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Home Official Google Cloud Certified Professional Data Engineer Study Guide - Paperback
Official Google Cloud Certified Professional Data Engineer Study Guide
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  • Price Written on Book,

Official Google Cloud Certified Professional Data Engineer Study Guide - Paperback

Original price $72.52 - Original price $72.52
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$72.52
$72.52 - $72.52
Current price $72.52
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Availability: In Stock
SKU 9781119618430
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by Dan Sullivan (Author)

The proven Study Guide that prepares you for this new Google Cloud exam

The Google Cloud Certified Professional Data Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests.

Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data Engineer Study Guide is your ace in the hole for deploying and managing analytics and machine learning applications.

  • Build and operationalize storage systems, pipelines, and compute infrastructure
  • Understand machine learning models and learn how to select pre-built models
  • Monitor and troubleshoot machine learning models
  • Design analytics and machine learning applications that are secure, scalable, and highly available.

This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud Platform.

Back Jacket

Includes interactive online learning environment and study tools:

  • 2 custom practice exams
  • More than 100 electronic flashcards
  • Searchable key term glossary

Understand the Google Cloud Platform and prepare for the new Professional Data Engineer exam

The Official Google Cloud Certified Professional Data Engineer is your one-stop resource for complete coverage of the new Google Cloud Professional Data Engineer exam. This Sybex Study Guide covers 100% of the Google Cloud Professional Data Engineer exam objectives. You'll prepare for the exam smarter and faster with Sybex, thanks to a pre-book assessment quiz to test what you already know, practice tests that check exam readiness, Exam Essentials review sections, and challenging chapter review questions. Reinforce what you have learned with the exclusive Sybex online learning environment and test bank, assessable across multiple devices. Get prepared for the Google Cloud Professional Data Engineer exam with Sybex.

Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for:

  • Storage Systems
  • Data Pipelines
  • Security and Compliance
  • Processing Infrastructure
  • Machine Learning Pipelines
  • Troubleshooting
  • Pre-Built Machine Learning Models

Interactive learning environment

Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain access to:

  • Interactive test bank with 2 practice exams. Practice exams help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam. More than 250 online questions total!
  • More than 100 electronic flashcards to reinforce learning and last-minute prep before the exam
  • Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

Author Biography

DAN SULLIVAN is a software architect specializing in data architecture, machine learning, and cloud computing. Dan is a Google Cloud Certified Professional Data Engineer, Professional Architect, and Associate Cloud Engineer. Dan is the author of six books and numerous articles. He is an instructor with LinkedIn Learning and Udemy for Business.

Number of Pages: 352
Dimensions: 0.7 x 9.2 x 7.3 IN
Publication Date: June 10, 2020

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