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Snowflake DEA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Data Transformation20-25%- Streams and Tasks
  • 1. Change Data Capture (CDC) with streams
  • 2. Serverless task warehouse configuration
  • 3. Scheduled and event-based task execution
  • 4. Task graph design and dependencies
- Data Processing Patterns
  • 1. Zero Copy Cloning for data provisioning
  • 2. ELT vs ETL approaches in Snowflake
  • 3. Time Travel for historical data access
- SQL-Based Transformations
  • 1. Merge, update, and delete operations
  • 2. Complex JOIN operations and optimizations
  • 3. Window functions for advanced analytics
  • 4. Data type conversions and casting
Performance Engineering10-15%- Warehouse Management
  • 1. Resource monitors and cost control
  • 2. Multi-cluster warehouse configuration
  • 3. Auto-suspend and auto-resume settings
- Query Optimization
  • 1. Predicate pushdown optimization
  • 2. Query rewrite and optimization techniques
  • 3. Join elimination and simplification
Data Storage and Retrieval15-20%- Performance Optimization
  • 1. Warehouse scaling policies
  • 2. Result set caching
  • 3. Materialized views and cached results
  • 4. Query profiling and execution plans
- Snowflake Architecture
  • 1. Clustering strategies and key selection
  • 2. Table types (permanent, transient, temporary)
  • 3. Hybrid and Hyper tables
  • 4. Micro-partitioning concepts
Data Ingestion15-20%- Bulk Data Loading
  • 1. File format considerations (CSV, JSON, Parquet, Avro)
  • 2. COPY INTO command options and best practices
  • 3. Staging configurations (internal and external stages)
  • 4. Data loading error handling and validation
- Continuous Data Ingestion
  • 1. Serverless compute for Snowpipe
  • 2. Snowpipe configuration and usage
  • 3. Real-time data ingestion patterns
Advanced Snowflake Features10-15%- External Integrations
  • 1. External functions and UDFs
  • 2. Snowflake Connector for Python/Java
  • 3. Partner integrations (Spark, Kafka, etc.)
- Data Lakes
  • 1. External tables and Iceberg support
  • 2. Querying semi-structured data (VARIANT, ARRAY, OBJECT)
  • 3. Snowflake as a Data Lake
- Data Sharing
  • 1. Reader accounts
  • 2. Secure share creation and management
  • 3. Direct sharing vs Data Marketplace
Data Governance and Security15-20%- Access Control
  • 1. Role-based access control (RBAC)
  • 2. Row-level and column-level security
  • 3. GRANT and REVOKE operations
  • 4. Role hierarchy and ownership
- Compliance and Monitoring
  • 1. Tag-based policies
  • 2. Access history and audit trails
  • 3. Data classification
- Data Protection
  • 1. Data re-identification risks
  • 2. External tokenization
  • 3. Secure data sharing across accounts
  • 4. Data masking and tokenization

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q51-Q56):

NEW QUESTION # 51
A company stores customer records in Amazon S3. The company must not delete or modify the customer record data for 7 years after each record is created. The root user also must not have the ability to delete or modify the data.
A data engineer wants to use S3 Object Lock to secure the data.
Which solution will meet these requirements?

Answer: B

Explanation:
Compliance Mode is the stricter mode of S3 Object Lock. When enabled, it ensures that no one, not even the root user, can modify or delete the object until the retention period expires. In this case, to meet the requirement of preventing any deletion or modification of the data for 7 years, compliance mode is the correct choice.
Governance Mode allows some users with special permissions (such as the root user) to override the lock and delete or modify the data, which does not meet the strict requirement that even the root user should not have this ability.
Legal Hold is used to prevent deletion of objects without specifying a time-based retention period, but it can be removed by users with sufficient permissions, and the root user might still be able to delete the data.
Retention Period for Individual Objects is possible, but enabling compliance mode provides a more robust solution by applying the same 7-year retention policy bucket-wide, ensuring that no modifications or deletions can occur during that period.


NEW QUESTION # 52
A company uses Amazon Athena for one-time queries against data that is in Amazon S3. The company has several use cases. The company must implement permission controls to separate query processes and access to query history among users, teams, and applications that are in the same AWS account.
Which solution will meet these requirements?

Answer: D

Explanation:
https://docs.aws.amazon.com/athena/latest/ug/user-created-workgroups.html


NEW QUESTION # 53
Which UDF programming language is not supported with Snowflake Secure Data Sharing feature?

Answer: A


NEW QUESTION # 54
Snowflake does not treat the inner transaction as nested; instead, the inner transaction is a separate transaction.
What is term used to call these Transaction?

Answer: A


NEW QUESTION # 55
Which Snowflake feature facilitates access to external API services such as geocoders. data transformation, machine Learning models and other custom code?

Answer: C

Explanation:
Explanation
External functions are Snowflake functions that facilitate access to external API services such as geocoders, data transformation, machine learning models and other custom code. External functions allow users to invoke external services from within SQL queries and pass arguments and receive results as JSON values. External functions require creating an API integration object and an external function object in Snowflake, as well as deploying an external service endpoint that can communicate with Snowflake via HTTPS.


NEW QUESTION # 56
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