DP-100 · Question #411
You use Azure Machine Learning studio to analyze a dataset containing a decimal column named column1. You need to verify that the column1 values are normally distributed. Which statistic should you…
The correct answer is C. Profile. Azure Machine Learning studio's Profile feature generates a full statistical summary and histogram of a column, which is needed to assess whether data is normally distributed.
Question
Options
- AMax
- BType
- CProfile
- DMean
How the community answered
(63 responses)- A2% (1)
- B2% (1)
- C92% (58)
- D5% (3)
Why each option
Azure Machine Learning studio's Profile feature generates a full statistical summary and histogram of a column, which is needed to assess whether data is normally distributed.
Max only returns the highest value in the column, providing no information about how values are distributed across the range.
Type identifies the data type of the column (e.g., decimal, integer), not how its values are distributed.
The Profile option in Azure ML studio generates a detailed statistical overview of each column, including a histogram that visually shows the distribution shape. By examining the histogram alongside statistics like skewness and kurtosis, you can determine whether column1 values follow a normal (bell-curve) distribution. No other single statistic or view in the studio provides this distributional visualization.
Mean is a single measure of central tendency and cannot alone confirm whether the column is normally distributed.
Concept tested: Azure ML studio dataset profile and distribution analysis
Source: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml
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