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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.
Topic 2
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.

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Microsoft Azure AI Fundamentals Sample Questions (Q42-Q47):

NEW QUESTION # 42
Hotspot Question
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:


NEW QUESTION # 43
For each of the following statement1, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Statement 1: Voice Live returns only transcribed text. = No
Voice Live is not limited to returning transcribed text. It is designed for real-time spoken conversational experiences and can include speech input, model reasoning, and spoken output.
Statement 2: Voice Live requires you to separately implement speech to text and text to speech services.
= No
Voice Live combines the conversational voice pipeline, so you do not need to separately build independent speech-to-text and text-to-speech services for the same real-time voice experience.
Statement 3: Voice Live combines speech to text, reasoning, and text to speech into a single conversational experience. = Yes This statement is correct. Voice Live is used for real-time conversational AI experiences where spoken input is processed, the model reasons over the request, and spoken output can be returned.


NEW QUESTION # 44
For each of the following statement1, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Statement 1: Voice Live returns only transcribed text. = No
Voice Live is not limited to returning transcribed text. It is designed for real-time spoken conversational experiences and can include speech input, model reasoning, and spoken output.
Statement 2: Voice Live requires you to separately implement speech to text and text to speech services. = No Voice Live combines the conversational voice pipeline, so you do not need to separately build independent speech-to-text and text-to-speech services for the same real-time voice experience.
Statement 3: Voice Live combines speech to text, reasoning, and text to speech into a single conversational experience. = Yes This statement is correct. Voice Live is used for real-time conversational AI experiences where spoken input is processed, the model reasons over the request, and spoken output can be returned.


NEW QUESTION # 45
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:
* No
* Yes
* No
Comprehensive and Detailed Explanation with all Azure AI documents : =
Statement 1: Speech synthesis converts spoken audio into written text. = No Speech synthesis, also called text to speech , converts written text into spoken audio. Converting spoken audio into written text is speech recognition or speech to text .
Statement 2: Speech recognition can detect and transcribe spoken input. = Yes Speech recognition is used to identify spoken language in audio and convert it into text.
Statement 3: Text to speech in Azure Speech in Foundry Tools can translate text input into audible speech in a different language. = No Text to speech converts text into spoken audio. Translation into another language is a separate translation capability, not standard text-to-speech synthesis.


NEW QUESTION # 46
You have an Azure subscription that uses Azure OpenAI.
You need to create an original image of a rural scene to use on a website.
What should you do?

Answer: C

Explanation:
Azure OpenAI in Azure AI Foundry Models
Image generation models
The image generation models generate images from text prompts that the user provides. GPT- image-1 is in limited access public preview. DALL-E 3 is generally available for use with the REST APIs. DALL-E 2 and DALL-E 3 with client SDKs are in preview.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models


NEW QUESTION # 47
......

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