Databricks Associate-Developer-Apache-Spark Exam Questions : Databricks Certified Associate Developer for Apache Spark 3.0 Exam

  • Exam Code: Associate-Developer-Apache-Spark
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0 Exam
  • Updated: Jul 31, 2026
  • Q&As: 179 Questions and Answers

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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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Certification Topics of Databricks Associate Developer Apache Spark Exam?

  • To begin with, Spark Architecture: Conceptual understanding (17%)

  • Then, Spark Architecture: Applied understanding (11%)

  • Lastly, Spark DataFrame API Applications (72%)

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

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

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