayed for all numeric columns
  • D. MIN/MAX values for the column
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

A Data Analyst has a very large table with columns that contain country and city names. Which query will provide a very quick estimate of the total number of different values of these two columns?

  • A. SELECT HLL(country, city) FROM TABLE1;
  • B. SELECT COUNT(DISTINCT country, city) FROM TABLE1;
  • C. SELECT DISTINCT COUNT(country, city) FROM TABLE1;
  • D. SELECT COUNT(country, city) FROM TABLE1;
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).

Question #5

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 C
  • B. Option A
  • C. Option B
  • D. Option D
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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