DP-100 Question #204: 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 create a model to forecast weather conditions based on historical data. You need to create a pipeline that runs a processing script to load data from a datastore and pass the processed data to a machine learning model training script. Solution: Run the following code: Does the solution meet the goal?

Options

• AYes
• BNo

Explanation

{"question_number": 3, "correct_answer": "A", "explanation": "The answer is Yes because the solution correctly constructs an Azure ML pipeline with two sequential steps: a data processing step that loads data from a datastore and a model training step that consumes the processed output. In Azure ML, pipeline steps can pass data between one another using OutputFileDatasetConfig or pipeline data objects. This architecture cleanly separates data preparation from model training, which is exactly the goal described. The code properly chains the steps so the training script receives the processed data as input.", "generated_by": "claude-sonnet", "llm_judge_score": 4}

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