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