DP-100 Question #373: 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 use Azure Machine Learning designer to load the following datasets into an experiment: Dataset1 Dataset2 You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets. Solution: Use the Join Data module. Does the solution meet the goal?

Options

• AYes
• BNo

Explanation

To combine all rows from two datasets while maintaining their original columns and headers in Azure Machine Learning designer, the solution suggests using the Join Data module.

Common mistakes.

• B. The 'Join Data' module is primarily designed for horizontally merging datasets based on key columns, which typically combines columns and not just appends rows, making 'Add Rows' the more direct module for the stated goal.

Concept tested. Dataset concatenation in Azure ML designer

Reference. https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/join-data

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