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AI-900 domain

Describe Artificial Intelligence workloads and considerations

Study the Describe Artificial Intelligence workloads and considerations blueprint area in the context of Skills measured as of May 2, 2025.
Practice test overview All exam domains
CertificationAI-900
ProviderMicrosoft
Blueprint weight19%
Exam standardSkills measured as of May 2, 2025

What this domain covers

This domain groups 1 objectives: Identify common AI workloads and apply Microsoft's guiding principles for responsible AI. Official range: 15-20%..

Why this domain matters

The Describe Artificial Intelligence workloads and considerations domain represents a distinct part of the AI-900 role blueprint. It should be understood in relation to the other domains because exam scenarios can require knowledge from more than one area.

How to prepare

Begin with the objective statements below, review each listed subtopic in the provider material, and practice applying the concepts to realistic decisions. Track uncertain answers as well as incorrect ones before moving into timed simulation.

  • Identify computer vision workloads.
  • Identify natural language processing workloads.
  • Identify document processing workloads.
  • Identify features of generative AI workloads.
  • Describe fairness considerations in an AI solution.
  • Describe reliability and safety considerations in an AI solution.
  • Describe privacy and security considerations in an AI solution.
  • Describe inclusiveness considerations in an AI solution.
Exam objective

Identify common AI workloads and apply Microsoft's guiding principles for responsible AI. Official range: 15-20%.

Prepare to work with Identify computer vision workloads.; Identify natural language processing workloads.; Identify document processing workloads.; Identify features of generative AI workloads.; Describe fairness considerations in an AI solution.; Describe reliability and safety considerations in an AI solution.; Describe privacy and security considerations in an AI solution.; Describe inclusiveness considerations in an AI solution.; Describe transparency considerations in an AI solution.; Describe accountability considerations in an AI solution..