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

DAA-C01 Exam Dumps

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Certification Provider: Snowflake
Exam Code / Number: DAA-C01
Exam Name: SnowPro Advanced: Data Analyst Certification Exam
Exam Questions: 67
Last Updated: Jun 24, 2026
Corresponding Certification: SnowPro Advanced

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Snowflake DAA-C01 Exam Syllabus Topics:

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


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