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Codice articolo 1119871441-11-1

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Dati bibliografici

Titolo

Google Cloud Certified Associate Cloud Engineer Study Guide (Sybex Study Guide)

Editore

Sybex (edition 2)

Data di pubblicazione

2023

Lingua

Inglese

ISBN 10

1119871441

ISBN 13

9781119871446

Rilegatura

Paperback

Edizione

Condizione

Good

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Descrizione articolo

Riassunto

Quickly and efficiently prepare for the Google Associate Cloud Engineer certification with the proven Sybex method

In the newly updated Second Edition of Google Cloud Certified Associate Cloud Engineer Study Guide, expert engineer and tech educator Dan Sullivan delivers an essential handbook for anyone preparing for the challenging Associate Cloud Engineer exam offered by Google and for those seeking to upgrade their Google Cloud engineering skillset.

The book provides readers with coverage of every domain and competency tested by the Associate Cloud Engineer exam, including how to select the right Google compute service from the wide variety of choices, how to choose the best storage option for your services, and how to implement appropriate security controls and network functionality.

This guide also offers:

A strong emphasis on transforming readers into competent, job-ready applicants, with a focus on building skills in high demand by contemporary employers
Concrete test-taking strategies, techniques, and tips to help readers conquer exam anxiety
Complimentary access to a comprehensive online learning environment, complete with practice tests

A must-have resource for practicing and aspiring Google Cloud engineers, Google Cloud Certified Associate Cloud Engineer Study Guide allows you to prepare for this challenging certification efficiently and completely.

Informazioni sull?autore

ABOUT THE AUTHOR

DAN SULLIVAN is a data architect specializing in data architecture, data analytics, and machine learning. Dan has also written the official Google Cloud study guides for the Professional Architect and Professional Data Engineer certification exams. He has taught courses on machine learning, data science, and cloud computing for LinkedIn Learning and Udemy, and holds a PhD in genetics, bioinformatics, and computational biology with a focus on infectious disease genomics.

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