Azure Machine Learning & MLOps drills

Model training, deployment, and ML lifecycle operations on Azure. This drill draws its 25 questions from the practice banks of 2 related Microsoft certifications (DP-100, AI-300), so one session covers the topic everywhere it appears across the exam family. Free to browse; unlimited per-exam practice on MS Exam Lab.

Exams this drill covers

DP-100: Azure Data Scientist Associate practice

Associate-level · Data & AI track · ~50 questions · 100 minutes.

Skills measured on DP-100 that this drill covers:

• Design and prepare a machine learning solution (~22%)
• Train and deploy models (~27%)
• Optimize language models for AI applications (~27%)

AI-300: Machine Learning Operations Engineer Associate practice

Associate-level · Data & AI track · ~50 questions · 120 minutes.

Skills measured on AI-300 that this drill covers:

• Design and implement an MLOps infrastructure (~17%)
• Implement machine learning model lifecycle and operations (~27%)
• Optimize generative AI systems and model performance (~12%)

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Skills outlines are compiled from Microsoft's official study guides (Microsoft Learn). Maintained and kept current by the MS Exam Lab team.