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Exam DP-100 topic 2 question 68 discussion

Actual exam question from Microsoft's DP-100
Question #: 68
Topic #: 2
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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.

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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?

  • A. Yes
  • B. No
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

Comments

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MiteshKachhatiya
11 months, 3 weeks ago
Selected Answer: B
Answer is B
upvoted 2 times
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Karthikat
1 year, 2 months ago
on exam 3/25/2024
upvoted 2 times
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TA_
1 year, 2 months ago
This set-up of questions on exam 15-03-2024
upvoted 1 times
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Plb2
1 year, 3 months ago
Selected Answer: A
Assuming we're speaking of the 'Apply SQL Transformation' component here and reading the documentation I was thinking this could work: "Using the Apply SQL Transformation component, you can: - Create tables for results and save the datasets in a portable database" and "The component can take up to three datasets as inputs". However further down it's stated that with SQLLite "LEFT OUTER JOIN is implemented, but not RIGHT OUTER JOIN or FULL OUTER JOIN". https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/apply-sql-transformation?view=azureml-api-2
upvoted 1 times
DaniloMagone
1 year, 1 month ago
Why would you assume that if there is a component named Apply Transformation exactly? And this component does not fit the problem. The answer should be B.
upvoted 1 times
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Plb2
1 year, 3 months ago
Correcting the selected anwer; should be B (no)
upvoted 1 times
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phydev
1 year, 10 months ago
On exam 20 July 2023.
upvoted 4 times
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Dp_100_11
2 years ago
No, the solution provided using the Apply Transformation module does not meet the goal of creating a dataset that contains all rows from both input datasets with the same columns and header row. The Apply Transformation module is used to apply custom transformations or operations on the dataset, but it does not perform the task of merging or combining two datasets into a single dataset with all rows and columns.
upvoted 4 times
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