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