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Certification Topics of Databricks Associate Developer Apache Spark Exam?
Then, Spark Architecture: Applied understanding (11%)
To begin with, Spark Architecture: Conceptual understanding (17%)
Lastly, Spark DataFrame API Applications (72%)
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For more info read the reference:
Databricks Associate Developer Apache Spark Exam
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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Using Spark SQL | 20% | - Performance Optimization - SQL Queries and Operations - Window Functions |
| Structured Streaming | 10% | - Stateful Processing Basics - Watermarks and Triggers - Streaming Concepts |
| Apache Spark Architecture and Components | 20% | - Driver and Executor Roles - Partitioning and Fault Tolerance - Cluster Mode and Execution Hierarchy |
| Troubleshooting and Tuning | 10% | - Caching and Shuffle Optimization - Debugging Spark Applications - Spark UI and Bottlenecks |
| Using Spark Connect and Pandas API on Spark | 10% | - Pandas API Integration - Remote Connectivity |
| DataFrame and Dataset API Applications | 30% | - Joins and Transformations - Filtering, Sorting and Aggregation - Column Selection and Manipulation |
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