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| Section | Weight | Objectives |
|---|---|---|
| Plan and manage an Azure AI solution | 20-25% | - Plan solutions aligned with responsible AI principles - Create and configure Azure AI resources - Monitor, optimize, and secure AI solutions - Select appropriate Microsoft Foundry Services - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Select suitable AI models |
| Implement computer vision solutions | 10-15% | - Integrate vision capabilities into applications - Analyze images and detect objects/features - Process and index video content - Extract text and handwriting from images - Build and deploy custom vision models |
| Implement knowledge mining and information extraction solutions | 15-20% | - Extract entities, relationships, and key phrases - Ingest and process structured/unstructured data - Implement intelligent search and retrieval - Build knowledge bases and search indexes |
| Implement generative AI solutions | 15-20% | - Deploy and manage generative models - Integrate Azure OpenAI and other generative models - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning - Implement model monitoring and feedback |
| Implement an agentic solution | 5-10% | - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents |
| Implement natural language processing solutions | 15-20% | - Build conversational AI and chatbots - Perform text analysis, sentiment detection, and language detection - Customize and deploy NLP models - Implement translation and summarization |
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NEW QUESTION # 87
You have a Speech resource and a bot that was built by using the Microsoft Bot Framework Composer.
You need to add support for speech-based channels to the bot.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C,F
NEW QUESTION # 88
You have an Azure subscription that contains an Azure OpenAI resource named All and a user named User1 You need to ensure that User1 can perform the following actions in Azure OpenAI Studio;
* Identify resource endpoints.
* View models that are available for deployment.
* Generate text and images by using the deployed models
The solution must follow the principle of least privilege Which role should you assign to User1?
Answer: B
Explanation:
The Cognitive Services OpenAI User role grants least-privilege read/use permissions: view resource endpoints, list available models, use existing deployments in Azure OpenAI Studio (e.g., generate text and images ). It cannot create or manage deployments (that would require Cognitive Services OpenAI Contributor ), satisfying least-privilege.
References
Azure OpenAI built-in roles: OpenAI User vs OpenAI Contributor .
https://learn.microsoft.com/azure/ai-services/openai/how-to/role-based-access-control Azure RBAC for Azure AI services.
https://learn.microsoft.com/azure/ai-services/role-based-access-control?tabs=azure-portal
NEW QUESTION # 89
You are developing an internet-based training solution for remote learners.
Your company identifies that during the training, some learners leave their desk for long periods or become distracted.
You need to use a video and audio feed from each learner's computer to detect whether the learner is present and paying attention. The solution must minimize development effort and identify each learner.
Which Azure Cognitive Services service should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/what-are-cognitive-services
NEW QUESTION # 90
You have a monitoring solution that uses the Azure Al Anomaly Detector service.
You provision a server named Server! that has intermittent internet access.
You need to deploy the Azure Al Anomaly Detector to Server 1.
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.
Answer:
Explanation:
Explanation:
The requirement:
* You are using Azure AI Anomaly Detector.
* You need to deploy it on Server1, which has intermittent internet access.
* This means you need to run the service locally using containers (Docker).
Step 1 - Install Docker Engine
* Before pulling or running any containers, Docker must be installed on Server1.
* Without Docker Engine, no container can be deployed.
Step 2 - Pull the container image
* Use docker pull to download the Anomaly Detector container image from Microsoft Container Registry.
* This requires internet access, so it should be done when connectivity is available.
Step 3 - Run the container
* After pulling the image, use docker run to start the Anomaly Detector container.
* This exposes a local REST API endpoint on Server1.
Step 4 - Query the local endpoint
* Once the container is running, you can query the prediction endpoint on Server1.
* This allows local inference without requiring continuous internet access.
Correct Sequence:
* Install the Docker Engine on Server1.
* From Server1, run the docker pull command.
* From Server1, run the docker run command.
* Query the prediction endpoint on Server1.
* Use Azure AI Anomaly Detector on containers
* Deploy Azure AI services in Docker containers
* Anomaly Detector container setup
NEW QUESTION # 91
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?
Answer: B
Explanation:
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
NEW QUESTION # 92
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