There are so many benefits when you get qualified by the AI-102日本語 certification. Expand your knowledge and your potential earning power to command a higher salary by earning the AI-102日本語 best study material. Now, let's prepare for the exam test with the AI-102日本語 exam guide offered by Prep4sureExam. And at the same time, there are many incomprehensible knowledge points and boring descriptions in the book, so that many people feel a headache and sleepy when reading books. But with AI-102日本語 learning question, you will no longer have these troubles.
24-hour online efficient service
Our AI-102日本語 learning question can provide you with a comprehensive service beyond your imagination. AI-102日本語 exam guide has a first-class service team to provide you with 24-hour efficient online services. Our team includes industry experts & professional personnel and after-sales service personnel, etc. Industry experts hired by AI-102日本語 exam guide helps you to formulate a perfect learning system, and to predict the direction of the exam, and make your learning easy and efficient. Our staff can help you solve the problems that AI-102日本語 test prep has in the process of installation and download. They can provide remote online help whenever you need. And after-sales service staff will help you to solve all the questions arising after you purchase AI-102日本語 learning question, any time you have any questions you can send an e-mail to consult them. All the help provided by AI-102日本語 test prep is free. It is our happiest thing to solve the problem for you. Please feel free to contact us if you have any problems.
Microsoft AI-102 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Plan and Manage an Azure Cognitive Services Solution (15-20%) | |
| Select the appropriate Cognitive Services resource | - select the appropriate cognitive service for a vision solution - select the appropriate cognitive service for a language analysis solution - select the appropriate cognitive Service for a decision support solution - select the appropriate cognitive service for a speech solution |
| Plan and configure security for a Cognitive Services solution | - manage Cognitive Services account keys - manage authentication for a resource - secure Cognitive Services by using Azure Virtual Network - plan for a solution that meets responsible AI principles |
| Create a Cognitive Services resource | - create a Cognitive Services resource - configure diagnostic logging for a Cognitive Services resource - manage Cognitive Services costs - monitor a cognitive service - implement a privacy policy in Cognitive Services |
| Plan and implement Cognitive Services containers | - identify when to deploy to a container - containerize Cognitive Services (including Computer Vision API, Face API, Languages, Speech, Form Recognizer) - deploy Cognitive Services Containers in Microsoft Azure |
Implement Computer Vision Solutions (20-25%) | |
| Analyze images by using the Computer Vision API | - retrieve image descriptions and tags by using the Computer Vision API - identify landmarks and celebrities by using the Computer Vision API - detect brands in images by using the Computer Vision API - moderate content in images by using the Computer Vision API - generate thumbnails by using the Computer Vision API |
| Extract text from images | - extract text from images or PDFs by using the Computer Vision service - extract information using pre-built models in Form Recognizer - build and optimize a custom model for Form Recognizer |
| Extract facial information from images | - detect faces in an image by using the Face API - recognize faces in an image by using the Face API - analyze facial attributes by using the Face API - match similar faces by using the Face API |
| Implement image classification by using the Custom Vision service | - label images by using the Computer Vision Portal - train a custom image classification model in the Custom Vision Portal - train a custom image classification model by using the SDK - manage model iterations - evaluate classification model metrics - publish a trained iteration of a model - export a model in an appropriate format for a specific target - consume a classification model from a client application - deploy image classification custom models to containers |
| Implement an object detection solution by using the Custom Vision service | - label images with bounding boxes by using the Computer Vision Portal - train a custom object detection model by using the Custom Vision Portal - train a custom object detection model by using the SDK - manage model iterations - evaluate object detection model metrics - publish a trained iteration of a model - consume an object detection model from a client application - deploy custom object detection models to containers |
| Analyze video by using Azure Video Analyzer for Media (formerly Video Indexer) | - process a video - extract insights from a video - moderate content in a video - customize the Brands model used by Video Indexer - customize the Language model used by Video Indexer by using the Custom Speech service - customize the Person model used by Video Indexer - extract insights from a live stream of video data |
Implement Natural Language Processing Solutions (20-25%) | |
| Analyze text by using the Language service | - retrieve and process key phrases - retrieve and process entity information (people, places, urls, etc.) - retrieve and process sentiment - detect the language used in text |
| Manage speech by using the Speech service | - implement text-to-speech - customize text-to-speech - implement speech-to-text - improve speech-to-text accuracy - improve text-to-speech accuracy - implement intent recognition |
| Translate language | - translate text by using the Translator service - translate speech-to-speech by using the Speech service - translate speech-to-text by using the Speech service |
| Build a initial language model by using Language Understanding Service (LUIS) | - create intents and entities based on a schema, and add utterances - create complex hierarchical entities
- train and deploy a model |
| Iterate on and optimize a language model by using Language Understanding | - implement phrase lists - implement a model as a feature (i.e. prebuilt entities) - manage punctuation and diacritics - implement active learning - monitor and correct data imbalances - implement patterns |
