DP-100 Question #124: Real Exam Question with Answer & Explanation

Question

You use Azure Machine Learning Studio to build a machine learning experiment. You need to divide data into two distinct datasets. Which module should you use?

Options

• ASplit Data
• BLoad Trained Model
• CAssign Data to Clusters
• DGroup Data into Bins

Explanation

{"question_number": 3, "correct_answer": "A (Split Data) - stated answer D appears incorrect", "explanation": "The correct module in Azure Machine Learning Studio for dividing data into two distinct datasets is (A) Split Data. This module is specifically designed to partition a dataset into training and test sets (or any two subsets) based on a specified ratio, stratified split, or regular expression. The stated answer D ('Group Data into Bins') is incorrect for this task - it divides a single continuous column's values into discrete bins/buckets (discretization), and does not split rows into two separate datasets. Load Trained Model (B) loads a pre-trained model, and Assign Data to Clusters (C) is used with K-means clustering output. This answer key appears to contain an error; the correct answer should be A.", "generated_by": "claude-sonnet", "llm_judge_score": 2}

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