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Certification Topics of Databricks Associate Developer Apache Spark Exam?
To begin with, Spark Architecture: Conceptual understanding (17%)
Lastly, Spark DataFrame API Applications (72%)
Then, Spark Architecture: Applied understanding (11%)
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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Spark Architecture and Components | 20% | - Partitioning and Fault Tolerance - Driver and Executor Roles - Cluster Mode and Execution Hierarchy |
| Structured Streaming | 10% | - Watermarks and Triggers - Stateful Processing Basics - Streaming Concepts |
| DataFrame and Dataset API Applications | 30% | - Column Selection and Manipulation - Filtering, Sorting and Aggregation - Joins and Transformations |
| Troubleshooting and Tuning | 10% | - Spark UI and Bottlenecks - Caching and Shuffle Optimization - Debugging Spark Applications |
| Using Spark Connect and Pandas API on Spark | 10% | - Remote Connectivity - Pandas API Integration |
| Using Spark SQL | 20% | - Window Functions - Performance Optimization - SQL Queries and Operations |
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