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| Section | Weight | Objectives |
|---|---|---|
| Implement knowledge mining and information extraction solutions | 15-20% | - Implement intelligent search and retrieval - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes - Ingest and process structured/unstructured data |
| Plan and manage an Azure AI solution | 20-25% | - Plan solutions aligned with responsible AI principles - Select appropriate Microsoft Foundry Services - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Monitor, optimize, and secure AI solutions - Create and configure Azure AI resources - Select suitable AI models |
| Implement natural language processing solutions | 15-20% | - Build conversational AI and chatbots - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization |
| Implement an agentic solution | 5-10% | - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents |
| Implement computer vision solutions | 10-15% | - Extract text and handwriting from images - Process and index video content - Analyze images and detect objects/features - Build and deploy custom vision models - Integrate vision capabilities into applications |
| Implement generative AI solutions | 15-20% | - Orchestrate multiple models and containers - Deploy and manage generative models - Integrate Azure OpenAI and other generative models - Implement model monitoring and feedback - Apply prompt engineering and fine-tuning |
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NEW QUESTION # 277
You have an Azure subscription that contains an Azure Al Content Safety resource named CS1.
You need to call CS1 to identify whether a user request contains hateful language.
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:
NEW QUESTION # 278
You are building a social media messaging app.
You need to identify in real time the language used in messages.
Which SDK package should you install?
Answer: A
Explanation:
https://learn.microsoft.com/en-us/dotnet/api/azure.ai.translation.text.detectedlanguage
https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-identification
https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/quickstart/client-library-sdk
NEW QUESTION # 279
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 280
You are building an app that will use the Azure AI Speech service.
You need to ensure that the app can authenticate to the service by using a Microsoft Entra ID token.
Which two action should you perform? Each answer part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
You are developing an app that uses the Azure AI Speech service , and you must ensure the app can authenticate using a Microsoft Entra ID (Azure AD) token , rather than the standard key-based authentication.
According to the official Microsoft documentation :
"To authenticate with a Microsoft Entra token, the Speech resource must have a custom subdomain and use a private endpoint. The Speech service uses custom subdomains with private endpoints only."
- Microsoft Learn: Azure AI Speech service - Role-based access control
Therefore, two prerequisites must be configured for Entra ID token-based authentication:
1. Create (Certify) a Custom Subdomain (Option D)
When you create an Azure AI Speech resource, you can specify a custom subdomain name (e.g., contoso.
cognitiveservices.azure.com).
The custom subdomain ensures that each Speech endpoint has a unique URL.
Microsoft Entra token authentication depends on this subdomain for token validation.
Without a custom subdomain, Entra ID tokens cannot be used for authentication.
Hence, this is required.
2. Create a Private Endpoint (Option B)
For Microsoft Entra ID authentication, the Speech resource must be secured within a private endpoint .
Private endpoints provide a secure, private connection from your virtual network to the Azure AI Speech resource.
The Speech service only supports Entra ID token authentication when the resource is configured with a private endpoint.
Hence, this is required.
Why Not the Other Options:
A). Create a Conditional Access - Conditional Access policies restrict user access but do not configure token authentication for services.
C). Request an X.509 certificate - Certificates are not used for Speech service authentication.
E). Enable a virtual network service endpoint - The Speech service uses private endpoints , not service endpoints, for Entra ID token authentication.
NEW QUESTION # 281
You are developing a text processing solution.
You have the function shown below.
Answer:
Explanation:
NEW QUESTION # 282
......
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