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The Self-Taught Cloud Computing Engineer

You're reading from  The Self-Taught Cloud Computing Engineer

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781805123705
Pages 472 pages
Edition 1st Edition
Languages
Author (1):
Dr. Logan Song Dr. Logan Song
Profile icon Dr. Logan Song

Table of Contents (24) Chapters

Preface 1. Part 1: Learning about the Amazon Cloud
2. Chapter 1: Amazon EC2 and Compute Services 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 23. Other Books You May Enjoy

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.

Figure 5.37 – Data analytics pipeline in the AWS cloud (redraw)

Figure 5.37 – Data analytics pipeline in the AWS cloud (redraw)

1. What instances would you recommend for the EMR cluster?

A. Reserved Instances for the cluster

B. Spot Instances for core and task nodes and a Reserved Instance for the master node

C. Spot Instances for the cluster

D. On-demand instances for the cluster

2. What filesystem would you recommend for the EMR cluster?

A. HDFS with a consistent view

B...

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