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What is the Databricks Associate Developer Apache Spark Exam?

The Databricks Associate Developer Apache Spark Exam is a certification that can be earned by anyone who has successfully completed the Databricks Associate Developer Apache Spark Certification Training. The exam covers all the material that was covered in the training. The exam is designed to test your knowledge of the concepts, skills, and abilities that you learned during the course.

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

SectionObjectives
Topic 1: Apache Spark Architecture and Fundamentals- Spark architecture overview
  • 1. Job execution model
    • 2. Driver, Executors, Cluster Manager
      Topic 2: Transformations and Actions- Core RDD/DataFrame operations
      • 1. lazy evaluation
        • 2. actions vs transformations
          Topic 3: Performance and Optimization Basics- Optimization concepts
          • 1. caching and persistence
            • 2. partitioning and shuffling
              Topic 4: Spark SQL- SQL queries in Spark
              • 1. views and tables
                • 2. query optimization basics
                  Topic 5: Data Ingestion and Storage Formats- Reading and writing data
                  • 1. schema inference and enforcement
                    • 2. Parquet, JSON, CSV
                      Topic 6: Spark DataFrame API- DataFrame operations
                      • 1. joins and aggregations
                        • 2. select, filter, withColumn

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