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