Snowflake DEA-C01 Exam Details & Actual Exam Questions

  • Exam Code/Number: DEA-C01
  • Exam Name/Title: SnowPro Advanced: Data Engineer Certification Exam
  • Certification Provider: Snowflake
  • Corresponding Certification: SnowPro Advanced
  • Exam Questions: 387
  • Updated On: Aug,12 2026
  • Certification Level: Advanced

Snowflake SnowPro Advanced: Data Engineer Certification Exam Questions

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Snowflake DEA-C01 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Data Engineer Certification Exam
Exam Number:DEA-C01
Exam Duration:115 minutes
Related Certifications:SnowPro Core Certification
Available Languages:English
Certificate Validity Period:2 years
Real Exam Qty:Approximately 65 questions
Exam Format:Multiple choice, Multiple select, Scenario-based questions
Exam Price:$375 USD
Passing Score:Not publicly disclosed (Snowflake uses scaled scoring)
Recommended Training:Snowflake University Training
SnowPro Advanced Data Engineer Exam Guide
Exam Registration:Snowflake Certification Portal
Sample Questions:Snowflake DEA-C01 Sample Questions
Exam Way:Online proctored or authorized testing center
Pre Condition:Recommended: SnowPro Core Certification or equivalent Snowflake experience
Official Syllabus URL:https://www.snowflake.com/certifications/snowpro-advanced-data-engineer/

Snowflake DEA-C01 Exam Syllabus Topics:

SectionObjectives
Data Engineering Fundamentals on Snowflake- Snowflake architecture for data engineering
  • 1. Storage and compute separation
    • 2. Virtual warehouses and compute scaling
      - Data ingestion concepts
      • 1. Continuous ingestion concepts
        • 2. Batch loading strategies
          Data Pipelines and Transformation- ETL/ELT design patterns in Snowflake
          • 1. Staging and transformation layers
            • 2. Data orchestration concepts
              - Streams and Tasks
              • 1. Change Data Capture (CDC) with Streams
                • 2. Automating pipelines with Tasks
                  Performance Optimization- Query performance tuning
                  • 1. Clustering and micro-partitions
                    • 2. Caching mechanisms
                      - Warehouse optimization
                      • 1. Scaling strategies
                        • 2. Concurrency management
                          Security, Governance, and Data Sharing- Data governance
                          • 1. Data masking policies
                            • 2. Secure data sharing concepts
                              - Access control
                              • 1. Role-based access control (RBAC)
                                • 2. Object-level permissions
                                  Data Loading and Integration- Snowpipe and continuous ingestion
                                  • 1. Event-driven loading
                                    • 2. Automated ingestion workflows
                                      - Bulk data loading
                                      • 1. COPY INTO command usage
                                        • 2. File format handling
                                          Semi-Structured and Advanced Data Handling- Semi-structured data processing
                                          • 1. JSON, Avro, Parquet handling
                                            • 2. VARIANT data type usage
                                              - Advanced transformation techniques
                                              • 1. Complex transformations in SQL
                                                • 2. Flattening nested data


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