Microsoft AI-102 Exam Preparation - New PDF Download
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Author: G Skills
Publisher: G Skills
ISBN:
Category : Computers
Languages : en
Pages : 186
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Book Description
Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution: This book offer the easiest and most effective solution to help you Pass Your Exam on the First Try. This book contain the Latest & Exclusive Questions + detailed Explanation. Practice tests are important for having better preparation. By assessing yourself with Microsoft AI-102 practice tests of this book, you will know about your weak and strong areas. Moreover, you will be able to improve your answering skills that as a result will save a lot of time during the exam. This will also make your revision strong. So, start the our top new practice exam tests and get yourself prepared for the Microsoft AI-102 certification exam. Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring. They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions. Candidates for this exam should be proficient in C#, Python, or JavaScript and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure. They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles. These Practice Questions are dedicatedly designed from a certification exam perspective. The collection of these questions is prepared keeping the exam blueprint in mind, covering not only important but necessary topics as well. It's an ideal course to practice and revise your certification. Skills measured Plan and manage an Azure Cognitive Services solution (15-20%) Implement Computer Vision solutions (20-25%) Implement natural language processing solutions (20-25%) Implement knowledge mining solutions (15-20%) Implement conversational AI solutions (15-20%) Microsoft AI-102 Exam Details Microsoft Azure AI-102 exam consists of 40-60 questions that can be in the format like scenario-based single answer questions, multiple-choice questions, arrange in the correct sequence type questions, drag & drop questions, mark review, drag, and drop, etc. However, talking about the passing score, a candidate has to score a minimum of 700 or more. Further, the Microsoft AI-102 exam cost is $165 USD and can be given in only the English language. Welcome!
Author: G Skills
Publisher: G Skills
ISBN:
Category : Computers
Languages : en
Pages : 186
Get Book Here
Book Description
Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution: This book offer the easiest and most effective solution to help you Pass Your Exam on the First Try. This book contain the Latest & Exclusive Questions + detailed Explanation. Practice tests are important for having better preparation. By assessing yourself with Microsoft AI-102 practice tests of this book, you will know about your weak and strong areas. Moreover, you will be able to improve your answering skills that as a result will save a lot of time during the exam. This will also make your revision strong. So, start the our top new practice exam tests and get yourself prepared for the Microsoft AI-102 certification exam. Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring. They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions. Candidates for this exam should be proficient in C#, Python, or JavaScript and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure. They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles. These Practice Questions are dedicatedly designed from a certification exam perspective. The collection of these questions is prepared keeping the exam blueprint in mind, covering not only important but necessary topics as well. It's an ideal course to practice and revise your certification. Skills measured Plan and manage an Azure Cognitive Services solution (15-20%) Implement Computer Vision solutions (20-25%) Implement natural language processing solutions (20-25%) Implement knowledge mining solutions (15-20%) Implement conversational AI solutions (15-20%) Microsoft AI-102 Exam Details Microsoft Azure AI-102 exam consists of 40-60 questions that can be in the format like scenario-based single answer questions, multiple-choice questions, arrange in the correct sequence type questions, drag & drop questions, mark review, drag, and drop, etc. However, talking about the passing score, a candidate has to score a minimum of 700 or more. Further, the Microsoft AI-102 exam cost is $165 USD and can be given in only the English language. Welcome!
Author: Georgio Daccache
Publisher: Georgio Daccache
ISBN:
Category : Computers
Languages : en
Pages : 317
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Book Description
Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution Latest and Exclusive Practice tests New Book. If you’re looking to test your knowledge, and practice the real exam questions, you are on the right place. This New Book contains the Latest Questions, Detailed and Exclusive Explanation + References. Our book covers all topics included in the AI-102 exam. The Microsoft AI-102 exam encompasses 40-60 questions, featuring diverse formats such as multiple-choice questions, scenario-based single-answer questions, arrange-in-correct-sequence type questions, mark review, drag & drop questions, and others. Candidates are allotted 180 minutes to finish the exam. This book will undergo periodic updates to align with the skills essential for successfully passing the official exam. This book contains two full-length, exclusive, and up-to-date practice tests with a total of 120 questions. This all-encompassing exam guide includes mock exams, and expert exam tips. You'll have the flexibility to practice as much as needed, enhancing your preparedness for the official exam. This exam assesses your proficiency in executing various technical tasks, including planning and overseeing an Azure AI solution, implementing decision support solutions, deploying computer vision solutions, integrating natural language processing solutions, implementing knowledge mining solutions and document intelligence solutions, and incorporating generative AI solutions. By the end of this book and after practicing these exclusive tests, you'll be well-equipped to pass the AI-102 exam confidently with a high score, ultimately saving both your time and money. Welcome!
