Exam AI-300: Operationalizing Machine Learning and Generative AI Solutions is Microsoft's associate-level exam for AI operations. It leads to the Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate certification, which validates the ability to set up infrastructure for machine learning operations (MLOps) and generative AI operations (GenAIOps) on Azure — together referred to as AI operations (AIOps).
TroyTec offers AI-300 exam preparation material in PDF format and an Online Test Engine, built from questions mapped to the official AI-300 skills outline, with AI-powered tracking that identifies weak areas and adjusts your study focus.
AI-300 replaces the Microsoft Certified: Azure Data Scientist Associate certification, previously earned through Exam DP-100, which retired June 1, 2026. DP-100 focused on data exploration, model training, evaluation, and deployment. AI-300 keeps that training and evaluation foundation but significantly expands scope into automation, infrastructure as code (IaC), CI/CD pipelines, lifecycle governance, observability, drift detection, cost control, and operationalizing generative AI systems and agents.
Candidates are expected to design and implement secure, scalable MLOps infrastructure, automate resource provisioning and deployments using GitHub Actions, Bicep, and Azure CLI, and manage the full AI model lifecycle. The exam covers training, optimizing, deploying, and maintaining traditional machine learning models using Azure Machine Learning, as well as deploying, evaluating, monitoring, and optimizing generative AI applications and agents using Microsoft Foundry.
AI-300 is designed for professionals working at the intersection of data science, DevOps, and generative AI — often described as Machine Learning Operations Engineers or AI Engineers responsible for production ML and GenAI systems. Microsoft's candidate profile assumes a data science background with Python programming experience and an entry-level understanding of DevOps practices, including GitHub Actions and command-line interfaces (CLIs). Experience with infrastructure as code (Bicep, Azure CLI) is also recommended.
Exam code: AI-300 (Operationalizing Machine Learning and Generative AI Solutions).
Certification earned: Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate.
Exam duration: 120 minutes, as stated on Microsoft's official certification page.
Passing score: Microsoft has not published a passing score specific to AI-300 on its certification page at this time. Most Microsoft associate-level exams use a 700 out of 1000 threshold; candidates should confirm the current requirement on the official Microsoft Learn page before scheduling.
Delivery: Proctored exam, which may include interactive components beyond standard multiple choice.
Exam status: Currently in beta.
Practice Assessment: Microsoft's official Practice Assessment for AI-300 is not yet available and typically launches within roughly eight weeks of general availability.
Prerequisites: No formal prerequisites, though a data science background with Python experience and basic DevOps familiarity is strongly recommended given the exam's operational focus.
Predecessor certification: Azure Data Scientist Associate (Exam DP-100), retired June 1, 2026.
Retake policy: If you do not pass on your first attempt, you can retake the exam 24 hours later.
TroyTec's AI-300 prep bundle includes two formats:
PDF format: Downloadable, printable AI-300 exam questions with verified answers, for offline study on any device.
Online Test Engine: A browser-based practice test that simulates real exam timing and question delivery, with instant scoring and answer explanations.
Both formats are paired with an AI-powered performance tracker that flags weaker domains — for example, MLOps automation versus generative AI monitoring — and prioritizes those questions in later practice sessions. Material is reviewed on an ongoing basis against Microsoft Learn's official AI-300 study guide as the exam moves from beta to general availability.
The certification is Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate, earned by passing Exam AI-300: Operationalizing Machine Learning and Generative AI Solutions.
Yes. AI-300 replaces the Azure Data Scientist Associate certification previously earned through DP-100, which retired June 1, 2026.
AI-300 focuses specifically on operationalizing machine learning and generative AI systems in production — MLOps and GenAIOps. It is closely related to broader AI Engineer roles but is distinct from Exam AI-103, which focuses on building AI apps and agents rather than operating them at scale.
A data science background, Python programming experience, and basic familiarity with DevOps tools such as GitHub Actions, Bicep, and Azure CLI are recommended, though there are no formal prerequisites.
TroyTec offers AI-300 practice questions in PDF format and through an Online Test Engine, both built from the current exam skills outline.
Study anywhere with our portable PDF question bank
Simulate real exam conditions with our online engine
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Updated June 19, 2026
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