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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 (Q114-Q119):

NEW QUESTION # 114
You are developing an application that converts text into spoken audio and saves the synthesized audio to a file by using Azure Speech in Foundry Tools.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 115
Which action can be performed by using the Azure AI Vision service?

Answer: D

Explanation:
Azure AI Vision is a service within Azure Cognitive Services that enables developers to analyze visual data from images and videos. It includes OCR (Optical Character Recognition) capabilities, allowing you to extract text (both printed and handwritten) from images, PDFs, and scanned documents.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-ocr


NEW QUESTION # 116
Hotspot Question
You are developing a voice application that listens for spoken commands and converts them into text by using Azure Speech in Foundry Tools.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 117
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 118
Stating the source of the data used to train a model is an example of which responsible AI principle?

Answer: C

Explanation:
Transparency in AI refers to openly sharing information about how an AI system is designed, trained, and operates. Stating the source of the data used to train a model is an example of transparency, as it provides clarity about the origins of the data and helps stakeholders understand the model's development process.


NEW QUESTION # 119
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