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우리 DumpTOP사이트에서 제공되는Microsoft인증AI-102시험덤프의 일부분인 데모 즉 문제와 답을 다운받으셔서 체험해보면 우리DumpTOP에 믿음이 갈 것입니다. 우리DumpTOP의 제품을 구매하신다고 하면 우리는 최선을 다하여 여러분들한테 최고의 버전을 제공함으로 한번에Microsoft인증AI-102시험을 패스하도록 하겠습니다. IT시험이라고 모두 무조건 외우고 장악하고 많은 시간을 투자해야만 된다는 사상을 깨게 될 것입니다.
| Section | Weight | Objectives |
|---|---|---|
| Plan and manage an Azure AI solution | 20-25% | - Select suitable AI models - Plan solutions aligned with responsible AI principles - Create and configure Azure AI resources - Select appropriate Microsoft Foundry Services - Monitor, optimize, and secure AI solutions - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining |
| Implement natural language processing solutions | 15-20% | - Build conversational AI and chatbots - Implement translation and summarization - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection |
| Implement an agentic solution | 5-10% | - Develop multi-agent workflows and orchestration - Understand agent use cases and types - Test, deploy, and optimize agents - Build agents with Microsoft Foundry Agent Service |
| Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Extract text and handwriting from images - Integrate vision capabilities into applications - Process and index video content - Build and deploy custom vision models |
| Implement generative AI solutions | 15-20% | - Implement model monitoring and feedback - Integrate Azure OpenAI and other generative models - Deploy and manage generative models - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning |
| Implement knowledge mining and information extraction solutions | 15-20% | - Implement intelligent search and retrieval - Ingest and process structured/unstructured data - Build knowledge bases and search indexes - Extract entities, relationships, and key phrases |
>> Microsoft AI-102높은 통과율 덤프공부 <<
Microsoft AI-102 덤프가 고객님의 기대를 가득 채워드릴수 있도록 정말로 노력하고 있는 DumpTOP랍니다. Microsoft AI-102 덤프는 pdf버전과 소프트웨어버전으로만 되어있었는데 최근에는 휴대폰에서가 사용가능한 온라인버전까지 개발하였습니다. 날따라 새로운 시스템을 많이 개발하여 고객님께 더욱 편하게 다가갈수 있는 DumpTOP가 되겠습니다.
질문 # 316
You are developing a photo application that will find photos of a person based on a sample image by using the Face API.
You need to create a POST request to find the photos.
How should you complete the request? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
정답：
설명：
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/detectwithurl
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar
질문 # 317
You have an Azure subscription that contains an Azure Al Document Intelligence resource named DM.
You build an app named App1 that analyzes PDF files for handwritten content by using DM.
You need to ensure that App1 will recognize the handwritten content.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Comprehensive Detailed Explanation
The requirement:
You have an Azure AI Document Intelligence resource (formerly Form Recognizer).
You want the app to detect handwritten content inside PDF files.
Step 1 - Choosing the correct model
prebuilt-document: Extracts structure and text from documents, but not optimized specifically for handwriting.
prebuilt-contract: Designed for contracts, not general handwriting.
prebuilt-read: Extracts text (printed and handwritten) from documents. Supports handwritten content recognition.
Therefore, to analyze handwritten content, the correct choice is prebuilt-read.
Step 2 - Confidence threshold
The style.Confidence value indicates the confidence that the text is handwritten.
A typical threshold used is 0.75 (75%).
This ensures that only results with reasonably high confidence are considered handwritten.
Values like 0.1 would be too low (allowing false positives), while 1.0 might miss valid handwriting because it requires absolute certainty.
The Answer:
Model: prebuilt-read
Confidence threshold: 0.75
질문 # 318
You have an Azure Cognitive Search resource named Search 1 that is used by multiple apps You need to secure Search 1. The solution must meet the following requirements:
* Prevent access to Search1 from the internet.
* Limit the access of each app to specific queries
What should you do? To answer, select the appropriate options in the answer area NOTE Each correct answer is worth one point.
정답：
설명：
질문 # 319
You are building a social media extension that will convert text to speech. The solution must meet the following requirements:
* Support messages of up to 400 characters.
* Provide users with multiple voice options.
* Minimize costs.
You create an Azure Cognitive Services resource.
Which Speech API endpoint provides users with the available voice options?
정답：A
질문 # 320
You need to enable speech capabilities for a chatbot.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
정답：A,C,E
설명：
You can use the Speech service to voice-enable a chat bot.
The Direct Line Speech channel uses the text-to-speech service, which has neural and standard voices.
You'll need to make a small configuration change so that your bot can communicate with the Direct Line Speech channel using web sockets.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/tutorial-voice-enable-your-bot-speech-sdk
질문 # 321
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AI-102인기자격증 덤프공부문제: https://www.dumptop.com/Microsoft/AI-102-dump.html
DumpTOP AI-102 최신 PDF 버전 시험 문제집을 무료로 Google Drive에서 다운로드하세요: https://drive.google.com/open?id=1845R9IABiKhh_HjCr0MjqZz8j4c_14XU