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Official Google Cloud Certified Associate Cloud Engineer Study Guide

You're reading from   Official Google Cloud Certified Associate Cloud Engineer Study Guide The only official Google Cloud study guide

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Product type Paperback
Published in Apr 2019
Publisher Wiley
ISBN-13 9781119564416
Length 560 pages
Edition 1st Edition
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Author (1):
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Dan Sullivan Dan Sullivan
Author Profile Icon Dan Sullivan
Dan Sullivan
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Toc

Table of Contents (28) Chapters Close

1. Cover FREE CHAPTER
2. Acknowledgments
3. About the Author
4. Introduction
5. Assessment Test
6. Answers to Assessment Test
7. Chapter 1 Overview of Google Cloud Platform 8. Chapter 2 Google Cloud Computing Services 9. Chapter 3 Projects, Service Accounts, and Billing 10. Chapter 4 Introduction to Computing in Google Cloud 11. Chapter 5 Computing with Compute Engine Virtual Machines 12. Chapter 6 Managing Virtual Machines 13. Chapter 7 Computing with Kubernetes 14. Chapter 8 Managing Kubernetes Clusters 15. Chapter 9 Computing with App Engine 16. Chapter 10 Computing with Cloud Functions 17. Chapter 11 Planning Storage in the Cloud 18. Chapter 12 Deploying Storage in Google Cloud Platform 19. Chapter 13 Loading Data into Storage 20. Chapter 14 Networking in the Cloud: Virtual Private Clouds and Virtual Private Networks 21. Chapter 15 Networking in the Cloud: DNS, Load Balancing, and IP Addressing 22. Chapter 16 Deploying Applications with Cloud Launcher and Deployment Manager 23. Chapter 17 Configuring Access and Security 24. Chapter 18 Monitoring, Logging, and Cost Estimating 25. Index
26. Advert
27. End User License Agreement
Appendix Answers to Review Questions

Summary

In this chapter, you looked at the different ways you can load data into storage, database, and message queue systems. Cloud Storage is organized around objects in buckets. The gsutil command and Cloud Console can be used to upload data as well as move it between buckets. You saw that the gsutil cp command can be used to copy files between Cloud Storage and VMs.

The database services provide import and export utilities. Some, such as Cloud SQL and BigQuery, make these services available from both Cloud Console and the command line. Others, like Bigtable and Cloud Dataproc, have command-line options only.

Cloud Pub/Sub can be used to decouple applications and improve resiliency to spikes in load. You saw how to create a topic and subscriptions and how to push data to the message queue, where it can be read by subscribers.

Know that Cloud Spanner uses the Dataflow service for importing and exporting. There can be additional charges when using Dataflow and moving data between regions...

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