Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0 Exam
Certification Provider: Databricks
Corresponding Certification: Databricks Certification
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Updated: Sep 12, 2026
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Prerequisites for the Databricks Associate Developer Apache Spark Exam?
- If you have a basic understanding of the architecture, you can use adaptive query execution.
- You need to be able to complete the individual data manipulation task with the help of the Spark DataFrameAPI.
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Exam Format and Content
Language: This exam is only available in the Python or Scala language.
Exam Length: 60 questions
Exam Duration: 120 minutes
Exam Format: Multiple choice questions
Passing score: 70%
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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Using Spark SQL | 12% | - Querying data with Spark SQL - Supported file formats and data sources - Working with views and tables |
| Troubleshooting and Tuning | 8% | - Performance optimization - Query plans and execution analysis |
| Structured Streaming | 8% | - Output modes and triggers - Streaming concepts and operations |
| Developing DataFrame API Applications | 44% | - Handling missing data and duplicates - Filtering, sorting, aggregation - Reading/writing data and partitioning - Column and row manipulation - User-defined functions (UDFs) |
| Apache Spark Architecture and Components | 28% | - Driver and executor architecture - Lazy evaluation, transformations vs actions - Spark execution model and hierarchy - Fault tolerance and shuffle operations |
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