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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 (Q15-Q20):

NEW QUESTION # 15
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 16
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:

Explanation:
Box 1: Yes
Yes, image analysis capabilities in Azure Vision in Foundry Tools can perform optical character recognition (OCR). The built-in Read OCR engine extracts both printed and handwritten text in multiple languages and writing styles from images and documents.
Box 2: Yes
Yes, image analysis capabilities in Azure Vision in Foundry Tools can automatically generate concise one-sentence human-readable captions and descriptive content tags for thousands of recognizable objects, living beings, actions, and settings.
Box 3: No
Image analysis capabilities in Foundry Tools are designed to process, interpret, and extract insights from existing images, rather than create new ones.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-image-analysis


NEW QUESTION # 17
Your company has thousands of recorded customer support calls in multiple languages stored as audio files in Azure Storage.
You need to generate text transcripts of all the recordings.
Which Azure Speech in Foundry Tools capability should you use?

Answer: A

Explanation:
For this scenario, you should use the Speech-to-Text Batch Transcription feature in Azure AI Speech. It is specifically built to asynchronously transcribe large volumes of prerecorded audio files from Azure Blob Storage concurrently, reducing your overall turnaround time.
To address the requirement for multiple languages without knowing the language of each call in advance, you should configure the service to use an Automatic Multilingual Configuration (a multilingual model). This allows the Speech service to automatically detect and transcribe multiple spoken languages without requiring you to split files or submit language-specific requests.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/audio/overview


NEW QUESTION # 18
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:

Explanation:
Box 1: No
No, relying on a single method of user input does not provide an inclusive experience. True inclusivity requires supporting multiple interaction modes-such as text, voice, touch, and keyboard navigation-because a single-mode interface inevitably excludes users with specific physical, sensory, cognitive, or situational constraints.
Box 2: No
No, simply increasing the overall number of users does not automatically support an inclusive experience. Inclusive design requires that an AI system actively works for people of all backgrounds, abilities, and identities. High user volume can mask deep gaps where certain groups are left out or harmed.
Box 3: Yes
Designing an AI system for different languages supports inclusiveness by breaking down communication barriers, helping people access information easily, and making everyone feel welcome.
Equal Access: Everyone gets the same chance to use the system.
Clear Choices: Users can pick the language they know best.
Fair Treatment: No one is left out because of how they speak or write.
Reference:
https://www.mindinventory.com/blog/website-accessibility-best-practices/


NEW QUESTION # 19
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:


NEW QUESTION # 20
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