Overview

AI-102: Microsoft Azure AI Engineer Associate Practice Exam is a comprehensive and meticulously designed resource to help aspiring AI engineers prepare for the real AI-102 certification exam. Developed by industry experts and Microsoft Certified Trainers, this practice exam is tailored to provide candidates with a realistic experience that closely resembles the actual exam environment.With the rapid advancements in artificial intelligence and its growing impact on various industries, the demand for skilled AI engineers has skyrocketed. Organizations worldwide are seeking professionals who possess the expertise to design, implement, and deploy AI solutions using Microsoft Azure technologies. The AI-102 certification is a testament to an individual's proficiency in this domain, and passing this exam opens up a plethora of career opportunities.AI-102: Microsoft Azure AI Engineer Associate Practice Exam is designed to assess candidates' knowledge and skills in various key areas, including analyzing solution requirements, designing AI solutions, implementing and monitoring AI solutions, and managing AI solutions. By simulating the actual exam format, this practice exam enables candidates to familiarize themselves with the question types, difficulty level, and time constraints they will encounter during the real exam.AI-102: Microsoft Azure AI Engineer Associate Practice Exam is an invaluable tool for anyone aspiring to become a certified AI engineer. It equips candidates with the necessary knowledge, skills, and confidence to excel in the real exam. By thoroughly preparing with this practice exam, candidates can significantly increase their chances of passing the AI-102 certification exam on their first attempt.Microsoft Azure AI Solution Exam Summary:Exam Name: Microsoft Azure AI SolutionExam Code: AI-102Exam Price: 165 (USD)Number of Questions: Maximum of 40-60 questions,Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,Length of Test: 130 Minutes. The exam is available in English and Japanese languages.Passing Score: 700 / 1000Languages: English at launch. JapaneseSchedule Exam: Pearson VUEMicrosoft AI-102 Exam Syllabus Topics:Plan and manage an Azure AI solution (15-20%)Implement content moderation solutions (10-15%)Implement computer vision solutions (15-20%)Implement natural language processing solutions (30-35%)Implement knowledge mining and document intelligence solutions (10-15%)Implement generative AI solutions (10-15%)Plan and manage an Azure AI solution (15-20%)Select the appropriate Azure AI serviceSelect the appropriate service for a computer vision solutionSelect the appropriate service for a natural language processing solutionSelect the appropriate service for a speech solutionSelect the appropriate service for a generative AI solutionSelect the appropriate service for a document intelligence solutionSelect the appropriate service for a knowledge mining solutionPlan, create and deploy an Azure AI servicePlan for a solution that meets Responsible AI principlesCreate an Azure AI resourceDetermine a default endpoint for a serviceIntegrate Azure AI services into a continuous integration and continuous delivery (CI/CD) pipelinePlan and implement a container deploymentManage, monitor, and secure an Azure AI serviceConfigure diagnostic loggingMonitor an Azure AI resourceManage costs for Azure AI servicesManage account keysProtect account keys by using Azure Key VaultManage authentication for an Azure AI Service resourceManage private communicationsImplement content moderation solutions (10-15%)Create solutions for content deliveryImplement a text moderation solution with Azure AI Content SafetyImplement an image moderation solution with Azure AI Content SafetyImplement computer vision solutions (15-20%)Analyze imagesSelect visual features to meet image processing requirementsDetect objects in images and generate image tagsInclude image analysis features in an image processing requestInterpret image processing responsesExtract text from images using Azure AI VisionConvert handwritten text using Azure AI VisionImplement custom computer vision models by using Azure AI VisionChoose between image classification and object detection modelsLabel imagesTrain a custom image model, including image classification and object detectionEvaluate custom vision model metricsPublish a custom vision modelConsume a custom vision modelAnalyze videosUse Azure AI Video Indexer to extract insights from a video or live streamUse Azure AI Vision Spatial Analysis to detect presence and movement of people in videoImplement natural language processing solutions (30-35%)Analyze text by using Azure AI LanguageExtract key phrasesExtract entitiesDetermine sentiment of textDetect the language used in textDetect personally identifiable information (PII) in textProcess speech by using Azure AI SpeechImplement text-to-speechImplement speech-to-textImprove text-to-speech by using Speech Synthesis Markup Language (SSML)Implement custom speech solutionsImplement intent recognitionImplement keyword recognitionTranslate languageTranslate text and documents by using the Azure AI Translator serviceImplement custom translation, including training, improving, and publishing a custom modelTranslate speech-to-speech by using the Azure AI Speech serviceTranslate speech-to-text by using the Azure AI Speech serviceTranslate to multiple languages simultaneouslyImplement and manage a language understanding model by using Azure AI LanguageCreate intents and add utterancesCreate entitiesTrain, evaluate, deploy, and test a language understanding modelOptimize a language understanding modelConsume a language model from a client applicationBackup and recover language understanding modelsCreate a question answering solution by using Azure AI LanguageCreate a question answering projectAdd question-and-answer pairs manuallyImport sourcesTrain and test a knowledge basePublish a knowledge baseCreate a multi-turn conversationAdd alternate phrasingAdd chit-chat to a knowledge baseExport a knowledge baseCreate a multi-language question answering solutionImplement knowledge mining and document intelligence solutions (10-15%)Implement an Azure AI Search solutionProvision an Azure AI Search resourceCreate data sourcesCreate an indexDefine a skillsetImplement custom skills and include them in a skillsetCreate and run an indexerQuery an index, including syntax, sorting, filtering, and wildcardsManage Knowledge Store projections, including file, object, and table projectionsImplement an Azure AI Document Intelligence solutionProvision a Document Intelligence resourceUse prebuilt models to extract data from documentsImplement a custom document intelligence modelTrain, test, and publish a custom document intelligence modelCreate a composed document intelligence modelImplement a document intelligence model as a custom Azure AI Search skillImplement generative AI solutions (10-15%)Use Azure OpenAI Service to generate contentProvision an Azure OpenAI Service resourceSelect and deploy an Azure OpenAI modelSubmit prompts to generate natural languageSubmit prompts to generate codeUse the DALL-E model to generate imagesUse Azure OpenAI APIs to submit prompts and receive responsesPrepare for success in the AI-102 certification exam with the AI-102: Microsoft Azure AI Engineer Associate Practice Exam. By utilizing this comprehensive resource, you can confidently approach the official exam, knowing that you have thoroughly tested your knowledge and skills. Invest in your future as an Azure AI Engineer Associate and take the first step towards a rewarding career in the field of artificial intelligence.

Skills

Reviews