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Microsoft AI-901 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement AI solutions by using Microsoft Foundry55-60%- Work with models in Microsoft Foundry
  • 1. Customize models with prompt engineering
  • 2. Discover and deploy foundation models
  • 3. Evaluate model performance and safety
  • 4. Fine-tune models
- Implement AI solutions
  • 1. Implement single-agent solutions
  • 2. Monitor and manage AI solutions
  • 3. Integrate AI services into applications
  • 4. Use code examples to call AI services
- Get started with Microsoft Foundry
  • 1. Describe core features and use cases of Microsoft Foundry
  • 2. Create and configure a Foundry project
  • 3. Navigate the Microsoft Foundry portal
Topic 2: Identify AI concepts and responsibilities40-45%- Describe principles of responsible AI
  • 1. Describe transparency considerations
  • 2. Describe reliability and safety considerations
  • 3. Describe inclusiveness considerations
  • 4. Describe privacy and security considerations
  • 5. Describe fairness considerations
  • 6. Describe accountability considerations
- Identify AI concepts and features
  • 1. Describe capabilities of machine learning
  • 2. Describe capabilities of natural language processing
  • 3. Describe characteristics of generative AI
  • 4. Describe types of AI workloads
  • 5. Describe capabilities of computer vision
- Identify AI model components and configurations
  • 1. Describe data preparation for AI models
  • 2. Describe model deployment and consumption concepts
  • 3. Describe model training and evaluation concepts

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Free PDF Trustable Microsoft - AI-901 - Exam Microsoft Azure AI Fundamentals Cram

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Microsoft Azure AI Fundamentals Sample Questions (Q115-Q120):

NEW QUESTION # 115
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 # 116
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: D

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 # 117
Select the answer that correctly complete the sentence.

Answer:

Explanation:

Explanation:

The completed sentence is:
Information extraction solutions that detect and read text in scanned documents and images rely on computer vision .
Detecting and reading text in scanned documents and images is typically done with OCR , which is a computer vision capability. Microsoft describes OCR as text recognition/text extraction that extracts printed or handwritten text from images and documents.


NEW QUESTION # 118
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 119
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 # 120
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