AI-300 Certification Practice Question #13

Question

You train a model in Azure Machine Learning.
You plan to capture experiment details for later comparison. The training code must log parameters and metrics for each run.
You review the following training script.

You need to verify whether the training script meets the experiment tracking requirement. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Accepted Answer

The script logs `max_iter` and `accuracy` within an active run, so parameters and metrics **are** tracked per run (S1 = Yes). The artifact path of the logged model is the second argument to `log_model` — the string `"model"` — which is independent of the experiment name, so S2 is **No**. `mlflow.set_experiment("classification-experiment")` explicitly associates the run with a named experiment, so S3 is **Yes**. Both community members independently read it as Y/N/Y.

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