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Snowflake DEA-C01 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Pipelines and Transformation- ETL/ELT design patterns in Snowflake
  • 1. Staging and transformation layers
    • 2. Data orchestration concepts
      - Streams and Tasks
      • 1. Automating pipelines with Tasks
        • 2. Change Data Capture (CDC) with Streams
          Topic 2: Security, Governance, and Data Sharing- Access control
          • 1. Role-based access control (RBAC)
            • 2. Object-level permissions
              - Data governance
              • 1. Data masking policies
                • 2. Secure data sharing concepts
                  Topic 3: Data Loading and Integration- Snowpipe and continuous ingestion
                  • 1. Automated ingestion workflows
                    • 2. Event-driven loading
                      - Bulk data loading
                      • 1. COPY INTO command usage
                        • 2. File format handling
                          Topic 4: Semi-Structured and Advanced Data Handling- Semi-structured data processing
                          • 1. VARIANT data type usage
                            • 2. JSON, Avro, Parquet handling
                              - Advanced transformation techniques
                              • 1. Complex transformations in SQL
                                • 2. Flattening nested data
                                  Topic 5: Performance Optimization- Query performance tuning
                                  • 1. Caching mechanisms
                                    • 2. Clustering and micro-partitions
                                      - Warehouse optimization
                                      • 1. Scaling strategies
                                        • 2. Concurrency management
                                          Topic 6: Data Engineering Fundamentals on Snowflake- Data ingestion concepts
                                          • 1. Continuous ingestion concepts
                                            • 2. Batch loading strategies
                                              - Snowflake architecture for data engineering
                                              • 1. Virtual warehouses and compute scaling
                                                • 2. Storage and compute separation

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                                                  Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q23-Q28):

                                                  NEW QUESTION # 23
                                                  Assuming a Data Engineer has all appropriate privileges and context which statements would be used to assess whether the User-Defined Function (UDF), MTBATA3ASZ. SALES .REVENUE_BY_REGION, exists and is secure? (Select TWO)