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Databricks Associate Developer Apache Spark Exam
Prerequisites for the Databricks Associate Developer Apache Spark Exam?
- You need to be able to complete the individual data manipulation task with the help of the Spark DataFrameAPI.
- If you have a basic understanding of the architecture, you can use adaptive query execution.
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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Structured Streaming | 10% | - Streaming Concepts - Stateful Processing Basics - Watermarks and Triggers |
| DataFrame and Dataset API Applications | 30% | - Joins and Transformations - Filtering, Sorting and Aggregation - Column Selection and Manipulation |
| Apache Spark Architecture and Components | 20% | - Driver and Executor Roles - Partitioning and Fault Tolerance - Cluster Mode and Execution Hierarchy |
| Using Spark Connect and Pandas API on Spark | 10% | - Pandas API Integration - Remote Connectivity |
| Troubleshooting and Tuning | 10% | - Spark UI and Bottlenecks - Caching and Shuffle Optimization - Debugging Spark Applications |
| Using Spark SQL | 20% | - Window Functions - SQL Queries and Operations - Performance Optimization |
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