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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 |
|---|---|---|
| Topic 1: Apache Spark Architecture and Components | 20% | - Driver and Executor Roles - Partitioning and Fault Tolerance - Cluster Mode and Execution Hierarchy |
| Topic 2: DataFrame and Dataset API Applications | 30% | - Column Selection and Manipulation - Joins and Transformations - Filtering, Sorting and Aggregation |
| Topic 3: Troubleshooting and Tuning | 10% | - Spark UI and Bottlenecks - Caching and Shuffle Optimization - Debugging Spark Applications |
| Topic 4: Structured Streaming | 10% | - Stateful Processing Basics - Watermarks and Triggers - Streaming Concepts |
| Topic 5: Using Spark Connect and Pandas API on Spark | 10% | - Remote Connectivity - Pandas API Integration |
| Topic 6: Using Spark SQL | 20% | - Performance Optimization - Window Functions - SQL Queries and Operations |
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