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This publication is protected by copyright, and permission must be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permissions, request forms, and the appropriate contacts within the Pearson Education Global Rights & Permissions Department, please visit [www.pearson.com/permissions](www.pearson.com/permissions).  \nNo patent liability is assumed with respect to the use of the information contained herein. Although every precaution has been taken in the preparation of this book, the publisher and author assume no responsibility for errors or omissions. Nor is any liability assumed for damages resulting from the use of the information contained herein.  \nISBN-13: 978-0-13-735803-8  \nISBN-10: 0-13-735803-2  \nLibrary of Congress Control Number: 2021947615 ScoutAutomatedPrintCode  \nTRADEMARKS  \nMicrosoft and the trademarks listed at [http://www. microsoft.com on](http://www. microsoft.com on) the“Trademarks” webpage are trademarks of the Microsoft group of companies. All other marks are property of their respective owners.  \nWARNING AND DISCLAIMER  \nEvery effort has been made to make this book as complete and as accurate as possible, but no warranty or fitness is implied. The information provided is on an “as is” basis. The author, the publisher, and Microsoft Corporation shall have neither liability nor responsibility to any person or entity with respect to any loss or damages arising from the information contained in this book or from the use of the programs accompanying it.  \nSPECIAL SALES  \nFor information about buying this title in bulk quantities, or for special sales opportunities (which may include electronic versions; custom cover designs; and content particular to your business, training goals, marketing focus, or branding interests), please contact our corporate sales department at [corpsales@pearsoned.com](corpsales@pearsoned.com) or (800) 382-3419.  \nFor government sales inquiries, please contact [governmentsales@pearsoned.com](governmentsales@pearsoned.com).  \nFor questions about sales outside the U.S., please contact [intlcs@pearson.com](intlcs@pearson.com).  \nEDITOR-IN-CHIEF Brett Bartow  \nEXECUTIVE EDITOR Loretta Yates  \nSPONSORING EDITOR Charvi Arora  \nDEVELOPMENT EDITOR Songlin Qiu  \nMANAGING EDITOR Sandra Schroeder  \nSENIOR PROJECT EDITOR Tracey Croom  \nCOPY EDITOR Sarah Kearns  \nINDEXER  \nTimothy Wright PROOFREADER Donna Mulder  \nTECHNICAL EDITOR Francesco Esposito  \nEDITORIAL ASSISTANT Cindy Teeters  \nCOVER DESIGNER  \nTwist Creative, Seattle  \nCOMPOSITOR  \ncodeMantra  \nGRAPHICS codeMantra  \nPearson’s Commitment to Diversity, Equity, and Inclusion  \nPearson is dedicated to creating bias-free content that reflects the diversity of all learners. We embrace the many dimensions of diversity, including but not limited to race, ethnicity, gender, socioeconomic status, ability, age, sexual orientation, and religious or political beliefs.  \nEducation is a powerful force for equity and change in our world. It has the potential to deliver opportunities that improve lives and enable economic mobility. As we work with authors to create content for every product and service, we acknowledge our responsibility to demonstrate inclusivity and incorporate diverse scholarship so that everyone can achieve their potential through learning. As the world’s leading learning company, we have a duty to help drive change and live up to our purpose to help more people create abetter life for themselves and to create a better world.  \nOur ambition is to purposefully contribute to a world where: ","cbCaia3U7tlmf9kO","https://ap.wps.com/l/cbCaia3U7tlmf9kO","pdf",2368270,43,"English","# Introduction\n## Organization of this book\n## Preparing for the exam\n## Microsoft certifications\n## Quick access to online references\n## Errata, updates, & book support\n## Stay in touch\n# Chapter 1 Describe Artificial Intelligence workloads and considerations\n## Skill 1.1: Identify features of common AI workloads\n## Describe Azure services for AI and ML\n## Understand Azure Machine Learning\n## Understand Azure Cognitive Services\n## Describe the Azure Bot Service\n# Chapter 2 Describe fundamental principles of machine learning on Azure\n# Chapter 3 Describe features of computer vision workloads on Azure\n# Chapter 4 Describe features of Natural Language Processing (NLP) workloads on Azure\n# Chapter 5 Describe features of conversational AI workloads on Azure\n# Index","[{\"question\":\"What exam is this guide designed to prepare for?\",\"answer\":\"The guide is titled “Exam Ref AI-900 Microsoft Azure AI Fundamentals,” indicating it is intended for preparing for the AI-900 fundamentals exam.\"},{\"question\":\"Which AI workload areas does the book cover on Azure?\",\"answer\":\"It covers common AI workloads plus specific areas including computer vision, natural language processing (NLP), and conversational AI workloads on Azure.\"},{\"question\":\"How is the book organized for learning and review?\",\"answer\":\"The table of contents shows an introduction and multiple chapters by topic, along with skill-based sections such as “Skill 1.1,” plus guidance for preparing for the exam and quick access to references.\"}]","Exam Ref AI-900 Microsoft Azure AI Fundamentals - Exam Preparation | PDF",1790776264,108]