How hard is AI-300, and who struggles most? +
AI-300 is an operations exam, which surprises data scientists. It tests provisioning with Bicep and Azure CLI, CI/CD with GitHub Actions, model registries, deployment and monitoring - across both Azure Machine Learning and Microsoft Foundry. Candidates strong at training models but light on DevOps lose marks on infrastructure-as-code and workflow details. Knowing which platform owns which lifecycle step is a common stumbling point.
Is AI-300 the replacement for DP-100? +
It is the closest successor. DP-100 (Azure Data Scientist Associate) retired on June 1, 2026. AI-300 shifts the focus from experimenting and training to running ML and generative AI in production. If you hold DP-100 knowledge, your Azure Machine Learning experience transfers, but you will need to add GenAIOps, Foundry evaluations and infrastructure automation, which DP-100 barely covered.
What does AI-300 cover and how is it weighted? +
Machine learning model lifecycle and operations is the largest domain at 25-30%. Designing and implementing a GenAIOps infrastructure is 20-25%, MLOps infrastructure 15-20%, and generative AI quality assurance and observability, and optimizing generative AI systems, are 10-15% each. Taken together, the three generative AI domains make up roughly half the exam, so classic MLOps alone is not enough.
What is the AI-300 passing score? +
You need 700 or higher on Microsoft's 1-1000 scaled score. The scale is not a simple percentage, since items can be weighted differently. The exam is proctored at a Pearson VUE center or online and may include interactive components. Check the Microsoft Learn exam page for the current exam length and your local fee.
What experience should I have before AI-300? +
Microsoft's audience profile expects a data science background with Python, entry-level DevOps knowledge such as GitHub Actions and CLIs, and infrastructure-as-code skills with Bicep and the Azure CLI. Practitioners who already deploy models on Azure typically need 6-10 weeks. If you have only used the portal, spend time writing Bicep templates and GitHub Actions workflows before you book.
What happens if I fail AI-300, and how long is it valid? +
You can retake 24 hours after a first failed attempt; later attempts have longer waiting periods under Microsoft's retake policy. Microsoft associate-level certifications are valid for one year and renew through a free online assessment on Microsoft Learn. Your score report breaks performance down by skill area, which is the best guide for a retake.