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



