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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.

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Microsoft Azure AI Fundamentals Sample Questions (Q98-Q103):

NEW QUESTION # 98
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 thousands of recorded support calls stored as audio files in Azure Storage, the correct capability is speech to text batch transcription.
Microsoft states that batch transcription is designed to transcribe a large amount of audio data in storage, including audio files in Azure Blob Storage, and that files can be processed concurrently to reduce turnaround time.
Real-time transcription is for live audio, not large stored batches. Text to speech converts text into audio. Speech translation translates speech between languages, but the requirement is to generate transcripts.


NEW QUESTION # 99
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments. This is an example of which Microsoft guiding principle for responsible AI?

Answer: B

Explanation:
An AI system designed to empower everyone, including people with hearing, visual, and other impairments, is a direct example of the inclusiveness guiding principle for responsible AI.
Accessibility: It ensures technology adapts to human needs rather than forcing humans to adapt to technology.
Equal Opportunity: It provides users of all abilities with the same access to information, tools, and digital experiences.
Diverse Design: It reflects a development process that intentionally considers and incorporates the needs of historically underserved populations.
Reference:
https://uitop.design/blog/design/inclusive-design/


NEW QUESTION # 100
Which action can be performed by using the Azure Vision in Foundry Tools service?

Answer: A

Explanation:
The Azure Vision in Foundry Tools service can extract both printed and handwritten text from various surfaces, documents, and letters using its advanced Optical Character Recognition (OCR) and Read model capabilities.
Key Details for Handwriting Extraction
Read API Capability: Utilizes deep-learning models built to process irregular spacing, slants, and cursive writing styles found on letters, notes, and whiteboards.
Supported Languages for Handwriting: Supports specific languages for cursive and printed handwriting including English, Chinese Simplified, French, German, Italian, Japanese, Korean, Portuguese, and Spanish.
Output Data Structure: Returns recognized content categorized clearly into pages, text lines, and words, complete with bounding box coordinates and confidence scores.
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry/tools/vision


NEW QUESTION # 101
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 102
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 # 103
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