Databricks Certified Associate Developer for Apache Spark 3.0 Exam: Associate-Developer-Apache-Spark Exam

"Databricks Certified Associate Developer for Apache Spark 3.0 Exam", also known as Associate-Developer-Apache-Spark exam, is a Databricks Certification. With the complete collection of questions and answers, iPassleader has assembled to take you through 179 Q&As to your Associate-Developer-Apache-Spark Exam preparation. In the Associate-Developer-Apache-Spark exam resources, you will cover every field and category in Databricks Certification Certification helping to ready you for your successful Databricks Certification.

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  • Updated on: Jul 19, 2026
  • No. of Questions: 179 Questions & Answers

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  • Updated on: Jul 19, 2026
  • No. of Questions: 179 Questions & Answers

Exam Format and Content

  • Language: This exam is only available in the Python or Scala language.

  • Exam Length: 60 questions

  • Exam Duration: 120 minutes

  • Passing score: 70%

  • Exam Format: Multiple choice questions

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What is the salary of a Databricks Associate Developer Apache Spark Exam?

The Average salary of different countries for Databricks Associate Developer Apache Spark professionals:

  • India - INR 3516457 per year

  • UK - Pounds 33288 per year

  • United States - USD 84,000 per year

Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:

SectionObjectives
Spark SQL- SQL queries in Spark
  • 1. query optimization basics
    • 2. views and tables
      Spark DataFrame API- DataFrame operations
      • 1. joins and aggregations
        • 2. select, filter, withColumn
          Data Ingestion and Storage Formats- Reading and writing data
          • 1. schema inference and enforcement
            • 2. Parquet, JSON, CSV
              Performance and Optimization Basics- Optimization concepts
              • 1. partitioning and shuffling
                • 2. caching and persistence
                  Transformations and Actions- Core RDD/DataFrame operations
                  • 1. actions vs transformations
                    • 2. lazy evaluation
                      Apache Spark Architecture and Fundamentals- Spark architecture overview
                      • 1. Driver, Executors, Cluster Manager
                        • 2. Job execution model

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