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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.
Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting and Tuning | 8% | - Query plans and execution analysis - Performance optimization |
| Topic 2: Structured Streaming | 8% | - Streaming concepts and operations - Output modes and triggers |
| Topic 3: Developing DataFrame API Applications | 44% | - User-defined functions (UDFs) - Column and row manipulation - Handling missing data and duplicates - Reading/writing data and partitioning - Filtering, sorting, aggregation |
| Topic 4: Apache Spark Architecture and Components | 28% | - Lazy evaluation, transformations vs actions - Spark execution model and hierarchy - Fault tolerance and shuffle operations - Driver and executor architecture |
| Topic 5: Using Spark SQL | 12% | - Working with views and tables - Supported file formats and data sources - Querying data with Spark SQL |