| Manage a Language Understanding model | - manage collaborators - manage versioning - publish a model through the portal or in a container - export a LUIS package - deploy a LUIS package to a container - integrate Bot Framework (LUDown) to run outside of the LUIS portal |
| Create a Questions Answering solution using the Language service | - create a question answering project - import questions and answers - train and test a knowledge base - publish a knowledge base - create a multi-turn conversation - add alternate phrasing - add chit-chat to a knowledge base- export a knowledge base - add active learning to a knowledge base |
Implement Knowledge Mining Solutions (15-20%) | |
| Implement a Cognitive Search solution | - create data sources - define an index - create and run an indexer - query an index - configure an index to support autocomplete and autosuggest - boost results based on relevance - implement synonyms |
| Implement an enrichment pipeline | - attach a Cognitive Services account to a skillset - select and include built-in skills for documents - implement custom skills and include them in a skillset |
| Implement a knowledge store | - define file projections - define object projections - define table projections - query projections |
| Manage a Cognitive Search solution | - provision Cognitive Search - configure security for Cognitive Search - configure scalability for Cognitive Search |
| Manage indexing | - manage re-indexing - rebuild indexes - schedule indexing - monitor indexing - implement incremental indexing - manage concurrency - push data to an index - troubleshoot indexing for a pipeline |
Implement Conversational AI Solutions (15-20%) | |
| Design and implement conversation flow | - design conversation logic for a bot - create and evaluate *.chat file conversations by using the Bot Framework Emulator - choose an appropriate conversational model for a bot, including activity handlers and dialogs |
| Create a bot by using the Bot Framework SDK | - use the Bot Framework SDK to create a bot from a template - implement activity handlers and dialogs - use Turn Context - test a bot using the Bot Framework Emulator - deploy a bot to Azure |
| Create a bot by using the Bot Framework Composer | - implement dialogs - maintain state - implement logging for a bot conversation - implement prompts for user input - troubleshoot a conversational bot - test a bot - publish a bot - add language generation for a response - design and implement adaptive cards |
| Integrate Cognitive Services into a bot | - integrate a question answering model - integrate a LUIS service - integrate a Speech service resource |
How much AI-102: Designing and Implementing an Azure AI Solution Exam Cost
The price of the Microsoft Mobility and Devices Fundamentals exam is $165 USD, for more information related to exam price please visit to Microsoft Training website as prices of Microsoft exams fees get varied country wise.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Easy and efficient learning process
Different from the common question bank on the market, AI-102日本語 exam guide is a scientific and efficient learning system that is recognized by many industry experts. In normal times, you may take months or even a year to review a professional exam, but with AI-102日本語 exam guide you only need to spend 20-30 hours to review before the exam. And with AI-102日本語 learning question, you will no longer need any other review materials, because our study materials already contain all the important test sites. At the same time, AI-102日本語 test prep helps you to master the knowledge in the course of the practice.
AI-102: Designing and Implementing an Azure AI Solution Certification Path
The Microsoft Designing and Implementing an Azure AI Solution Certification includes only one AI-100 Exam.
For candidates that are aiming to develop their skills in building, operating, and deploying AI solutions with the help of such services as Azure Applied AI services and Azure Cognitive Services, the best variant is to pass the Microsoft AI-102 exam. This exam is all about designing and applying a Microsoft Azure AI Solution, and leads to getting the Microsoft Certified: Azure AI Engineer Associate certification.
Passing this exam implies that certified candidates are able to participate in all stages of AI solutions development from defining requirements to performance tuning and monitoring. These professionals cooperate with solution architects, as well as with data engineers and scientists, AI developers to show their vision and create comprehensive AI solutions.
Free trial service
Students often feel helpless when purchasing test materials, because most of the test materials cannot be read in advance, students often buy some products that sell well but are actually not suitable for them. But if you choose AI-102日本語 test prep, you will certainly not encounter similar problems. Before you buy AI-102日本語 learning question, you can log in to our website to download a free trial question bank, and fully experience the convenience of PDF, APP, and PC three models of AI-102日本語 learning question. During the trial period, you can fully understand our study materials' learning mode, completely eliminate any questions you have about AI-102日本語 test prep, and make your purchase without any worries.
No help, Full refund!
Prep4sureExam confidently stands behind all its offerings by giving Unconditional "No help, Full refund" Guarantee. Since the time our operations started we have never seen people report failure in the exam after using our AI-102日本語 exam braindumps. With this feedback we can assure you of the benefits that you will get from our AI-102日本語 exam question and answer and the high probability of clearing the AI-102日本語 exam.
We still understand the effort, time, and money you will invest in preparing for your Microsoft certification AI-102日本語 exam, which makes failure in the exam really painful and disappointing. Although we cannot reduce your pain and disappointment but we can certainly share with you the financial loss.
This means that if due to any reason you are not able to pass the AI-102日本語 actual exam even after using our product, we will reimburse the full amount you spent on our products. you just need to mail us your score report along with your account information to address listed below within 7 days after your unqualified certificate came out.
