Snowflake DAA-C01 Exam Information and Actual Questions

  • Exam Code/Number: DAA-C01
  • Exam Name/Title: SnowPro Advanced: Data Analyst Certification Exam
  • Certification Provider: Snowflake
  • Corresponding Certification: SnowPro Advanced
  • Exam Questions: 67
  • Updated On: Jul 03, 2026

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

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Snowflake DAA-C01 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Data Analyst Certification Exam (DAA-C01)
Exam Number:DAA-C01
Available Languages:English
Certificate Validity Period:2 years
Exam Format:Multiple choice, Multiple select, Scenario-based questions
Related Certifications:SnowPro Core Certification
Sample Questions:Snowflake DAA-C01 Sample Questions
Exam Way:Online proctored or test center (varies by provider)
Pre Condition:Recommended: SnowPro Core Certification or equivalent Snowflake experience
Official Syllabus URL:https://www.snowflake.com/certifications/

Snowflake DAA-C01 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Modeling and Performance Optimization- Performance tuning
  • 1. Warehouse sizing and auto-suspend/auto-resume
    • 2. Clustering and pruning techniques
      - Modeling approaches in Snowflake
      • 1. Star and snowflake schemas
        • 2. Data normalization vs denormalization
          Topic 2: Security, Governance, and Data Sharing- Data sharing and governance
          • 1. Secure data sharing
            • 2. Data masking and policies
              - Access control and security
              • 1. Role-based access control (RBAC)
                • 2. Authentication and encryption concepts
                  Topic 3: Snowflake Architecture and Data Platform Fundamentals- Data platform fundamentals
                  • 1. Separation of storage and compute
                    • 2. Data lifecycle in Snowflake
                      - Snowflake architecture concepts
                      • 1. Cloud services layer, compute layer, storage layer
                        • 2. Virtual warehouses and scaling
                          Topic 4: Data Transformation and Analysis- SQL-based transformations
                          • 1. Semi-structured data (VARIANT, JSON, XML)
                            • 2. Joins, aggregations, window functions
                              - Analytical workloads
                              • 1. Materialized views and caching
                                • 2. Query optimization for analytics
                                  Topic 5: Data Loading and Unloading- Data ingestion methods
                                  • 1. COPY INTO and bulk loading
                                    • 2. Continuous ingestion and Snowpipe concepts
                                      - Data export
                                      • 1. UNLOAD and external stages


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