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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Certification Topics of Databricks Associate Developer Apache Spark Exam?
Then, Spark Architecture: Applied understanding (11%)
To begin with, Spark Architecture: Conceptual understanding (17%)
Lastly, Spark DataFrame API Applications (72%)
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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Spark Connect and Pandas API on Spark | 10% | - Remote Connectivity - Pandas API Integration |
| Topic 2: Apache Spark Architecture and Components | 20% | - Driver and Executor Roles - Partitioning and Fault Tolerance - Cluster Mode and Execution Hierarchy |
| Topic 3: DataFrame and Dataset API Applications | 30% | - Filtering, Sorting and Aggregation - Column Selection and Manipulation - Joins and Transformations |
| Topic 4: Using Spark SQL | 20% | - Performance Optimization - SQL Queries and Operations - Window Functions |
| Topic 5: Structured Streaming | 10% | - Watermarks and Triggers - Stateful Processing Basics - Streaming Concepts |
| Topic 6: Troubleshooting and Tuning | 10% | - Debugging Spark Applications - Caching and Shuffle Optimization - Spark UI and Bottlenecks |



