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NEW QUESTION # 12
You are developing an application that records a user's voice and sends the recorded audio to a deployed multimodal model in Microsoft Foundry.
You need to send the user's request to the model.
What should you include in the request?
Answer: B
Explanation:
An audio input prompt must be included in the request when sending recorded voice directly to a native multimodal audio/speech model deployed in Microsoft Foundry.
Audio input prompt: Native multimodal models (such as audio-enabled GPT series deployed via Azure OpenAI in Microsoft Foundry Models) accept raw or base64-encoded audio directly as an input content type/modality in the inference payload.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/openai/audio-completions-quickstart
NEW QUESTION # 13
You are reviewing best practices for using AI at your company.
Which Microsoft responsible AI principle is each task an example of? To answer, drag the appropriate principles to the correct tasks. Each task 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 match is worth one point.
Answer:
Explanation:
Explanation:
* Fairness
* Privacy and security
* Transparency
* Reliability and safety
Comprehensive and Detailed Explanation with all Azure AI documents : =
Evaluating model outputs to ensure that decisions are NOT biased against specific demographic groups:
Fairness
Microsoft's responsible AI principle of fairness means AI systems should treat people fairly and avoid unfair bias across demographic groups.
Encrypting sensitive customer data and restricting system access to authorized personnel: Privacy and security The privacy and security principle requires AI systems to protect personal and sensitive data and prevent unauthorized access.
Informing users when they are interacting with an AI system and explaining the system's capabilities and limitations: Transparency The transparency principle requires that people understand when they are interacting with AI and understand the system's purpose, capabilities, and limitations.
Testing AI systems under different conditions to reduce unexpected failures: Reliability and safety The reliability and safety principle means AI systems should operate reliably and safely, including through testing and validation under expected and unexpected conditions.
NEW QUESTION # 14
You are developing an application that will coordinate a travel-booking workflow by gathering user preferences, searching for options, requesting approval, and booking services. The solution will maintain context across the steps.
Which type of Al workload is this an example of?
Answer: B
Explanation:
The described solution coordinates a multi-step workflow : gathering user preferences, searching for options, requesting approval, booking services, and maintaining context across steps. This is an example of Agentic AI
.
Agentic AI systems use AI agents to reason over user goals, maintain context, decide which actions to take, and use tools or services to complete tasks across multiple steps.
Why the other options are incorrect:
A). information extraction extracts structured data from content.
C). computer vision analyzes images or video.
D). generative AI creates new content, but the scenario specifically describes an autonomous, context-aware workflow with actions, which is Agentic AI .
NEW QUESTION # 15
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
A system prompt, also called a system message, is used to guide how a generative AI model behaves, including its tone, role, response style, and output format. Microsoft states that system messages help steer an Azure OpenAI chat model toward the desired behavior, tone, and output format.
Statement 1: System prompts can be used to authorize users. = No
Authorization is handled by application identity, access control, authentication, and security configuration. A system prompt can guide model behavior, but it is not an authorization mechanism.
Statement 2: A system prompt is used to reduce tokens per minute (TPM). = No TPM is a quota or throughput setting for model deployments. A system prompt does not reduce or configure TPM.
Statement 3: A system prompt guides the behavior of a generative AI model. = Yes This is correct. Microsoft documentation says system messages help steer the model's behavior, tone, and output format.
NEW QUESTION # 16
You are developing an application that processes voicemail recordings by using Azure Content Understanding in Foundry Tools. Which feature does Azure Content Understanding use to convert audio to text?
Answer: C
Explanation:
To convert audio to text for voicemail recordings in Azure Content Understanding, you should use the Transcription feature. This core capability leverages the Speech to Text service to automatically convert conversational audio into highly accurate, analyzable text.
Key Transcription Capabilities for Voicemails
Fast Transcription: Designed for applications that require predictable latency and rapid, near real- time conversion for shorter audio files like voicemails.
Text Formatting: Outputs text in structured, searchable formats (like WebVTT) with optional sentence- or word-level timestamps.
Multilingual Options: Automatically detects or locks to specific locales to accommodate diverse callers.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/audio/overview
NEW QUESTION # 17
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