Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0 Exam
Certification Provider: Databricks
Corresponding Certification: Databricks Certification
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Databricks Associate Developer Apache Spark Exam
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How to become Databricks Associate Developer Apache Spark certified
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.
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.
Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Structured Streaming | 10% | - Streaming Concepts - Stateful Processing Basics - Watermarks and Triggers |
| Using Spark Connect and Pandas API on Spark | 10% | - Remote Connectivity - Pandas API Integration |
| DataFrame and Dataset API Applications | 30% | - Filtering, Sorting and Aggregation - Column Selection and Manipulation - Joins and Transformations |
| Apache Spark Architecture and Components | 20% | - Driver and Executor Roles - Partitioning and Fault Tolerance - Cluster Mode and Execution Hierarchy |
| Troubleshooting and Tuning | 10% | - Caching and Shuffle Optimization - Debugging Spark Applications - Spark UI and Bottlenecks |
| Using Spark SQL | 20% | - Window Functions - SQL Queries and Operations - Performance Optimization |
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