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Exam Specification:

- Exam Name: SnowPro Advanced Data Engineer Certification (DEA-C01)
- Exam Code: DEA-C01
- Exam Duration: 180 minutes
- Exam Format: Multiple-choice and multiple-select questions

Course Outline:

1. Snowflake Architecture and Core Concepts
- Understanding the Snowflake architecture and its components
- Exploring Snowflake's compute, storage, and services layers
- Understanding Snowflake's data sharing and security features

2. Data Ingestion and Transformation
- Ingesting data into Snowflake from various sources
- Implementing efficient data transformation processes
- Utilizing Snowflake's features for data loading and transformation

3. Data Integration and ETL/ELT
- Integrating data from different systems and platforms
- Designing and implementing complex ETL/ELT workflows
- Utilizing Snowflake's data integration capabilities

4. Advanced SQL and Query Optimization
- Writing advanced SQL queries for data analysis and manipulation
- Optimizing queries for performance and cost efficiency
- Understanding Snowflake's query execution and optimization features

5. Data Warehousing and Performance Tuning
- Designing and managing data warehouses in Snowflake
- Implementing performance tuning techniques for data processing
- Utilizing Snowflake's features for workload management and resource optimization

6. Data Security and Governance
- Implementing data security measures in Snowflake
- Ensuring data privacy, access control, and compliance
- Implementing data governance and data lifecycle management processes

7. Data Analytics and Visualization
- Performing advanced analytics using Snowflake's analytic functions
- Integrating Snowflake with data visualization tools
- Creating meaningful visualizations and reports from Snowflake data

Exam Objectives:

1. Demonstrate a comprehensive understanding of Snowflake architecture and core concepts.
2. Ingest and transform data from various sources into Snowflake.
3. Design and implement complex data integration and ETL/ELT workflows.
4. Write advanced SQL queries and optimize query performance in Snowflake.
5. Design and optimize data warehousing solutions in Snowflake.
6. Implement data security measures and ensure compliance in Snowflake.
7. Perform advanced data analytics and visualization using Snowflake.

Exam Syllabus:

The exam syllabus covers the following topics (but is not limited to):

- Snowflake Architecture and Core Concepts
- Data Ingestion and Transformation
- Data Integration and ETL/ELT
- Advanced SQL and Query Optimization
- Data Warehousing and Performance Tuning
- Data Security and Governance
- Data Analytics and Visualization

SnowFlake DEA-C01 education