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Prerequisites for the Databricks Associate Developer Apache Spark Exam?

  • If you have a basic understanding of the architecture, you can use adaptive query execution.
  • You need to be able to complete the individual data manipulation task with the help of the Spark DataFrameAPI.

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

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

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