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| Section | Weight | Objectives |
|---|---|---|
| Plan and manage an Azure AI solution | 20-25% | - Create and configure Azure AI resources - Plan solutions aligned with responsible AI principles - Select appropriate Microsoft Foundry Services - Select suitable AI models - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Monitor, optimize, and secure AI solutions |
| Implement knowledge mining and information extraction solutions | 15-20% | - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval - Build knowledge bases and search indexes - Ingest and process structured/unstructured data |
| Implement computer vision solutions | 10-15% | - Build and deploy custom vision models - Process and index video content - Integrate vision capabilities into applications - Extract text and handwriting from images - Analyze images and detect objects/features |
| Implement generative AI solutions | 15-20% | - Implement model monitoring and feedback - Apply prompt engineering and fine-tuning - Integrate Azure OpenAI and other generative models - Orchestrate multiple models and containers - Deploy and manage generative models |
| Implement an agentic solution | 5-10% | - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types |
| Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Customize and deploy NLP models - Build conversational AI and chatbots - Implement translation and summarization |
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52. Frage
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
Use a single key and endpoint to access multiple services.
Consolidate billing for future services that you might use.
Support the use of Computer Vision in the future.
How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Reference:
https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create
https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/
53. Frage
You are developing a webpage that will use the Video Indexer service to display videos of internal company meetings.
You embed the Player widget and the Cognitive Insights widget into the page.
You need to configure the widgets to meet the following requirements:
* Ensure that users can search for keywords.
* Display the names and faces of people in the video.
* Show captions in the video in English (United States).
How should you complete the URL for each widget? 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.
Antwort:
Begründung:
Graphical user interface, text, application, Word, email Description automatically generated
54. Frage
You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all.
You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation
Text Description automatically generated with low confidence
Box 1: Text Analytics
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
Box 2: Translator
Translator is a cloud-based neural machine translation service that is part of the Azure Cognitive Services family of REST APIs. Translator can be used with any operating system and powers many Microsoft products and services used by thousands of businesses worldwide to perform language translation and other language-related operations.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview
55. Frage
You are building a chatbot for a Microsoft Teams channel by using the Microsoft Bot Framework SDK. The chatbot will use the following code.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Reference:
https://docs.microsoft.com/en-us/dotnet/api/microsoft.bot.builder.activityhandler.onmembersaddedasync?view=botbuilder-dotnet-stable
56. Frage
You have the following C# method for creating Azure Cognitive Services resources programmatically.
You need to call the method to create a free Azure resource in the West US Azure region. The resource will be used to generate captions of images automatically.
Which code should you use?
Antwort: A
Begründung:
The question is about creating an Azure Cognitive Services resource programmatically with C#.
Key requirements from the question:
Free resource # This requires the F0 (Free) pricing tier.
West US region # Location should be " westus " .
Generate captions of images automatically # This requires the Computer Vision service.
Option Analysis
A). create_resource(client, " res1 " , " ComputerVision " , " F0 " , " westus " ) Uses " ComputerVision " kind # Correct, because Computer Vision provides the image captioning feature.
Tier is " F0 " # Correct, free tier.
Location " westus " # Correct.
This is the correct answer.
B). create_resource(client, " res1 " , " CustomVision.Prediction " , " F0 " , " westus " ) Custom Vision is for building and deploying custom image classifiers.
The Prediction resource is specifically for running inference, not general captioning.
Wrong service for the requirement.
C). create_resource(client, " res1 " , " ComputerVision " , " S0 " , " westus " )
" ComputerVision " is correct.
But " S0 " is a paid tier, not the required free tier.
Does not meet the requirement.
D). create_resource(client, " res1 " , " CustomVision.Prediction " , " S0 " , " westus " ) Wrong service (captioning is not handled by Custom Vision).
Wrong tier (paid instead of free).
Incorrect.
The answer: A. create_resource(client, " res1 " , " ComputerVision " , " F0 " , " westus " ) Microsoft References Azure AI Computer Vision documentation Create a Cognitive Services resource in Azure Computer Vision capabilities - Image analysis and captioning
57. Frage
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