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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Developing DataFrame API Applications | 44% | - Reading/writing data and partitioning - Column and row manipulation - User-defined functions (UDFs) - Filtering, sorting, aggregation - Handling missing data and duplicates |
| Topic 2: Troubleshooting and Tuning | 8% | - Query plans and execution analysis - Performance optimization |
| 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: Structured Streaming | 8% | - Streaming concepts and operations - Output modes and triggers |
| Topic 5: Using Spark SQL | 12% | - Supported file formats and data sources - Working with views and tables - Querying data with Spark SQL |







