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