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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Apply responsible AI practices - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI |
| Topic 2: Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
| Topic 3: Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions |
| Topic 4: Implement Computer Vision Solutions | 15-20% | - Process video and generate insights - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision - Implement object detection and image classification |
| Topic 5: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Design document processing pipelines - Create custom skills for Azure AI Search - Implement Azure AI Search solutions - Implement semantic and vector search |
| Topic 6: Implement Natural Language Processing Solutions | 20-25% | - Analyze text using Azure AI Language - Create conversational AI solutions with Azure AI Bot Service - Translate text and speech - Implement speech capabilities using Azure AI Speech - Build question answering solutions |
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NEW QUESTION # 148
Drag and Drop Question
You have a Custom Vision resource named acvdev in a development environment.
You have a Custom Vision resource named acvprod in a production environment.
In acvdev, you build an object detection model named obj1 in a project named proj1.
You need to move obj1 to acvprod.
Which three 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:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/copy-move- projects
NEW QUESTION # 149
You are building a Conversational Language Understanding model.
You need to ensure that the model will support the following sample utterances:
* Set all the lights to on.
* Turn off the lights in the living room.
* What is the current thermostat temperature?
* Lower the temperature of the thermostat by five degrees.
Which three elements should you add to the model?
Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: A,D,E
Explanation:
We need to design a Conversational Language Understanding (CLU) model for smart home commands.
The sample utterances:
* "Set all the lights to on." # Intent = change setting, Entity = device (lights)
* "Turn off the lights in the living room." # Intent = change setting, Entities = device (lights) + location (living room)
* "What is the current thermostat temperature?" # Intent = query setting, Entity = device (thermostat)
* "Lower the temperature of the thermostat by five degrees." # Intent = change setting, Entity = device (thermostat)
* Intents needed:
* Change setting intent (D): Covers actions like turning devices on/off, lowering temperature.
* Query setting intent (E): Covers questions about current state, like "What is the thermostat temperature?"
* Entities needed:
* Device entity (F): Identifies devices such as lights and thermostat.
* A. a location intent # Location (like "living room") should be modeled as an entity, not an intent.
* B. a change setting entity # Change setting is an action (intent), not an entity.
* C. a device intent # Devices are entities, not intents.
D). a change setting intent
E). a query setting intent
F). a device entity
* Intents and entities in CLU
* CLU model design best practices
NEW QUESTION # 150
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.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/detectwithurl
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar
NEW QUESTION # 151
You have a Computer Vision resource named contoso1 that is hosted in the West US Azure region.
You need to use contoso1 to make a different size of a product photo by using the smart cropping feature.
How should you complete the API URL? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 152
You have 100 chatbots that each has its own Language Understanding model.
Frequently, you must add the same phrases to each model.
You need to programmatically update the Language Understanding models to include the new phrases.
How should you complete the code? 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.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/client-libraries-rest-api
NEW QUESTION # 153
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