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AI-100 Practice Tests Updated JAN 2021 4 Practice Tests 163 Questions Detailed Explanation with Refer URLs
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AI-100:Designing and Implement Azure AI Solution Exam Test
This practice test course contains 4 complete timed practice tests. Each test contains 40 questions, that’s 160+ unique questions to test how well prepared you are for the real exam. These tests also has case studies. This practice test course is designed to cover every topic, with a difficulty level like a real exam. Every question has a detailed answer with the links back to the official Microsoft docs. Candidates for this exam should have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI. Responsibilities for an Azure AI Engineer include analyzing requirements for AI solutions, recommending the appropriate tools and technologies, and designing and implementing AI solutions that meet scalability and performance requirements. Azure AI Engineers translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and software developers to build complete end-to-end solutions.A candidate for this exam should have knowledge and experience designing and implementing AI apps and agents that use Microsoft Azure Cognitive Services, Azure Bot Service, Azure Cognitive Search, and data storage in Azure. In addition, a candidate should be able to recommend solutions that use open source technologies, understand the components that make up the Azure AI portfolio and the available data storage options, and understand when a custom API should be developed to meet specific requirements. KEY FEATURES OF THESE POPULAR PRACTICE EXAMS160 Plus PRACTICE QUESTIONS: 4 sets of Practice Exams and 3 case study available on Udemy to assess your exam readiness. EXAM SIMULATION: All Practice Tests are timed and scored (passing score is 70%) mimicking the real exam environmentDETAILED EXPLANATIONS: Every question includes a detailed explanation that explains why each answer is correct or incorrectPREMIUM-QUALITY: These practice questions are free from typos and technical errors which makes your learning experience much more pleasantALWAYS UP TO DATE: Our question bank is constantly updated based on student feedback from the real exam. New questions are added on a regular basis growing our pool of questionsACTIVE Q & A FORUM: In this discussion board, students ask questions and share their recent exam experience offering feedback on which topics were covered. RESPONSIVE SUPPORT: Our team of Azure experts respond to all of your questions, concerns or feedback. Each question has detailed explanations at the end of each set that will help you gain a deeper understanding of the Azure services. MOBILE-COMPATIBLE – so you can conveniently review everywhere, anytime with your smartphone! Plus a 30 DAY MONEY BACK GUARANTEE if you’re not satisfied for any reason. Question type: Multiple choice, Drag and drop question, Yes/no questionTotal Questions: 40-60 QuestionsExam Time: 180 Minutes(3 hrs)Passing Score: 700 out of 1000Free Retake: NoBefore exam: Practice this test until you score 100%, so that you will be confident in the official exam. After exam: Once you are cleared the exam, digital badge and certification will be available in the Microsoft Certification Dashboard. Skills Measured: NOTE: The bullets that appear below each of the skills measured are intended to illustrate howwe are assessing that skill. This list is not definitive or exhaustive. Skills Measured NOTE: The bullets that appear below each of the skills measured are intended to illustrate how we are assessing that skill. This list is not definitive or exhaustive. NOTE: In most cases, exams do NOT cover preview features, and some features will only be added to an exam when they are GA (General Availability).Analyze solution requirements (25-30%) Recommend Azure Cognitive Services APIs to meet business requirementsselect the processing architecture for a solution select the appropriate data processing technologies select the appropriate AI models and services identify components and technologies required to connect service endpointsidentify automation requirementsMap security requirements to tools, technologies, and processesidentify processes and regulations needed to conform with data privacy, protection, and regulatory requirements identify which users and groups have access to information and interfacesidentify appropriate tools for a solution identify auditing requirementsSelect the software, services, and storage required to support a solutionidentify appropriate services and tools for a solution identify integration points with other Microsoft services identify storage required to store logging, bot state data, and Azure Cognitive Services outputDesign AI solutions (40-45%) Design solutions that include one or more pipelinesdefine an AI application workflow process design a strategy for ingest and egress data design the integration point between multiple workflows and pipelines design pipelines that use AI apps design pipelines t
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