DP-100 Question #276: Real Exam Question with Answer & Explanation

Question

You develop a machine learning project on a local machine. The project uses the Azure Machine Learning SDK for Python. You use Git as version control for scripts. You submit a training run that returns a Run object. You need to retrieve the active Git branch for the training run. Which two code segments should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Options

• Adetails = run.get_environment()
• Bdetails.properties['azureml.git.branch']
• Cdetails.properties['azureml.git.commit']
• Ddetails = run.get_details()1

Explanation

{"question_number": 3, "correct_answer": "B and D", "explanation": "To retrieve Git metadata from a training run, you must first call run.get_details() (option D), which returns a dictionary-like object containing run properties including Git metadata automatically captured by Azure ML. Then you access details.properties['azureml.git.branch'] (option B) to get the active branch name. Option A is wrong because get_environment() returns the runtime environment definition, not run details. Option C retrieves the commit hash, not the branch name.", "generated_by": "claude-sonnet", "llm_judge_score": 3}

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