Microsoft
70-774 · Question #6
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is…
The correct answer is H. Clean Missing Data. https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-tools-in-azure-machine-
Prepare data for modeling
Question
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question. You need to remove rows that have an empty value in a specific column. The solution must use a native module. Which module should you use?
Options
- AExecute Python Script
- BTune Model Hyperparameters
- CNormalize Data
- DSelect Columns in Dataset
- EImport Data
- FEdit Metadata
- GClip Values
- HClean Missing Data
How the community answered
(35 responses)- B3% (1)
- C3% (1)
- E11% (4)
- F6% (2)
- H77% (27)
Explanation
https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-tools-in-azure-machine-
Topics
#Clean Missing Data#data preprocessing#missing values#Azure ML Studio modules
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