AI-300: Machine Learning and Generative AI Solutions

You can train a model. Can you ship it, gate it, watch it, and keep it affordable after the demo ends?

Prepare for Microsoft AI-300 (Microsoft Certified: Machine Learning Operations Engineer Associate) with 600 original questions across six full-length mock exams of 100 items each. Every exam is blueprint-weighted, so each one is a coherent rehearsal of the whole blueprint rather than a random topic dump.

AI-300 tests configuration, and this package honours that. You will read Bicep, `az ml` and job YAML, GitHub Actions workflows, MLflow and prompt-flow structure, endpoint traffic splits, and evaluation configuration — and decide what to change. That is deliberate: it is the one place this course departs from a purely conceptual style, because an operations engineer is judged on configuration.

WHAT YOU GET

• Six original 100-question mock exams

• Blueprint weighting on every exam: 18 / 29 / 23 / 15 / 15 across the five published domains

• Mixed item types: 76 multiple-choice, 16 multi-select, with 8 of the multiple-choice items asking you to pick the correct candidate sequence

• Four three-question case studies inside every exam

• An explanation for every option plus a case-specific overall rationale

• Local study-map skill anchors and the official study-guide reference on every item

• Offline Markdown review copies alongside instructor CSV files

• A reproducible ZIP, a validation report, and automated structural tests

EACH EXAM CONTAINS

• 18 questions on Design and implement an MLOps infrastructure

• 29 questions on Implement machine learning model lifecycle and operations

• 23 questions on Design and implement a GenAIOps infrastructure

• 15 questions on Implement generative AI quality assurance and observability

• 15 questions on Optimize generative AI systems and model performance