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Databricks Certified Associate Developer for Apache Spark Using Python

You're reading from   Databricks Certified Associate Developer for Apache Spark Using Python The ultimate guide to getting certified in Apache Spark using practical examples with Python

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781804619780
Length 274 pages
Edition 1st Edition
Languages
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Author (1):
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Saba Shah Saba Shah
Author Profile Icon Saba Shah
Saba Shah
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Exam Overview
2. Chapter 1: Overview of the Certification Guide and Exam FREE CHAPTER 3. Part 2: Introducing Spark
4. Chapter 2: Understanding Apache Spark and Its Applications 5. Chapter 3: Spark Architecture and Transformations 6. Part 3: Spark Operations
7. Chapter 4: Spark DataFrames and their Operations 8. Chapter 5: Advanced Operations and Optimizations in Spark 9. Chapter 6: SQL Queries in Spark 10. Part 4: Spark Applications
11. Chapter 7: Structured Streaming in Spark 12. Chapter 8: Machine Learning with Spark ML 13. Part 5: Mock Papers
14. Chapter 9: Mock Test 1
15. Chapter 10: Mock Test 2
16. Index 17. Other Books You May Enjoy

Questions

Try your hand at these practice questions to test your knowledge of Apache Spark:

Question 1:

What is a task in Spark?

  1. The unit of work performed for each data partition within a task is the slots
  2. A task is the second-smallest entity that can be executed within Spark
  3. Tasks featuring wide dependencies can be combined into a single task
  4. A task is the smallest component that can be executed within Spark

Question 2:

What is the role of an executor in Spark?

  1. The executor’s role is to request the transformation of operations into a directed acyclic graph (DAG)
  2. There can only be one executor within a Spark environment
  3. Executors are tasked with executing the assignments provided to them by the driver
  4. The executor schedules queries for execution

Question 3:

Which of the following is one of the tasks of Adaptive Query Execution in Spark?

  1. Adaptive Query Execution collects runtime statistics during query...
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