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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Process video and generate insights - Implement Azure AI Face service - Analyze images using Azure AI Vision - Read and process documents using Azure AI Document Intelligence |
| Topic 2: Implement Natural Language Processing Solutions | 20-25% | - Create conversational AI solutions with Azure AI Bot Service - Translate text and speech - Analyze text using Azure AI Language - Build question answering solutions - Implement speech capabilities using Azure AI Speech |
| Topic 3: Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Manage AI costs and resource allocation - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies |
| Topic 4: Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Monitor and optimize decision support solutions - Integrate Azure AI services into applications |
| Topic 5: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Design document processing pipelines - Implement Azure AI Search solutions - Create custom skills for Azure AI Search |
| Topic 6: Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Implement prompt engineering techniques - Apply responsible AI practices - Integrate Azure OpenAI models into applications |
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NEW QUESTION # 174
You are developing the shopping on-the-go project.
You are configuring access to the QnA Maker resources.
Which role should you assign to AllUsers and LeadershipTeam? 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/qnamaker/reference-role-based-access-control
NEW QUESTION # 175
You are building content for a video training solution.
You need to create narration to accompany the video content. The solution must use Custom Neural Voice.
What should you use to create a custom neural voice, and which service should you use to generate the narration? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 176
You are building a retail chatbot that will use a QnA Maker service.
You upload an internal support document to train the model. The document contains the following question: "What is your warranty period?" Users report that the chatbot returns the default QnA Maker answer when they ask the following question: "How long is the warranty coverage?" The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?" Both questions should return the same answer.
You need to increase the accuracy of the chatbot responses.
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. (Choose three.)
Answer:
Explanation:
Explanation:
Step 1: Add alternative phrasing to the question and answer (QnA) pair.
Add alternate questions to an existing QnA pair to improve the likelihood of a match to a user query.
Step 2: Retrain the model.
Periodically select Save and train after making edits to avoid losing changes.
Step 3: Republish the model
Note: A knowledge base consists of question and answer (QnA) pairs. Each pair has one answer and a pair contains all the information associated with that answer.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base
NEW QUESTION # 177
You have a library that contains thousands of images.
You need to tag the images as photographs, drawings, or clipart.
Which service endpoint and response property should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Service endpoint # Computer Vision analyze images
Property # imageType
The task:
"You have a library with thousands of images. You need to tag the images as photographs, drawings, or clipart."
* Which service endpoint?
* Computer Vision analyze images # Provides a broad analysis including categories, tags, descriptions, and image type (photo, drawing, clipart). #
* Computer Vision object detection # Identifies objects (people, cars, animals), not image type.
* Custom Vision image classification / object detection # Requires custom training, not needed since the built-in Computer Vision service already supports this.
Correct: Computer Vision analyze images
* Which property?
* categories # Provides predefined categories (e.g., outdoor, indoor, people), not specifically drawing/clipart/photo.
* description # Generates captions in natural language, not classification into photo/drawing/clipart.
* imageType # Identifies if an image is a photograph, line drawing, or clipart. #
* metadata # Provides size, format, dimensions.
* objects # Lists detected objects, not image type.
Correct: imageType
The answer:
* Service endpoint # Computer Vision analyze images
* Property # imageType
* Computer Vision Analyze API
* ImageType property in Computer Vision
NEW QUESTION # 178
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 # 179
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