Microsoft Certified: Azure AI Engineer Associate Certification Exam Practice Test Questions, Microsoft Certified: Azure AI Engineer Associate Exam Dumps

Stuck with your IT certification exam preparation? ExamLabs is the ultimate solution with Microsoft Certified: Azure AI Engineer Associate practice test questions, study guide, and a training course, providing a complete package to pass your exam. Saving tons of your precious time, the Microsoft Certified: Azure AI Engineer Associate exam dumps and practice test questions and answers will help you pass easily. Use the latest and updated Microsoft Certified: Azure AI Engineer Associate practice test questions with answers and pass quickly, easily and hassle free!

The Microsoft Certified: Azure AI Engineer Associate certification validates the candidates’ foundational knowledge and skills in the machine learning and artificial intelligence concepts as well as associated Microsoft Azure services. The potential applicants for this certificate are Azure AI Engineers. These professionals work with the Solution Architects for the translation of their vision. They also work with the Data Scientists, IoT Specialists, AI Developers, and Data Engineers to develop full end-to-end AI solutions.

The intended candidates should have expertise in deploying, building, and managing Artificial Intelligence solutions that leverage Microsoft Bot Framework, Azure Cognitive Search, and Azure Cognitive Services. There is no particular requirement for getting this associate-level certification. However, the individuals must pass the qualifying exam, which is Microsoft AI-102.

Exam Details

The Microsoft AI-102 test evaluates the students’ competence in planning & managing Azure Cognitive Services solutions as well as implementing knowledge mining solutions, conversation AI solutions, natural language processing solutions, and Computer Vision solutions. It also requires that the learners have expertise in JavaScript, Python, or C#.

This certification exam can only be taken in English, and you have to pay the fee of $165 to register for it. The registration process for the test is done through Pearson VUE. Microsoft AI-102 includes 40-60 questions that the candidates have to answer within 180 minutes. Some of the question formats include multiple choice, drag and drop, active screen, build list, best answer, short answer, and case studies.

When it comes to the preparation process, Microsoft recommends that the applicants go through the instructor-led training course that is Designing & Implementing Microsoft Azure AI Solutions. It equips the candidates with the skills and knowledge required to build Artificial Intelligence that leverages Azure Cognitive Services, Microsoft Bot Framework, and Azure Cognitive Search. Also, it helps achieve the passing score, which is 720 points. There are also free online learning paths that you can take to prepare for the test. The students can explore seven different variants with various modules. The links to these prep resources can be found on the official website.

Exam Topics

The Microsoft AI-102 test measures the candidates’ competence in specific domains. These subject areas should be learned, so you need to be ready for the following topics:

Plan & Migrate Azure Cognitive Service Solutions (15-20%)

• Choose the appropriate Cognitive Services resources – This part requires the test takers’ knowledge of the cognitive service for a vision solution, language analysis solution, as well as speech solution & decision support solution;
• Plan & configure security for Cognitive Service solutions – In the framework of this topic, the candidates should demonstrate their competence in managing authentication for the resources & Cognitive Service account keys. It also evaluates their skills in security Cognitive Services with the use of Azure Virtual Network and planning for solutions that fulfill the responsible principles of AI;
• Create Cognitive Services resources – This domain measures the applicants’ expertise in creating Cognitive Service resources, configuring diagnostic logging for Cognitive Service resource, implementing privacy policies within Cognitive Services, and monitoring cognitive services;
• Plan & implement Cognitive Service containers – This subject area validates the students’ proficiency in containerizing Cognitive Services and identifying when to deploy to the container.

Implement Computer Vision Solutions (20-25%)

• Analyze images with Computer Vision APIs – This topic requires the skills in utilizing Computer Vision AIP in retrieving image descriptions & tags, identifying celebrities & landmarks, as well as detecting brands within images, moderating content within images, and generating thumbnails;
• Extract text from images – The questions from this part measure the examinees’ competence in extracting text from images with OCR API & Read API. It also covers the skills in building & optimizing custom models for Form Recognizer;
• Extract facial data from images – Besides utilizing Face API, the learners should be able to detect faces within an image, identify faces in images, analyze facial characteristics, and match semblance faces;
• Use Custom Vision services to implement image classification – This domain requires the skills in training custom image classification models with SDK & Custom Vision Portal. It also evaluates the competence in managing model iterations & evaluating model metrics classifications, among others;
• Use Custom Vision services to implement object detection solutions – The professionals should possess the skills in using Computer Vision Portal to label images with the bounding boxes, utilizing Custom Vision Portal & SDK in training custom object detections, managing model iterations, measuring the model metrics for object detections, and publishing a model’s trained iteration;
• Use Video Indexer to Analyze Videos – This section requires one’s ability to process videos, extract insights from videos, moderate video content, as well as customize the Brands’ models & language models by utilizing Video Indexer.

