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