DomainDescribe Artificial Intelligence workloads and considerations
Exam standardSkills measured as of May 2, 2025
What this objective covers
Identify common AI workloads and apply Microsoft's guiding principles for responsible AI. Official range: 15-20%. includes 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..
Why it matters
This objective contributes to the Describe Artificial Intelligence workloads and considerations domain and represents knowledge or judgment expected within the AI-900 role. Prepare it as part of the wider domain rather than as an isolated fact list.
How to prepare
Define each term, connect it to the objective's practical decision, and use source material or hands-on work to test the concept. Finish with fresh, targeted questions and explain why the strongest alternative answer is weaker.
Objective area 1
Identify computer vision workloads.
Study how Identify computer vision workloads. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Objective area 2
Identify natural language processing workloads.
Study how Identify natural language processing workloads. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Objective area 3
Identify document processing workloads.
Study how Identify document processing workloads. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Objective area 4
Identify features of generative AI workloads.
Study how Identify features of generative AI workloads. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Objective area 5
Describe fairness considerations in an AI solution.
Study how Describe fairness considerations in an AI solution. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Objective area 6
Describe reliability and safety considerations in an AI solution.
Study how Describe reliability and safety considerations in an AI solution. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Objective area 7
Describe privacy and security considerations in an AI solution.
Study how Describe privacy and security considerations in an AI solution. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Objective area 8
Describe inclusiveness considerations in an AI solution.
Study how Describe inclusiveness considerations in an AI solution. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Objective area 9
Describe transparency considerations in an AI solution.
Study how Describe transparency considerations in an AI solution. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Objective area 10
Describe accountability considerations in an AI solution.
Study how Describe accountability considerations in an AI solution. supports the broader objective, then apply it in a AI-900 scenario instead of memorizing the phrase.
Keep this objective connected to its domain.
Domain-level review helps preserve the broader blueprint context.
