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