AzureAssociateRetired · 30 June 2026
Microsoft Certified: Azure AI Engineer Associate (AI-102)
AI-102
Retired 30 June 2026; replaced by AI-103. Bank retained for Azure AI services practice.
This exam is retired — no longer supported
This exam was retired on 30 June 2026 and can no longer be sat, so CertifyCloudx no longer offers practice questions or mock exams for it. The exam details and the official syllabus below are kept for reference.
Withdrawn — CertifyCloudx does not prepare candidates for this exam any more. What follows is the official exam guide, kept for reference.
What's on the exam
6 domains · 17 task statements, straight from the official exam guide (as of December 23, 2025).
- 1.1Select the appropriate Microsoft Foundry Services
- Select the appropriate service for a generative AI solution
- Select the appropriate service for a computer vision solution
- Select the appropriate service for a natural language processing solution
- Select the appropriate service for a speech solution
- Select the appropriate service for an information extraction solution
- Select the appropriate service for a knowledge mining solution
- 1.2Plan, create and deploy a Microsoft Foundry Service
- Plan for a solution that meets Responsible AI principles
- Create an Azure AI resource
- Choose the appropriate AI models for your solution
- Deploy AI models using the appropriate deployment options
- Install and utilize the appropriate SDKs and APIs
- Determine a default endpoint for a service
- Integrate Microsoft Foundry Services into a continuous integration and continuous delivery (CI/CD) pipeline
- Plan and implement a container deployment
- 1.3Manage, monitor, and secure a Microsoft Foundry Service
- Monitor an Azure AI resource
- Manage costs for Microsoft Foundry Services
- Manage and protect account keys
- Manage authentication for a Microsoft Foundry Service resource
- 1.4Implement AI solutions responsibly
- Implement content moderation solutions
- Configure responsible AI insights, including content safety
- Implement responsible AI, including content filters and blocklists
- Prevent harmful behavior, including prompt shields and harm detection
- Design a responsible AI governance framework
Outline reproduced from the vendor's public exam guide for study reference.Official guide