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AI-900 exam questions for practice in 2026 Updated 336 Questions [Q28-Q46]

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AI-900 exam questions for practice in 2026 Updated 336 Questions

Updated Oct-2026 Premium AI-900 Exam Engine pdf – Download Free Updated 336 Questions

Microsoft AI-900 Certification Exam covers a broad range of topics related to AI, including machine learning, natural language processing, computer vision, and cognitive services. Candidates are expected to have a basic understanding of these concepts before taking the exam. AI-900 exam itself consists of multiple-choice questions and is designed to test the candidate’s knowledge of AI concepts and their ability to apply them in real-world scenarios.

The Microsoft AI-900 exam covers a range of topics including the fundamentals of AI and machine learning, the different types of AI models, and how to build and train machine learning models using Microsoft Azure. AI-900 exam is also designed to evaluate your understanding of key ethical and responsible AI principles and how to implement them in real-world scenarios.

 

Q28. To complete the sentence, select the appropriate option in the answer area.

Q29. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Q30. What is the maximum image size that can be processed by using the prebuilt receipt model in Azure Al Document Intelligence?

 
 
 
 

Q31. Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups.
This an example of which Microsoft guiding principle for responsible AI?

 
 
 
 

Q32. Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Q33. You use natural language processing to process text from a Microsoft news story.
You receive the output shown in the following exhibit.

Which type of natural languages processing was performed?

 
 
 
 

Q34. To complete the sentence, select the appropriate option in the answer area.

Q35. To complete the sentence, select the appropriate option in the answer area.
Computer vision capabilities can be Deployed to………………..

Q36. To complete the sentence, select the appropriate option in the answer area.

Q37. Select the answer that correctly completes the sentence.

Q38. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Q39. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Q40. Match the machine learning tasks to the appropriate scenarios.
To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Q41. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Q42. To complete the sentence, select the appropriate option in the answer area.

Q43. To complete the sentence, select the appropriate option in the answer area.

Q44. Select the answer that correctly completes the sentence.

Q45. Select the answer that correctly completes the sentence.

Q46. Match the principles of responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.


Microsoft AI-900 Exam Syllabus Topics:

Topic Details
Topic 1
  • Describe fundamental principles of machine learning on Azure: It describes core machine learning concepts and Azure Machine Learning capabilities. Moreover, the topic also delves into identifying common machine-learning techniques.
Topic 2
  • Describe Artificial Intelligence workloads and considerations: It identifies specifications of common AI workloads and guiding principles for responsible AI.
Topic 3
  • Describe features of computer vision workloads on Azure: This topic discusses identifying common types of computer vision solution, Azure tools and services for computer vision tasks.
Topic 4
  • Describe features of generative AI workloads on Azure: Features of generative AI solutions and capabilities of Azure OpenAI Service are discussed in this topic.
Topic 5
  • Describe features of Natural Language Processing (NLP) workloads on Azure: In this topic, questions about common NLP Workload Scenarios features, Azure tools, and services for NLP workloads appear.

 

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