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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: DataFrame and Dataset API Applications30%- Joins and Transformations
- Filtering, Sorting and Aggregation
- Column Selection and Manipulation
Topic 2: Troubleshooting and Tuning10%- Spark UI and Bottlenecks
- Debugging Spark Applications
- Caching and Shuffle Optimization
Topic 3: Apache Spark Architecture and Components20%- Cluster Mode and Execution Hierarchy
- Driver and Executor Roles
- Partitioning and Fault Tolerance
Topic 4: Using Spark Connect and Pandas API on Spark10%- Pandas API Integration
- Remote Connectivity
Topic 5: Using Spark SQL20%- SQL Queries and Operations
- Performance Optimization
- Window Functions
Topic 6: Structured Streaming10%- Streaming Concepts
- Stateful Processing Basics
- Watermarks and Triggers

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