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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Create custom skills for Azure AI Search - Design document processing pipelines - Implement Azure AI Search solutions - Implement semantic and vector search |
| Topic 2: Implement Natural Language Processing Solutions | 20-25% | - Create conversational AI solutions with Azure AI Bot Service - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Build question answering solutions - Translate text and speech |
| Topic 3: Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
| Topic 4: Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies |
| Topic 5: Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Process video and generate insights - Read and process documents using Azure AI Document Intelligence - Implement Azure AI Face service - Analyze images using Azure AI Vision |
| Topic 6: Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques |
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NEW QUESTION # 418
You Have a chatbot that uses the Azure Al Language custom question answering service. The model used by the service was trained by using an internal support FAQ document.
You discover that the chatbot fails to provide correct answers to common questions.
You need to increase the accuracy of the responses provided by the chatbot. The solution must minimize development effort.
Which three actions should you perform in sequence from Language Studio? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION # 419
You develop an application that uses the Face API.
You need to add multiple images to a person group.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Stream
The File.OpenRead(String) method opens an existing file for reading.
Example: Open the stream and read it back.
using (FileStream fs = File.OpenRead(path))
Box 2: AddFaceFromStreamAsync
Step 5 on
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/how-to-add-faces
NEW QUESTION # 420
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: A
Explanation:
Explanation
https://azure.microsoft.com/en-us/pricing/details/cognitive-services/computer-vision/
NEW QUESTION # 421
You have an Azure subscription that contains an Azure Al Document Intelligence resource named DI1.
You create a PDF document named Test.pdf that contains tabular data.
You need to analyze Test.pdf by using DI1.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
To analyze a PDF document containing tabular data using the Azure AI Document Intelligence (formerly Form Recognizer) resource named DI1, you need to complete the command with the appropriate options.
Completing the Command:
1. Selecting the Prebuilt Model:
* Since you are dealing with a PDF document containing tabular data, the prebuilt-layout model is suitable for this scenario as it is designed to extract text, tables, and other key elements from documents.
2. Authentication Key:
* The header should use Ocp-Apim-Subscription-Key to specify the subscription key for authenticating the request.
curl -v -i POST
"{endpoint}/formrecognizer/documentModels/prebuilt-layout:analyze?api-version=2023-07-31" -H
"Content-Type: application/json" -H "Ocp-Apim-Subscription-Key: {yourkey}" --data-ascii "{ 'urlSource':
'test.pdf' }"
* {endpoint}: Replace with the endpoint URL of your Azure AI Document Intelligence resource.
* prebuilt-layout: The model used for analyzing documents with tabular data.
* api-version=2023-07-31: The API version being used.
* Ocp-Apim-Subscription-Key: The key used for authentication.
* 'urlSource': 'test.pdf': The source URL or file path of the document to be analyzed.
NEW QUESTION # 422
You are building a conversational language understanding model.
You need to enable active learning.
What should you do?
Answer: C
Explanation:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpoint- utterances#log-user-queries-to-enable-active-learning
NEW QUESTION # 423
......
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