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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Spark SQL | 20% | - SQL Queries and Operations - Window Functions - Performance Optimization |
| Topic 2: Structured Streaming | 10% | - Streaming Concepts - Watermarks and Triggers - Stateful Processing Basics |
| Topic 3: Using Spark Connect and Pandas API on Spark | 10% | - Remote Connectivity - Pandas API Integration |
| Topic 4: Troubleshooting and Tuning | 10% | - Caching and Shuffle Optimization - Spark UI and Bottlenecks - Debugging Spark Applications |
| Topic 5: Apache Spark Architecture and Components | 20% | - Driver and Executor Roles - Partitioning and Fault Tolerance - Cluster Mode and Execution Hierarchy |
| Topic 6: DataFrame and Dataset API Applications | 30% | - Joins and Transformations - Column Selection and Manipulation - Filtering, Sorting and Aggregation |
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