Three versions for your convenience
Our company is providing the three versions of AI-102日本語 actual lab questions: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) for our customers at present, which is very popular in market. More and more customers are attracted by our AI-102日本語 exam preparatory. The three versions include the windows software, app version and PDF version of AI-102日本語 best questions. On the one hand, we have a good sense of the market. The diverse choice is a great convenience for customers. No one likes single service. On the other hand, people can effectively make use of AI-102日本語 exam questions: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版). They can choose freely which kind of version is more suitable for them. In this way, customers are willing to spend time on learning the AI-102日本語 training materials because learning is an interesting process. All in all, our AI-102日本語 exam dumps are beyond your expectations.
Less time input of our AI-102日本語 exam preparatory
Many people think that passing the Microsoft AI-102日本語 exam needs a lot of time to learn the relevant knowledge. In reality, our AI-102日本語 actual lab questions: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) can help you save a lot of time if you want to pass the exam. It just takes you twenty to thirty hours to learn our AI-102日本語 exam preparatory, which means that you just need to spend two or three hours every day. Then you can take part in the Microsoft AI-102日本語 exam. We know that everyone is busy in modern society. Time-saving is very important to live a high quality life. You needn't to input all you spare time to learn. As we all know, all work and no play make Jack a dull boy. The spare time can be used to travel or meet with friends. In a word, our AI-102日本語 actual lab questions: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) are your good assistant.
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.)
What is the duration, language, and format of AI-102: Designing and Implementing an Azure AI Solution Exam
- Language: English, Japanese, Chinese (Simplified), Korean.
- Type of Questions: This test format is multiple choice.
- Length of Examination: 50 mins
- Number of Questions: 40 to 60 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice.)
- Passing Score: 700 / 1000
- This is beta exam.
Topics Covered
Exam AI-102 contains five topics each of which is intended to check specific skills.
1. Plan and Manage an Azure Cognitive Services Solution
This topic implies your ability to choose the suitable Cognitive Services resource, create it, plan and design security for a Cognitive Services solution, and apply Cognitive Services containers. This means that you should be competent in selecting the appropriate cognitive service for solutions that refer to language analysis, speech, decision support, and vision. You also should possess skills to operate costs of Cognitive Services, create a Cognitive Services resource, and monitor a cognitive service. This part also checks how well you can operate Cognitive Services account keys, and protect Cognitive Services. Your knowledge of using Face API, Computer Vision, Speech, Text Analysis, and ability to integrate Cognitive Services Containers in Microsoft Azure will also be assessed.
2. Implement Computer Vision Solutions
The second topic is designed to check your skills in using the Computer Vision API to get image descriptions, define landmarks, find brands, edit content in images, and create thumbnails. In this part, you are expected to be able to detect faces and recognize them in images, analyze facial features, and match similar faces with the help of the Face API. Being competent in utilizing the Custom Vision service, you should demonstrate your skills in applying image classification and implementing an object detection solution. Besides, your ability to analyze video by implementing Azure Video Analyzer for Media will be measured.
3. Implement Natural Language Processing Solutions
In the third topic, candidates are required to show their skills in analyzing text by utilizing the Text Analytics service, control speech by implementing the Speech service, translate the text with the help of the Translator service. This domain also checks your proficiency in creating and optimizing an initial language model by utilizing LUIS, and finally, managing it.
4. Implement Knowledge Mining Solutions
In this domain, you will be required to have expertise related to applying a Cognitive Search solution, which implies creating data sources, identifying an index, running an indexer, and using synonyms. This topic also aims to evaluate your ability to apply an enrichment pipeline, use a knowledge store, operate a Cognitive Search solution and indexing.
5. Implement Conversational AI Solutions
This domain will evaluate your capacity in utilizing QnA Maker to make a knowledge base, creating and implementing conversation flow, creating a bot by utilizing either the Bot Framework Composer or the Bot Framework SDK. Finally, you will need to demonstrate your skills in integrating Cognitive Services into a bot.
Schedule exam
Languages: English, Japanese, Chinese (Simplified), Korean
Retirement date: none
This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Nowadays, competitions among job-seekers are very fierce. A good job is especially difficult to get. Everyone wants to find a desired job. At the same time, good jobs require high-quality people. If you are looking forward to win out in the competitions, our AI-102日本語 actual lab questions: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) can surely help you realize your dream. Our AI-102日本語 exam preparatory will assist you to acquire more popular skills, which is very useful in job seeking. We'd appreciate it if you can choose our AI-102日本語 best questions. You are bound to pass exam and gain a certificate.
Free demo of our AI-102日本語 practice test materials
Everyone wants to have a try before they buy a new product because of uncertainty. For this reason, our AI-102日本語 actual lab questions: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) offers free demo before deciding to buy. The free demo can help you to have a complete impression on our products. Once you download the free demo, you will find that our AI-102日本語 exam preparatory materials totally accords with your demands. The knowledge is well prepared and easy to understand. You need to pay attention that our free demo just includes partial knowledge of the AI-102日本語 training materials. If you are satisfied with our product, please pay for the complete version. Our AI-102日本語 exam dumps materials will never let you down.
Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and manage an Azure AI solution | 20-25% | - Create and configure Azure AI resources - Monitor, optimize, and secure AI solutions - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Plan solutions aligned with responsible AI principles - Select suitable AI models - Select appropriate Microsoft Foundry Services |
| Topic 2: Implement computer vision solutions | 10-15% | - Process and index video content - Analyze images and detect objects/features - Integrate vision capabilities into applications - Extract text and handwriting from images - Build and deploy custom vision models |
| Topic 3: Implement natural language processing solutions | 15-20% | - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Build conversational AI and chatbots - Implement translation and summarization |
| Topic 4: Implement generative AI solutions | 15-20% | - Integrate Azure OpenAI and other generative models - Implement model monitoring and feedback - Apply prompt engineering and fine-tuning - Orchestrate multiple models and containers - Deploy and manage generative models |
| Topic 5: Implement knowledge mining and information extraction solutions | 15-20% | - Build knowledge bases and search indexes - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval - Ingest and process structured/unstructured data |
| Topic 6: Implement an agentic solution | 5-10% | - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents - Understand agent use cases and types |
