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Exam Code: Associate-Developer-Apache-Spark
Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0 Exam
Updated: Aug 26, 2026
Q & A: 179 Questions and Answers
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Apache Spark is a powerful open source data processing engine that provides a unified platform for data analytics, machine learning, and streaming applications. Spark is used to process massive datasets to find patterns and trends in the data, as well as perform data transformations, analyses, and visualizations. The big data industry is growing rapidly, and companies of all sizes are increasingly adopting Spark to analyze their large datasets. In this article, we will discuss about Databricks Associate Developer Apache Spark Exam and how it can help you to become an expert in the world of Big Data.
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Databricks Associate Developer Apache Spark Exam
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Spark SQL | 12% | - Querying data with Spark SQL - Working with views and tables - Supported file formats and data sources |
| Topic 2: Developing DataFrame API Applications | 44% | - Reading/writing data and partitioning - Filtering, sorting, aggregation - User-defined functions (UDFs) - Column and row manipulation - Handling missing data and duplicates |
| Topic 3: Structured Streaming | 8% | - Streaming concepts and operations - Output modes and triggers |
| Topic 4: Troubleshooting and Tuning | 8% | - Query plans and execution analysis - Performance optimization |
| Topic 5: Apache Spark Architecture and Components | 28% | - Fault tolerance and shuffle operations - Spark execution model and hierarchy - Lazy evaluation, transformations vs actions - Driver and executor architecture |
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