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

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Exam Code: Associate-Developer-Apache-Spark

Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0 Exam

Updated: Aug 29, 2026

Q & A: 179 Questions and Answers

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How to become Databricks Associate Developer Apache Spark certified
  • To create applications that run on the Databricks platform. You'll learn how to use the Spark shell to interact with the data stored in Databricks, the Databricks DataFrame API, and the Databricks Query Language (DQL). You'll also gain exposure to a variety of machine learning and data mining algorithms that can be used to solve real-world problems.

  • The Databricks Associate Developer Apache Spark certification is a great opportunity to get hands-on experience with the most popular big data platform. It's a two-day certification course that teaches you how to use the latest version of Apache Spark. Databricks Associate Developer Apache Spark exam dumps are the key of success.

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Exam Format and Content
  • Exam Duration: 120 minutes

  • Language: This exam is only available in the Python or Scala language.

  • Exam Length: 60 questions

  • Exam Format: Multiple choice questions

  • Passing score: 70%

For more info read the reference:

Databricks Associate Developer Apache Spark Exam

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