Exam Domains & Skills Measured · click any item for a deep dive

Exam Objectives

Domain 1 · 40–45% Identify AI Concepts & Responsibilities
Describe Principles of Responsible AI ▾
  • Describe considerations for fairness in an AI solution
  • Describe considerations for reliability and safety
  • Describe considerations for privacy and security
  • Describe considerations for inclusiveness
  • Describe considerations for transparency
  • Describe considerations for accountability
Identify AI Model Components and Configurations ▾
  • Describe how generative AI models work
  • Identify an appropriate AI model based on capabilities
  • Identify appropriate model deployment options and configuration parameters
Identify AI Workloads ▾
  • Identify scenarios for common AI workloads — generative AI, agentic AI, text analysis, speech, computer vision, information extraction
  • Describe common text analysis techniques: keyword extraction, entity detection, sentiment analysis, summarization
  • Identify features of speech recognition and speech synthesis
  • Identify features of computer vision and image-generation models
  • Identify techniques to extract information from text, images, audio, and video
Domain 2 · 55–60% Implement AI Solutions via Microsoft Foundry
Implement Generative AI Apps & Agents via Foundry ▾
  • Create effective system and user prompts for generative AI models
  • Deploy a model and interact with it in the Foundry portal
  • Create a lightweight chat client using the Foundry SDK
  • Create and test a single-agent solution in the Foundry portal
  • Create a lightweight client application for an agent
Implement AI Solutions for Text & Speech via Foundry ▾
  • Build a lightweight app that includes text analysis
  • Respond to spoken prompts using a deployed multimodal model
  • Build a lightweight app using Azure Speech in Foundry Tools
Implement AI Solutions with Computer Vision & Image Generation ▾
  • Interpret visual input in prompts using a deployed multimodal model
  • Create new visual outputs using generative models
  • Build a lightweight application with vision capabilities
Implement AI Solutions for Information Extraction via Foundry ▾
  • Extract information from documents and forms using Azure Content Understanding in Foundry Tools
  • Extract information from images using Content Understanding
  • Extract information from audio and video using Content Understanding
  • Build a lightweight app with information extraction via Content Understanding