 Azure MLOps Engineer Associate (AI-300) Exam Questions 2026
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The AI-300: Operationalizing Machine Learning and Generative AI Solutions exam is the new cornerstone for Microsoft’s AI operations track. It officially replaces the DP-100 (Azure Data Scientist Associate), which is scheduled to retire on June 1, 2026.
The exam marks a transition from “experimenting with notebooks” to “engineering production systems,” specifically integrating MLOps and the newly coined GenAIOps.
Exam Quick Facts
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Certification Earned: Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate.
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Exam Status: Beta launched in March 2026; General Availability (GA) expected May 2026.
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Format: 40–60 questions; 150 minutes.
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Passing Score: 700 / 1000.
Key Skill Domains for Azure MLOps Engineer Associate (AI-300) Exam Questions
The AI-300 syllabus moves away from pure data science and heavily into automation, infrastructure, and observability.
| Domain | Weight | Key Topics |
| Design and Implement MLOps Infrastructure | 15–20% | Azure AI Foundry hubs, projects, compute clusters, and Bicep/ARM templates for IaC. |
| Implement ML Model Lifecycle & Ops | 25–30% | CI/CD pipelines via GitHub Actions, MLflow tracking, model registration, and versioning. |
| Design and Implement GenAIOps | 20–25% | (New) Managing Retrieval-Augmented Generation (RAG) pipelines and fine-tuning workloads. |
| Generative AI QA & Observability | 10–15% | Content safety, fairness evaluations, and tracking LLM drift/performance. |
| Deploy & Monitor Solutions | 15–20% | Scaling online endpoints, traffic splitting (Blue/Green), and cost management. |
Core Technology Shifts
The AI-300 introduces several tools that were not part of its predecessor:
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Microsoft Foundry: This is now the primary workspace for managing GenAIOps workflows.
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GitHub Actions: Instead of just “knowing” DevOps, you are expected to build actual YAML-based automation for model training and deployment.
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Responsible AI Dashboards: Significant emphasis is placed on using built-in Azure tools to monitor for bias and safety in generative outputs.
Preparation & Strategy
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If you are DP-100 certified: You do not need to take AI-300 immediately, but your renewal path will eventually point here. Note that DP-100 study materials are 70% outdated for this new exam.
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Starting today: Skip the DP-100 and go straight to AI-300. The market value for “MLOps Engineer” is currently significantly higher than “Azure Data Scientist.”
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Resources: Official Microsoft Learn paths are rolling out late March/early April 2026. Practice tests from established providers are expected to reach high accuracy levels by June.
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Know more about the exam here : https://learn.microsoft.com/en-us/credentials/certifications/operationalizing-machine-learning-and-generative-ai-solutions/?practice-assessment-type=certification
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