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 155
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Book Description
Become the Azure AI Expert of Tomorrow! Are you ready to embark on a journey into the world of artificial intelligence and machine learning within the Microsoft Azure ecosystem? Look no further than the "Microsoft Certified Exam Guide - Azure AI Engineer Associate (AI-102)." This comprehensive book is your ultimate companion on the path to mastering Azure AI and acing the AI-102 exam. In today's era of data-driven decision-making, AI and machine learning are the driving forces behind innovation and transformation. Microsoft Azure provides a robust platform for developing AI solutions, and organizations worldwide are seeking AI experts who can leverage its capabilities. Whether you're an AI enthusiast, a data scientist, or an IT professional, this book equips you with the knowledge and skills needed to excel in Azure AI. Inside this book, you will discover: ✔ Comprehensive Coverage: A deep dive into all the essential AI concepts, tools, and best practices for designing, implementing, and maintaining AI solutions on Azure. ✔ Real-World Scenarios: Practical examples and case studies that showcase how Azure AI is used to solve real business challenges, making learning both engaging and relevant. ✔ Exam-Ready Preparation: Thorough coverage of AI-102 exam objectives, complete with practice questions and expert tips to ensure you're well-prepared for exam day. ✔ Proven Expertise: Authored by Azure AI professionals who hold the certification and have hands-on experience in developing AI solutions, offering you invaluable insights and practical guidance. Whether you aspire to advance your career, validate your expertise, or simply become a proficient Azure AI Engineer, "Microsoft Certified Exam Guide - Azure AI Engineer Associate (AI-102)" is your trusted companion on this journey. Don't miss this opportunity to become a sought-after AI expert in a competitive job market. Prepare, practice, and succeed with the ultimate resource for AI-102 certification. Order your copy today and unlock a world of AI possibilities with Microsoft Azure! © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author: Julian Sharp
Publisher: Microsoft Press
ISBN: 9780137358038
Category : Artificial intelligence
Languages : en
Pages : 0
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Book Description
Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft AI-900 Microsoft Azure AI Fundamentals certification exam. Exam Ref AI-900 Microsoft Azure AI Fundamentals offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on the specific areas of expertise modern IT professionals need to demonstrate real-world mastery of common machine learning (ML) and artificial intelligence (AI) workloads and how to use them in Azure.
Author: Georgio Daccache
Publisher: Georgio Daccache
ISBN:
Category : Computers
Languages : en
Pages : 188
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Book Description
AI-900: Microsoft Azure AI Fundamentals Exam Preparation Book New Edition 2024: Achieve success in your Microsoft AI-900 Azure AI Fundamentals Exam on the first try with our new and exclusive preparation book. This Exclusive Book is a preparation for students who want to Successfully pass the AI-900: Microsoft Azure AI Fundamentals exam on the first Try! Here we’ve brought Top new and recurrent Exam Practice Questions for Microsoft AI-900 Azure AI Fundamentals exam so that you can prepare well for this exam. This Exclusive book is aligned with the Microsoft AI-900 Exam Review Manual 2024 edition and covers all the exam’s topics that a Microsoft AI-900 candidate needs to understand in order to pass the exam successfully. The book practice tests contain exclusive, up-to-date content that is designed to match the real exam. The Practice tests will help you gaining more knowledge and more confidence on exam preparation. You will be able to self-evaluation against the real exam content. This book of exclusive practice tests will test you on questions asked in the actual Exam. This exam is intended for candidates no matter their prior knowledge or experience. Skills measured: Describe AI workloads and considerations (15-20%) Describe the fundamental principles of machine learning (ML) on Azure (30-35%) Describe the features of the computer vision (CV) workloads on Azure (15-20%) Describe the features of the Natural Language Processing (NLP) workloads on Microsoft Azure (15-20%) Describe features of generative AI workloads on Azure (15-20%) Who this book is for: Microsoft Azure AI Fundamentals (AI-900) candidates. Beginners in Machine Learning (ML) Welcome!
Author: Georgio Daccache
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 192
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Book Description
Microsoft AI-900 Azure AI Fundamentals offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. Its a preparation Book for students who want to pass the AI-900: Microsoft Azure AI Fundamentals exam on the first Try! Save their Money and Their Time! Here we've brought best Exam Practice Questions for Microsoft AI-900 Azure AI Fundamentals exam so that you can prepare well for this exam. This Book is aligned with Microsoft AI-900 Exam Review Manual and covers all the topics that a Microsoft AI-900 Candidates needs to understand in order to pass the exam successfully and on the first try. The book practice tests contain all New, recurrent Practice questions that are designed to simulate the real exam scenario. This book contains tests that will help you in gaining more confidence on exam preparation and self-evaluation against the real exam content. This set of Exclusive practice tests will test you on questions asked in the actual certification. Microsoft AI-900 Azure AI Fundamentals is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. Skills measured The content of this exam was updated on April 23, 2021. Describe AI workloads and considerations (15-20%) Describe fundamental principles of machine learning on Azure (30-35%) Describe features of computer vision workloads on Azure (15-20%) Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) Describe features of conversational AI workloads on Azure (15-20%) Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it's not a prerequisite for any of them. Welcome!
