Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781804619780
Length 274 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Saba Shah Saba Shah
Author Profile Icon Saba Shah
Saba Shah
Arrow right icon
View More author details
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:

Which statement does not accurately describe a feature of the Spark driver?

  1. The Spark driver serves as the node where the main method of a Spark application runs to co-ordinate the application
  2. The Spark driver can be horizontally scaled to enhance overall processing throughput
  3. The Spark driver houses the SparkContext object
  4. The Spark driver is tasked with scheduling the execution of data by using different worker nodes in cluster mode
  5. Optimal performance dictates that the Spark driver should be positioned as close as possible to worker nodes

Question 2:

Which of these statements accurately describes stages?

  1. Tasks within a stage can be simultaneously executed by multiple machines
  2. Various stages within a job can run concurrently
  3. Stages comprise one or more jobs
  4. Stages temporarily store transactions before committing them through...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image