Domain 1: Identify AI concepts and capabilities

Domain 1 is the concepts half of the exam. It covers Microsoft’s six principles of responsible AI, how generative AI models work and how to choose and configure one (including deployment types and parameters such as temperature), and how to recognize the common AI workloads: generative and agentic AI, text analysis, speech, computer vision, image generation, and information extraction.

40–45%Of the exam

3Objectives

48Practice questions

7Official exercises

Skills measured

Objectives and skills below are quoted from the official study guide. The count beside each skill is how many exam simulator questions test it.

1.1 Describe principles of responsible AI

Describe considerations for fairness in an AI solution2
Describe considerations for reliability and safety in an AI solution3
Describe considerations for privacy and security in an AI solution3
Describe considerations for inclusiveness in an AI solution2
Describe considerations for transparency in an AI solution2
Describe considerations for accountability in an AI solution2

1.2 Identify AI model components and configurations

Describe how generative AI models work5
Identify an appropriate AI model, based on capabilities5
Identify appropriate model deployment options and configuration parameters5

1.3 Identify AI workloads

Identify scenarios for common AI workloads, including generative and agentic AI, text analysis, speech, computer vision, and information extraction4
Describe common text analysis techniques, including keyword extraction, entity detection, sentiment analysis, and summarization4
Identify features and capabilities of speech recognition and speech synthesis4
Identify features and capabilities of computer vision and image-generation models4
Identify techniques to extract information from text, images, audio, and videos3