Author: Julian Sharp
Publisher: Microsoft Press
ISBN: 0137358148
Category : Computers
Languages : en
Pages : 288
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Book Description
Prepare for Microsoft Exam AI-900 and help demonstrate your real-world knowledge of diverse machine learning (ML) and artificial intelligence (AI) workloads, and how they can be implemented with Azure AI. Designed for business stakeholders, new and existing IT professionals, consultants, and students, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure AI Fundamentals level. Focus on the expertise measured by these objectives: • Describe AI workloads and considerations • Describe fundamental principles of machine learning on Azure • Describe features of computer vision workloads on Azure • Describe features of Natural Language Processing (NLP) workloads on Azure • Describe features of conversational AI workloads on Azure This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you are a business user, stakeholder, technical professional, or student who wants to become familiar with Azure AI; requires no data science or software engineering experience. About the Exam Exam AI-900 focuses on knowledge needed to identify features of common AI workloads and guiding principles for responsible AI; identify common ML types; describe core ML concepts; identify core tasks in creating an ML solution; describe capabilities of no-code ML with Azure Machine Learning Studio; identify common types of computer vision solutions; identify Azure tools and services for computer vision tasks; identify features of common NLP workload scenarios; identify Azure tools and services for NLP workloads; and identify common use cases and Azure services for conversational Al. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure AI Fundamentals certification, demonstrating your knowledge of common ML and AI workloads and how to implement them on Azure. With this certification, you can move on to earn more advanced role-based certifications, including Microsoft Certified: Azure AI Engineer Associate or Azure Data Scientist Associate. See full details at: microsoft.com/learn
Author: Jeff Barnes
Publisher: Microsoft Press
ISBN: 073569818X
Category : Computers
Languages : en
Pages : 393
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Book Description
Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.
Author: David Voss
Publisher:
ISBN:
Category :
Languages : en
Pages : 57
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Book Description
Update: 8/11/2020 The author received notice that he passed the Microsoft AI Fundamentals exam AI-900. This was the study guide he developed to prepare for the exam. David Voss, Azure AI Fundamentals AI-900, Microsoft Certification ID: 990151288 Audience This study guide follows the syllabus for the Microsoft AI Foundations exam (AI-900). More importantly, this book will help you gain the foundational knowledge needed to become an AI practitioner. You do not need a mathematical or programming background to understand the concepts in this book or to pass the AI-900 exam. About VOSS AIThe motto of VOSS.AI is "AI for All." VOSS.AI creates products and services for anyone who has an interest in learning about Artificial Intelligence. We have chosen Microsoft AI as our platform of choice because Microsoft has made a concerted effort to ensure their AI products are accessible to everyone. Study with Confidence We are committed to the integrity of the exams, as well as you as a student. This study guide does not contain any material that compromises the integrity of any Microsoft exam. All materials, including practice questions, were developed using the syllabus for the exam and thorough research of published articles. Additional Online Resources VOSS.AI provides you with additional online resources for your studies. Specifically, you can find additional study questions for the AI-900 exam. We will add new questions frequently.
Author: Aaron Guilmette
Publisher: Packt Publishing Ltd
ISBN: 1835885675
Category : Computers
Languages : en
Pages : 288
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Book Description
Get ready to pass the certification exam on your first attempt by gaining actionable insights into AI concepts, ML techniques, and Azure AI services covered in the latest AI-900 exam syllabus from two industry experts Key Features Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI Explore AI use cases, such as image identification, chatbots, and more Work through 145 practice questions under chapter-end self-assessments and mock exams Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips Book Description The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud. This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You'll explore Microsoft's responsible AI principles like safety and accountability. Then, you'll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you'll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you'll find chapter review questions with answers, provided as an online resource. By the end of this exam guide, you'll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources. What you will learn Discover various types of artificial intelligence (AI)workloads and services in Azure Cover Microsoft's guiding principles for responsible AI development and use Understand the fundamental principles of how AI and machine learning work Explore how AI models can recognize content in images and documents Gain insights into the features and use cases for natural language processing Explore the capabilities of generative AI services Who this book is for Whether you're a cloud engineer, software developer, an aspiring data scientist, or simply interested in learning AI/ML concepts and capabilities on Azure, this book is for you. The book also serves as a foundation for those looking to attempt more advanced AI and data science-related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). Although no experience in data science and software engineering is required, basic knowledge of cloud concepts and client-server applications is assumed.
