Databricks Certified Apache Spark 3.0 TESTS (Scala & Python)

TWO complete high-quality practice tests up to date of 120 questions in Python and Scala each will help you master your Databricks Certified Associate Developer for Apache Spark exam (not affiliated):

• These practice exams will help you assess and ensure that you are fully prepared for the final examination.

• Any question you might fail will contain an explanation to understand the correct answer

  
  

Although this test was designed for Spark 3.0 you can use it to test your knowledge of Spark 2.3. You have around 5 questions in each test for new functions that are introduced with Spark 3.0.

You will be testing your knowledge on the following topics:

Spark Architecture: Conceptual understanding (~17%):

You should have basic knowledge on the architecture. You need to understand the concepts of slot, driver, executor, stage, node, job etc. and the relations in between.

Adaptive Query Execution (New in Spark 3.0)

Spark Architecture: Applied understanding (~11%):

Scenario-based Cluster configuration

Deployment Modes

Spark DataFrame API Applications (~72%):

Syntax related questions

Coalesce vs repartition

Cache and Persist types

Read and Write parquet/text/JSON file

Data frame Joins

Transformation vs Action

Lazy evaluation

Registering UDF

Broadcast

Spark SQL

Partition number

Garbage Collection

You will also have access to topics that our students had on their exam on "Featured Questions" page !

Are you ready to assess yourself and practice the Databricks Certified Associate Developer for Apache Spark 3.0 exam?

See you in the course!

Note: these are not exam dumps. The questions main goal is to assess your Apache Spark 3.0 knowledge.