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Databricks Certified Associate Developer for Apache Spark Certification

The Practice Tests for the Databricks Certified Associate Developer for Apache Spark 3.0 Exam will help you upskill your ability to apply the Spark DataFrame API to complete basic data manipulation tasks within a Spark session
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The Databricks Certified Associate Developer for Apache Spark 3.0 exam requires an understanding of the Spark DataFrame API and the ability to apply the Spark DataFrame API to complete basic data manipulation tasks within a Spark session. These tasks include selecting, renaming and manipulating columns; filtering, dropping, sorting, and aggregating rows; handling missing data; combining, reading, writing and partitioning DataFrames with schemas; and working with UDFs and Spark SQL functions. In addition, the exam will assess the basics of the Spark architecture like execution/deployment modes, the execution hierarchy, fault tolerance, garbage collection, and broadcasting.

The practice tests cover the same topics in the exact percentages as the real exam, making sure you’ll get that badge as soon as possible.

  • Apache Spark Architecture Concepts – 17% (10/60)
  • Apache Spark Architecture Applications – 11% (7/60)
  • Apache Spark DataFrame API Applications – 72% (43/60)
  • Unlimited Practice Tests
  • Each Practice Test consists of 45 questions split percentage-wise by topic and then randomly generated
  • View the correct answers with their corresponding explanations