Last Updated: Aug 17, 2026
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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.
| Section | Weight | Objectives |
|---|---|---|
| Apache Spark Architecture and Components | 20% | - Cluster Mode and Execution Hierarchy - Partitioning and Fault Tolerance - Driver and Executor Roles |
| Troubleshooting and Tuning | 10% | - Spark UI and Bottlenecks - Caching and Shuffle Optimization - Debugging Spark Applications |
| Using Spark SQL | 20% | - SQL Queries and Operations - Window Functions - Performance Optimization |
| DataFrame and Dataset API Applications | 30% | - Joins and Transformations - Column Selection and Manipulation - Filtering, Sorting and Aggregation |
| Using Spark Connect and Pandas API on Spark | 10% | - Remote Connectivity - Pandas API Integration |
| Structured Streaming | 10% | - Streaming Concepts - Stateful Processing Basics - Watermarks and Triggers |
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