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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 (Q120-Q125):

NEW QUESTION # 120
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 # 121
What are two common use cases for generative AI solutions? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Answer: B,C

Explanation:
B: Generative AI tools can assist customer service agents by automatically drafting responses to customer inquiries, providing personalized and context-aware solutions. This helps agents improve efficiency, reduce workload, and enhance customer satisfaction.
D: DALL E3, developed by OpenAI, is a cutting-edge generative AI model designed to create images from text descriptions.
Reference:
https://medium.com/@eastgate/top-7-generative-ai-models-tools-for-text-image-and-video-creation-237a0de231b1


NEW QUESTION # 122
Based on the image provided, here is the transcribed text:
You need to build an AI solution that produces new product images based on written descriptions provided by users.
Which AI workload should you use?

Answer: A

Explanation:
The requirement is to produce new product images based on written descriptions. This is an image generation workload, because the AI system is creating entirely new images from natural language prompts.
Why the other options are incorrect:
B . image analysis is used to examine and interpret existing images.
C . object detection is used to identify and locate objects within an existing image.
D . optical character recognition (OCR) is used to extract text from images or scanned documents.
Since the solution must generate new visual content from user-provided descriptions, the correct answer is:
A . image generation


NEW QUESTION # 123
Capturing text from images is an example of which type of AI capability?

Answer: B

Explanation:
Optical Character Recognition (OCR) is a technology that converts images of text (like scanned documents or photos) into machine-readable, editable text. It's used to extract text from various sources and make it accessible for digital editing, searching, and other manipulations.
Reference:
https://www.ibm.com/think/topics/optical-character-recognition


NEW QUESTION # 124
You are developing an application that analyzes voicemail recordings by using Azure Content Understanding in Foundry Tools.
You need to extract a transcript and structured information from the recordings.
Which type of analyzer should you use?

Answer: B

Explanation:
Voicemail recordings are audio content. Azure Content Understanding analyzers define what type of content to process, including documents, images, audio, or video, and what elements to extract, including transcripts and structured fields.
Microsoft's custom analyzer documentation also shows an audio example based on prebuilt-audio for processing customer support call recordings, which is the same content type as voicemail recordings.
Therefore, to extract a transcript and structured information from voicemail recordings, you should use an audio analyzer.


NEW QUESTION # 125
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