nerdexam
Microsoft

DP-100 · Question #356

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…

The correct answer is B. No. The goal is to combine two datasets by appending all rows while maintaining the same columns and header, which the 'Apply Transformation' module is not designed for.

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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 Apply Transformation module. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(37 responses)
  • A
    14% (5)
  • B
    86% (32)

Why each option

The goal is to combine two datasets by appending all rows while maintaining the same columns and header, which the 'Apply Transformation' module is not designed for.

AYes

The 'Apply Transformation' module applies a learned transformation to data, it does not merge or append rows from multiple datasets into a single, combined dataset.

BNoCorrect

The 'Apply Transformation' module in Azure Machine Learning designer is used to apply a previously trained or saved data transformation to a new dataset. It is not designed to concatenate or combine two distinct datasets by appending their rows; for that, a module like 'Add Rows' would be appropriate.

Concept tested: Azure ML Designer dataset concatenation

Source: https://learn.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/apply-transformation?view=azureml-api-2

Topics

#Azure Machine Learning designer#Data preparation#Dataset concatenation#Module functionality

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