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Exam trap: memorising one wording for Run model training scripts: Use logs to troubleshoot job run errors

11 October 2026 · Train and deploy models (25–30%)

Do not treat this objective as a recognition exercise. Practise explaining and applying 'Run model training scripts: Use logs to troubleshoot job run errors' in a new scenario, then check your reasoning against the official source. Source context: Read in English Automate model training with GitHub Actions Module 9 Units Feedback Beginner Data Scientist Azure Machine Learning GitHub Choose this module if you want to automate and validate model training with GitHub Actions and Azure Machine Learning pipelines. Learning objectives In this module, you learn how to: Identify which machine learning assets to version in Git and which belong in purpose-built services such as data stores and model registries. Describe trunk-based development practices — short-lived branches, pull requests, and branch protection rules — that keep the shared branch stable while allowing safe iteration.

Objective

Run model training scripts: Use logs to troubleshoot job run errors

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