PDF Version Demo
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 |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Skills measured
- Implement conversational AI solutions (15-20%)
- Implement Computer Vision solutions (20-25%)
- Plan and manage an Azure Cognitive Services solution (15-20%)
- Implement knowledge mining solutions (15-20%)
- Implement natural language processing solutions (20-25%)
Preferential price
Even though the sales of our AI-102 practice test: Designing and Implementing a Microsoft Azure AI Solution have maintained the top position for more than 10 consecutive years, we are always trying our best to make our AI-102 exam preparation files more valid and useful for all of the workers in this field who are preparing for the meaningful exam. In addition, offering discounts in some important festivals for our customers is another shining points of our AI-102 study guide files. If you want to buy the high quality study material for the exam with the minimum amount of money, just choose our AI-102 training materials: Designing and Implementing a Microsoft Azure AI Solution. Do not hesitate anymore!
First-class after sale service
Our Company have attached great importance to the quality of our AI-102 exam preparation files, at the same time, we firmly believe that first-class service is the key for us to win customers in the international market, so our company will provide exquisite technology and strict quality control along with first-class after sale service to our customers. In other words, you really can feel free to contact with our after sale service staffs if you have any questions about our AI-102 study guide files, we can ensure you that you will get the most patient as well as the most professional service from our staffs. If you feel excited about our advantages of our AI-102 practice test: Designing and Implementing a Microsoft Azure AI Solution you can take action so as to make great progress now.
After purchase, Instant Download: Upon successful payment, Our systems will automatically send the product you have purchased to your mailbox by email. (If not received within 12 hours, please contact us. Note: don't forget to check your spam.)
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.
How to Register For Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution?
Immediate delivery
"The Eternal pursuit, endless struggle." is the tenet of our company. That is why we are continuously in pursuit of improvement in our operation system.(AI-102 practice test: Designing and Implementing a Microsoft Azure AI Solution) During the ten years, we have spent lots of time and energy on improving technology of our operation system in order to ensure the fastest delivery speed, and we have made great achievements now. We can assure you that you can get our AI-102 exam preparation within 5 to 10 minutes after payment, that is to say you can start to prepare for the exam with the most effective and useful study materials in this field immediately after you pay for our AI-102 study guide files.
We believe that almost all of the workers who have noble aspirations in this field would hope to become more competitive in the job market (without AI-102 practice test: Designing and Implementing a Microsoft Azure AI Solution) and are willing to seize the opportunity as well as meeting the challenge to take part in the exam in your field since it is quite clear that the one who owns the related certification (AI-102 exam preparation) will have more chances to get better job than others. Nevertheless, the confusing and difficult questions in the exam serve as the tiger in the road. Now our company is here to provide the panacea for you—our AI-102 study guide files. Our Designing and Implementing a Microsoft Azure AI Solution certification training files have been rewarded as the most useful and effective study materials for the exam for nearly ten years. In order to let you have a better understanding of our company's products, I list some of the advantages of our AI-102 practice exam files for you.
Bob 
Lillian 
Leila 
Barton 
Arthur 
Marico 
Ida 
Kevin 
Yetta 
Michelle 
Oswald 
Harry 
Gavin 
Veromca 
Fanny 
Walker 
Annabelle 
