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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting and Tuning | 8% | - Performance optimization - Query plans and execution analysis |
| Topic 2: Structured Streaming | 8% | - Streaming concepts and operations - Output modes and triggers |
| Topic 3: Apache Spark Architecture and Components | 28% | - Spark execution model and hierarchy - Fault tolerance and shuffle operations - Lazy evaluation, transformations vs actions - Driver and executor architecture |
| Topic 4: Using Spark SQL | 12% | - Supported file formats and data sources - Working with views and tables - Querying data with Spark SQL |
| Topic 5: Developing DataFrame API Applications | 44% | - Filtering, sorting, aggregation - Column and row manipulation - User-defined functions (UDFs) - Reading/writing data and partitioning - Handling missing data and duplicates |
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