DP-100 Question #212: Real Exam Question with Answer & Explanation

Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have a Python script named train.py in a local folder named scripts. The script trains a regression model by using scikit-learn. The script includes code to load a training data file which is also located in the scripts folder. You must run the script as an Azure ML experiment on a compute cluster named aml-compute. You need to configure the run to ensure that the environment includes the required packages for model training. You have instantiated a variable named aml-compute that references the target compute cluster. Solution: Run the following code: Does the solution meet the goal?

Options

• AYes
• BNo

Explanation

{"question_number": 4, "correct_answer": "B", "explanation": "The answer is No because the proposed solution does not correctly configure the run to make the training data file available on the remote compute cluster. When running a script on a remote compute target like 'aml-compute', all files needed by the script - including the training data - must either be included in the source directory uploaded to the cluster or referenced via a registered Azure ML datastore/dataset. The solution likely omits the training data from the source directory or fails to pass it as a dataset input, so the script would fail to find 'data.csv' on the remote compute.", "generated_by": "claude-sonnet", "llm_judge_score": 4}

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