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Microsoft AI-900 dumps - in .pdf

AI-900 pdf
  • Exam Code: AI-900
  • Exam Name: Microsoft Azure AI Fundamentals
  • Updated: Oct 13, 2026
  • Q & A: 336 Questions and Answers
  • Convenient, easy to study.
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  • Exam Code: AI-900
  • Exam Name: Microsoft Azure AI Fundamentals
  • Updated: Oct 13, 2026
  • Q & A: 336 Questions and Answers
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Microsoft AI-900 dumps - Testing Engine

AI-900 Testing Engine
  • Exam Code: AI-900
  • Exam Name: Microsoft Azure AI Fundamentals
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  • Q & A: 336 Questions and Answers
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Certification Topics of Microsoft AI-900 Exam

Our Microsoft AI-900 exam dumps covers the following objectives of Microsoft AI-900 Exam.

  • Describe AI workloads and considerations (15-20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
  • Describe features of conversational AI workloads on Azure (15-20%)
  • Describe features of computer vision workloads on Azure (15-20%)
  • Describe fundamental principles of machine learning on Azure (30-35%)

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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Skills measured

  • Describe AI workloads and considerations (15-20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
  • Describe features of conversational AI workloads on Azure (15-20%)
  • Describe features of computer vision workloads on Azure (15-20%)
  • Describe fundamental principles of machine learning on Azure (30-35%)

Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Artificial Intelligence workloads and considerations15–20%- Describe considerations for developing AI solutions
- Describe responsible AI principles
- Identify types of AI workloads
Topic 2: Features of computer vision workloads on Azure15–20%- Describe capabilities of Azure Face
- Describe capabilities of Azure Computer Vision
- Identify types of computer vision solutions
- Describe capabilities of Azure Custom Vision
- Describe capabilities of Azure Form Recognizer
Topic 3: Features of generative AI workloads on Azure20–25%- Describe generative AI concepts
- Describe responsible AI practices for generative AI
- Describe capabilities of Azure OpenAI Service
- Describe use cases for generative AI
Topic 4: Fundamental principles of machine learning on Azure15–20%- Describe machine learning pipelines
- Describe capabilities of Azure Machine Learning
- Describe core concepts of machine learning
- Describe automated machine learning
Topic 5: Features of Natural Language Processing (NLP) workloads on Azure15–20%- Describe capabilities of Azure Translator
- Identify types of NLP solutions
- Describe capabilities of Azure Speech
- Describe capabilities of Azure Language

Microsoft Azure AI Fundamentals Sample Questions:

Question #1

You have an Azure subscription that uses Azure OpenAI.
You need to create an original image of a rural scene to use on a website.
What should you do?

  • A. From GitHub Copilot, provide instructions to create the image of the rural scene.
  • B. From Azure Al Foundry, deploy a DALL-E model, and provide instructions to create the rural scene.
  • C. From Microsoft Bing, search the term " rural scene " and download the results.
  • D. From Azure Al Foundry, deploy a GPT-3.5 Turbo model and provide instructions to create the image of the rural scene.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).

Question #2

You need to predict the animal population of an area.
Which Azure Machine Learning type should you use?

  • A. clustering
  • B. regression
  • C. classification
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).

Question #3

Your company manufactures widgets.
You have 1.000 digital photos of the widgets.
You need to identify the location of the widgets within the photos.
What should you use?

  • A. Custom Vision classification
  • B. Custom Vision object detection
  • C. Computer Vision Image Analysis
  • D. Computer Vision Spatial Analysis
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).

Question #4

You are developing a Chabot solution in Azure.
Which service should you use to determine a user's intent?

  • A. Translator
  • B. Language
  • C. Speech
  • D. Azure Cognitive Search
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).

Question #5

You have an Al solution that provides users with the ability to control smart devices by using verbal commands.
Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. language modeling
  • B. key phrase extraction
  • C. text-to-speech
  • D. speech-to-text
  • E. translation
Reveal Solution  Discussion  0

Correct Answer: A,D  🗳️

Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).

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