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| Section | Objectives |
|---|---|
| Implement Natural Language Processing Solutions | - Analyze text using Azure AI Language - Translate and interpret language using Azure AI services - Implement question answering and conversational AI |
| Implement Knowledge Mining and Document Intelligence | - Build Azure AI Search solutions - Enrich and index data for search scenarios - Implement document intelligence solutions |
| Plan and Manage an Azure AI Solution | - Manage security, compliance, and responsible AI - Select appropriate Azure AI services - Plan solution requirements and architecture |
| Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Integrate prompt engineering techniques - Implement Azure OpenAI Service solutions |
| Implement Computer Vision Solutions | - Implement custom vision models - Analyze images and videos using Azure AI Vision - Extract information using OCR and form recognition |
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NEW QUESTION # 361
You build a QnA Maker resource to meet the chatbot requirements.
Which RBAC role should you assign to each group? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Cognitive Service User
Ensure that the members of a group named Management-Accountants can approve the FAQs.
Approve=publish.
Cognitive Service User (read/write/publish): API permissions: All access to Cognitive Services resource except for ability to:
1. Add new members to roles.
2. Create new resources.
Box 2: Cognitive Services QnA Maker Editor
Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
QnA Maker Editor: API permissions:
1. Create KB API
2. Update KB API
3. Replace KB API
4. Replace Alterations
5. "Train API" [in new service model v5]
Box 3: Cognitive Services QnA Maker Read
Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
QnA Maker Read: API Permissions:
1. Download KB API
2. List KBs for user API
3. Get Knowledge base details
4. Download Alterations
Generate Answer
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/role-based-access-control
NEW QUESTION # 362
You are building a solution that students will use to find references for essays. You use the following code to start building the solution.
For each of the following statements, select Yes is the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* The code will detect the language of documents.
* The method used is RecognizeLinkedEntities .
* This extracts linked entities and provides Wikipedia references but does not perform language detection.
* For language detection, you must call DetectLanguage() .
* Answer: No
* The url attribute returned for each linked entity will be a Bing search link.
* The RecognizeLinkedEntities API returns a Url property for each entity that points to the Wikipedia page of the entity.
* It does not return Bing links.
* Answer: No
* The matches attribute returned for each linked entity will provide the location in a document where the entity is referenced.
* The matches collection contains objects with offset and length properties, which indicate where in the text the entity appeared.
* This is correct.
* Answer: Yes
Statements Analysis
* The code will detect the language of documents # No
* The url attribute returned for each linked entity will be a Bing search link # No
* The matches attribute returned for each linked entity will provide the location in a document where the entity is referenced # Yes Verified Answer
* Azure Text Analytics - Recognize linked entities
* Text Analytics .NET SDK: RecognizeLinkedEntities
Microsoft References
NEW QUESTION # 363
You have an Azure subscription that contains an Azure Al Content Safety resource.
You are building a social media app that will enable users to share images.
You need to configure the app to moderate inappropriate content uploaded by the users.
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:
The question describes:
* An Azure subscription with an Azure AI Content Safety resource.
* A social media application where users can upload images.
* The requirement is to moderate inappropriate content in those uploaded images.
In Azure AI Content Safety SDKs:
* You create a ContentSafetyClient by providing the endpoint and key.
* The ContentSafetyClient exposes methods such as:
* AnalyzeText() # For text moderation
* AnalyzeImage() # For image moderation
Let's review the code structure:
public static void Analyze(AnalyzeImageOptions request)
{
var endpoint = Environment.GetEnvironmentVariable("ENDPOINT");
var key = Environment.GetEnvironmentVariable("KEY");
var client = new ContentSafetyClient(new Uri(endpoint), new AzureKeyCredential(key)); return client.AnalyzeImage(request);
}
* First dropdown: must be ContentSafetyClient to instantiate the correct client for Azure AI Content Safety.
* Second dropdown: since the requirement is image moderation, we must call client.AnalyzeImage (request).
Other options:
* BlocklistClient # used for custom blocklists, not full moderation.
* TextCategoriesAnalysis # refers to text analysis categories, not suitable here.
* AnalyzeText # would be used only for text moderation.
Therefore, the correct completion is:
* ContentSafetyClient
* client.AnalyzeImage(request)
* First dropdown: ContentSafetyClient
* Second dropdown: client.AnalyzeImage(request)
* Azure AI Content Safety - Analyze images
* Azure AI Content Safety SDK documentation
* ContentSafetyClient class
Microsoft References
NEW QUESTION # 364
You have an Azure subscription that contains an Azure AI Document intelligence resource named D1.
You create a PDF document named test.pdf that contain tabular data.
You need to analyze Test.pdf by using DI1.
How should you complete the command? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Step 1: The Authorization Header
When calling Azure AI Document Intelligence REST API, the correct header to authenticate is:
-H " Ocp-Apim-Subscription-Key: {yourKey} "
Key1 and Secret are not valid header names.
Subscription-Key is also not the standard header.
Correct choice: Ocp-Apim-Subscription-Key
Step 2: Selecting the Prebuilt Model
Since the file contains tabular data (tables, structured document), the right prebuilt model is:
prebuilt-document # extracts text, tables, structure, key-value pairs.
prebuilt-contract # specialized for contracts.
prebuilt-layout # extracts layout, lines, and words but not tables in structured form.
prebuilt-read # simple OCR only.
So the correct choice is: prebuilt-document
Final Completed Command
curl -i -X POST " {endpoint}/formrecognizer/documentModels/prebuilt-document:analyze?api-version=2023-
07-31 " \
-H " Content-Type: application/json " \
-H " Ocp-Apim-Subscription-Key: {yourKey} " \
-d " { ' urlSource ' : ' https:// < your-storage > /test.pdf ' } "
Verified Answer:
Left box: Ocp-Apim-Subscription-Key
Right box: prebuilt-document
Microsoft References:
Azure AI Document Intelligence REST API
Prebuilt Document model
NEW QUESTION # 365
You are designing a conversation flow to be used in a chatbot.
You need to test the conversation flow by using the Microsoft Bot Framework Emulator.
How should you complete the .chat file? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-add-media-attachments?view=azure- bot-service-4.0&tabs=csharp
NEW QUESTION # 366
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