Last Updated: Oct 04, 2026
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Exam Duration: 120 minutes
Exam Format: Multiple choice questions
Exam Length: 60 questions
Passing score: 70%
Language: This exam is only available in the Python or Scala language.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Spark SQL | 12% | - Supported file formats and data sources - Querying data with Spark SQL - Working with views and tables |
| Topic 2: Troubleshooting and Tuning | 8% | - Query plans and execution analysis - Performance optimization |
| Topic 3: Developing DataFrame API Applications | 44% | - Handling missing data and duplicates - User-defined functions (UDFs) - Column and row manipulation - Filtering, sorting, aggregation - Reading/writing data and partitioning |
| Topic 4: Apache Spark Architecture and Components | 28% | - Lazy evaluation, transformations vs actions - Driver and executor architecture - Spark execution model and hierarchy - Fault tolerance and shuffle operations |
| Topic 5: Structured Streaming | 8% | - Output modes and triggers - Streaming concepts and operations |
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