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Databricks Associate Developer Apache Spark Exam
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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 |
|---|---|---|
| Topic 1: Apache Spark Architecture and Components | 28% | - Lazy evaluation, transformations vs actions - Spark execution model and hierarchy - Fault tolerance and shuffle operations - Driver and executor architecture |
| Topic 2: Troubleshooting and Tuning | 8% | - Performance optimization - Query plans and execution analysis |
| Topic 3: Structured Streaming | 8% | - Output modes and triggers - Streaming concepts and operations |
| Topic 4: Developing DataFrame API Applications | 44% | - Reading/writing data and partitioning - User-defined functions (UDFs) - Column and row manipulation - Handling missing data and duplicates - Filtering, sorting, aggregation |
| Topic 5: Using Spark SQL | 12% | - Querying data with Spark SQL - Working with views and tables - Supported file formats and data sources |
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