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| Section | Weight | Objectives |
|---|---|---|
| Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies - Manage AI costs and resource allocation |
| Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - 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 |
| 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 |
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Create custom skills for Azure AI Search - Implement semantic and vector search - Design document processing pipelines - Implement Azure AI Search solutions |
| Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Monitor and optimize decision support solutions - Integrate Azure AI services into applications |
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NEW QUESTION # 376
You are developing the shopping on-the-go project.
You need to build the Adaptive Card for the chatbot.
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:
NEW QUESTION # 377
You have an Azure Cognitive Search resource named Search 1 that is used by multiple apps You need to secure Search 1. The solution must meet the following requirements:
* Prevent access to Search1 from the internet.
* Limit the access of each app to specific queries
What should you do? To answer, select the appropriate options in the answer area NOTE Each correct answer is worth one point.
Answer:
Explanation:
Explanation:
You are securing an Azure Cognitive Search resource with two specific requirements:
Prevent access to Search1 from the internet
The correct way is to use a private endpoint.
A private endpoint connects the Cognitive Search resource directly into your virtual network (VNet), blocking public internet access.
Configuring an IP firewall can restrict access to specific IP ranges but does not fully prevent internet access.
Azure roles and authentication do not address network-level restrictions.
Limit the access of each app to specific queries
This is done via Azure role-based access control (RBAC).
You can assign different Azure roles or API keys with query rights to control what each app can do.
Key authentication alone only provides coarse-grained access (admin/query keys) but does not allow fine- grained per-app restrictions.
RBAC ensures principle of least privilege is enforced.
The Answer:
Prevent access from internet # Create a private endpoint
Limit access to queries # Use Azure roles
Microsoft References
Secure access to Azure Cognitive Search using private endpoints
Role-based access control in Azure Cognitive Search
NEW QUESTION # 378
SIMULATION
You need to create a Azure AI Document Intelligence resource named fr12345678.
Use the Azure AI Document Intelligence sample labeling tool at https://fott-2-1.azurewebsites.net/ to analyze the invoice located in the C:\Resources\Invoices folder.
Save the results as C:\Resources\Invoices\Results.json.
To complete this task, sign in to the Azure portal and open the Azure AI Document Intelligence sample labeling tool.
Answer:
Explanation:
Step 1: Sign in to the Azure Portal.
Step 2: Navigate to the Azure AI Document Intelligence Sample Tool (at https://fott-2-
1.azurewebsites.net)
Step 3: On the sample tool home page select Use prebuilt model to get data.
Step 4: Select the Form Type you would like to analyze from the dropdown window.
Step 5: In the Source: URL field, paste the selected URL and select the Fetch button.
Step 6: In the Choose file for analysis use the file in the C:\Resources\Invoices folder and select the Fetch button.
Step 7: Select Run analysis. The Azure AI Document Intelligence Sample Labeling tool will call the Analyze Prebuilt API and analyze the document.
Step 8: View the results - see the key-value pairs extracted, line items, highlighted text extracted and tables detected.
Step 9: Save the results as C:\Resources\Invoices\Results.json.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/quickstarts/try- sample-label-tool
NEW QUESTION # 379
You develop a custom question answering project in Azure Al Language. The project will be used by a chatbot.
You need to configure the project to engage in multi-turn conversations. What should you do?
Answer: A
Explanation:
Comprehensive Detailed Explanation You are working with a custom question answering project in Azure AI Language (formerly QnA Maker). The requirement is to enable the chatbot to engage in multi-turn conversations.
* Multi-turn conversation: This occurs when a bot needs to ask clarifying questions or present follow-up options to guide the user toward the right answer.
Now let's evaluate the options:
* A. Add alternate questions
* Alternate questions help improve query matching by allowing different phrasings of the same question.
* This does not enable multi-turn dialogue.
* B. Enable chit-chat
* Chit-chat adds conversational personality (e.g., greetings, small talk).
* Useful for user engagement but not for structured multi-turn dialogues.
* C. Add follow-up prompts #
* Follow-up prompts allow you to define next-step questions after an answer.
* They are the key mechanism in custom question answering to enable multi-turn conversation flows.
* Example: If the answer is about " subscriptions, " the follow-up prompts might include " How to upgrade? " or " How to cancel? "
* D. Enable active learning
* Active learning helps improve accuracy by suggesting alternative phrasing for questions based on user feedback.
* This is for model refinement, not multi-turn conversation.
Thus, the correct way to configure the project for multi-turn conversations is to add follow-up prompts.
C). Add follow-up prompts
* Custom question answering in Azure AI Language - Multi-turn conversations
* Custom question answering overview
Microsoft References
NEW QUESTION # 380
You are building an Azure web app named App1 that will translate text from English to Spanish.
You need to use the Text Translation REST API to perform the translation. The solution must ensure that you have data sovereignty in the United States.
How should you complete the URI? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
1. api-nam.cognitive.microsofttranslator.com
2. translate
https://learn.microsoft.com/en-us/azure/cognitive-services/Translator/reference/v3-0-reference#base-urls Requests to Translator are, in most cases, handled by the datacenter that is closest to where the request originated. If there's a datacenter failure when using the global endpoint, the request may be routed outside of the geography.
To force the request to be handled within a specific geography, use the desired geographical endpoint. All requests are processed among the datacenters within the geography.
- United States
api-nam.cognitive.microsofttranslator.com
https://learn.microsoft.com/en-us/azure/cognitive-services/translator/reference/rest-api-guide
- translate
Translate specified source language text into the target language text.
NEW QUESTION # 381
......
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