Last Updated: Jul 17, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apache Spark Architecture and Components | 28% | - Lazy evaluation, transformations vs actions - Spark execution model and hierarchy - Driver and executor architecture - Fault tolerance and shuffle operations |
| Topic 2: Developing DataFrame API Applications | 44% | - Handling missing data and duplicates - Column and row manipulation - Reading/writing data and partitioning - Filtering, sorting, aggregation - User-defined functions (UDFs) |
| Topic 3: Troubleshooting and Tuning | 8% | - Performance optimization - Query plans and execution analysis |
| Topic 4: Structured Streaming | 8% | - Output modes and triggers - Streaming concepts and operations |
| Topic 5: Using Spark SQL | 12% | - Querying data with Spark SQL - Working with views and tables - Supported file formats and data sources |
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