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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Integrate vision capabilities into applications - Extract text and handwriting from images - Process and index video content - Build and deploy custom vision models |
| Topic 2: Plan and manage an Azure AI solution | 20-25% | - Monitor, optimize, and secure AI solutions - Plan solutions aligned with responsible AI principles - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Select suitable AI models - Create and configure Azure AI resources - Select appropriate Microsoft Foundry Services |
| Topic 3: Implement generative AI solutions | 15-20% | - Integrate Azure OpenAI and other generative models - Deploy and manage generative models - Implement model monitoring and feedback - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning |
| Topic 4: Implement natural language processing solutions | 15-20% | - Implement translation and summarization - Build conversational AI and chatbots - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection |
| Topic 5: Implement an agentic solution | 5-10% | - Build agents with Microsoft Foundry Agent Service - Test, deploy, and optimize agents - Understand agent use cases and types - Develop multi-agent workflows and orchestration |
| Topic 6: Implement knowledge mining and information extraction solutions | 15-20% | - Implement intelligent search and retrieval - Extract entities, relationships, and key phrases - Ingest and process structured/unstructured data - Build knowledge bases and search indexes |
현재 경쟁울이 심한IT시대에,Microsoft AI-102자격증 취득만으로 이 경쟁이 심한 사회에서 자신만의위치를 보장할수 있고 더욱이는 한층업된 삶을 누릴수 있을수도 있습니다. 우리ITDumpsKR 에서 여러분은Microsoft AI-102관련 학습지도서를 얻을 수 있습니다. 우리ITDumpsKR는 IT업계엘리트 한 강사들이 퍼펙트한Microsoft AI-102문제집을 만들어서 제공합니다. 우리가 제공하는Microsoft AI-102문제와 답으로 여러분은 한번에 성공적으로 시험을 패스 하실수 있습니다. 중요한것 저희 문제집을 선택함으로 여러분의 시간도 절약해드리고 무엇보다도 많은 근심없이 심플하게 시험을 패스하여 좋다는 점입니다.
질문 # 331
You plan to use containerized versions of the Anomaly Detector API on local devices for testing and in on-premises datacenters.
You need to ensure that the containerized deployments meet the following requirements:
Prevent billing and API information from being stored in the command-line histories of the devices that run the container.
Control access to the container images by using Azure role-based access control (Azure RBAC).
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose four.) NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
정답：
설명：
질문 # 332
You are examining the Text Analytics output of an application.
The text analyzed is: " Our tour guide took us up the Space Needle during our trip to Seattle last week. " The response contains the data shown in the following table.
Which Text Analytics API is used to analyze the text?
정답：B
설명：
https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/named-entity-recognition
/overview Named Entity Recognition (NER) is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. The NER feature can identify and categorize entities in unstructured text. For example: people, places, organizations, and quantities.
질문 # 333
You need to develop a solution to provide data to executives. The solution must provide an interactive graphical interface, depict various key performance indicators, and support data exploration by using drill down. What should you use in Microsoft Power Bl?
정답：D
질문 # 334
You are developing an application that will use Azure Cognitive Search for internal documents.
You need to implement document-level filtering for Azure Cognitive Search.
Which three actions should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
정답：C,E,F
설명：
Explanation
Your documents must include a field specifying which groups have access. This information becomes the filter criteria against which documents are selected or rejected from the result set returned to the issuer.
D: A query request targets the documents collection of a single index on a search service.
CF: In order to trim documents based on group_ids access, you should issue a search query with a group_ids/any(g:search.in(g, 'group_id1, group_id2,...')) filter, where 'group_id1, group_id2,...' are the groups to which the search request issuer belongs.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-security-trimming-for-azure-search
질문 # 335
You are planning the product creation project.
You need to recommend a process for analyzing videos.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose four.)
정답：
설명：
Explanation
Scenario: All videos must have transcripts that are associated to the video and included in product descriptions.
Product descriptions, transcripts, and all text must be available in English, Spanish, and Portuguese.
Step 1: Upload the video to blob storage
Given a video or audio file, the file is first dropped into a Blob Storage. T Step 2: Index the video by using the Video Indexer API.
When a video is indexed, Video Indexer produces the JSON content that contains details of the specified video insights. The insights include: transcripts, OCRs, faces, topics, blocks, etc.
Step 3: Extract the transcript from the Video Indexer API.
Step 4: Translate the transcript by using the Translator API.
Reference:
https://azure.microsoft.com/en-us/blog/get-video-insights-in-even-more-languages/
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-output-json-v2
질문 # 336
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