You're reading from The Self-Taught Cloud Computing Engineer A comprehensive professional study guide to AWS, Azure, and GCP

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781805123705

Length 472 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Author (1):

Dr. Logan Song

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Table of Contents (24) Chapters

Preface

1. Part 1: Learning about the Amazon Cloud

2. Chapter 1: Amazon EC2 and Compute Services FREE CHAPTER

3. Chapter 2: Amazon Cloud Storage Services

4. Chapter 3: Amazon Networking Services

5. Chapter 4: Amazon Database Services

6. Chapter 5: Amazon Data Analytics Services

7. Chapter 6: Amazon Machine Learning Services

8. Chapter 7: Amazon Cloud Security Services

9. Part 2:Comprehending GCP Cloud Services

10. Chapter 8: Google Cloud Foundation Services

11. Chapter 9: Google Cloud’s Database and Big Data Services

12. Chapter 10: Google Cloud AI Services

13. Chapter 11: Google Cloud Security Services

14. Part 3:Mastering Azure Cloud Services

15. Chapter 12: Microsoft Azure Cloud Foundation Services

16. Chapter 13: Azure Cloud Database and Big Data Services

17. Chapter 14: Azure Cloud AI Services

18. Chapter 15: Azure Cloud Security Services

19. Part 4:Developing a Successful Cloud Career

20. Chapter 16: Achieving Cloud Certifications

21. Chapter 17: Building a Successful Cloud Computing Career

22. Index

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Practice questions

Questions 1-8 are based on the data analytics pipeline in the AWS cloud shown in Figure 5.37. An engineer is designing a pipeline that will ingest long-term, big-volume streaming data from the web using Kinesis Data Streams, then make two copies: one copy pass to Kinesis Firehose and stored in an Amazon S3 bucket, the other data copy will be processed with Amazon EMR and then queried by Athena and visualized using Amazon QuickSight. Performance and costs are the main factors to be taken into account.