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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Spark Connect and Pandas API on Spark | 10% | - Pandas API Integration - Remote Connectivity |
| Topic 2: Using Spark SQL | 20% | - Performance Optimization - Window Functions - SQL Queries and Operations |
| Topic 3: Structured Streaming | 10% | - Stateful Processing Basics - Streaming Concepts - Watermarks and Triggers |
| Topic 4: Troubleshooting and Tuning | 10% | - Debugging Spark Applications - Spark UI and Bottlenecks - Caching and Shuffle Optimization |
| Topic 5: Apache Spark Architecture and Components | 20% | - Driver and Executor Roles - Cluster Mode and Execution Hierarchy - Partitioning and Fault Tolerance |
| Topic 6: DataFrame and Dataset API Applications | 30% | - Column Selection and Manipulation - Filtering, Sorting and Aggregation - Joins and Transformations |
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