Implement Natural Language Processing Solutions (20-25%)

• Use a Text Analytics service to analyze texts – This objective validates the skills in retrieving & processing key phrases, entity information, sentiment, and detecting languages used within the text;
• Use a Speech service to manage speech – This topic requires your competence in implementing text-to-speech, speech-to-text, customizing text-to-speech, and improving the accuracy of speech-to-text;
• Translate a language – This domain covers the skills in translating text with Translator service and translating speech-to-speech & speech-to-text with Speech service;
• Use a Language Understanding service to build initial language models – This subject area evaluates the expertise in creating entities & intents based on schemas and adding utterances, creating complex hierarchical entities as well as training & deploying models;
• Manage LUIS models – The candidates have to demonstrate their understanding of managing, collaborating, and versioning, export & deploying LUIS packages to containers, publishing models through portals or within a container, and integrating Bot Framework to function outside of the LUIS portals.

Implement Knowledge Mining Solutions (15-20%)

• Implement Cognitive Search solutions – This topic requires the learners’ competence in creating data sources, defining indexes, creating & running indexes, as well as boosting results based on significance, implementing synonyms, and querying indexes;
• Implement enrichment pipelines – The applicants should demonstrate their expertise in implementing custom skills, selecting & including build-in skills for a document, and attaching Cognitive Services accounts to their skillset;
• Implement knowledge stores – This domain measures the professionals’ skills in defining file, table & object projections, and querying projections;
• Manage Cognitive Search solutions – Here, the students should develop their competence in configuring scalability & security for Cognitive Search, and provisioning Cognitive Search;
• Manage indexing – The questions under this part cover the individuals’ skills in managing re-indexing & concurrency, rebuilding, scheduling & monitoring indexing, pushing data to indexes, and implementing incremental indexing.

Implement Conversational AI Solutions (15-20%)

• Use QnA Maker to create a knowledge base – This topic requires the learners’ competence in creating the QnA Maker service, knowledge base, and multi-turn conversation as well as adding alternate phrasing & chit-chat to a knowledge base;
• Design and implement a Conversation flow – In this domain, the candidates should demonstrate their skills in designing conversation logic for bots, creating & evaluating chat file conversations with the Bot Framework Emulator, as well as designing & implementing adaptive cards, among others;
• Use Bot Framework SDK to create a bot – This objective covers the expertise in implementing dialogs, channel-specific logic, bot-to-human handoff, prompt for user input, and logging for bot conversations;
• Use Bot Framework Composer to create a bot – This part requires the competence in implementing dialogs, prompts for user inputs, and logging for bot conversations;
• Incorporate Cognitive services into bots – This subject area measures the applicants’ skills in integrating LUIS service, QnA Maker service, Speech service, and Dispatch for different language models as well as managing keys within the app settings files.

Career Opportunities

The successful candidates who obtain this associate-level certificate can explore various job roles with it. Some of these positions that they can take up include an Azure Data Engineer, an Azure Hybrid Systems Engineer, an Applied AI Scientist, a Big Data Engineer, a Senior Data Engineer, a Software Engineer, and a Machine Learning Engineer, among others. The average salary for the certified professionals is $89,000 per annum.

Microsoft Certified: Azure AI Engineer Associate certification exam dumps from ExamLabs make it easier to pass your exam. Verified by IT Experts, the Microsoft Certified: Azure AI Engineer Associate exam dumps, practice test questions and answers, study guide and video course is the complete solution to provide you with knowledge and experience required to pass this exam. With 98.4% Pass Rate, you will have nothing to worry about especially when you use Microsoft Certified: Azure AI Engineer Associate practice test questions & exam dumps to pass.

Hide