Exam DP-100 topic 2 question 32 discussion

Summarize Data module output also has the following columns: P0.5, P1, P5, P95, P99, P99.5 Probably the person in charge of these tests was not very prepared and did not even check Microsoft's docs, so he confused "percentile" values with "p-" values. By the way, "p-values" of what!?

C. Execute Python Script E. Summarize Data In Azure Machine Learning Studio, you can use the "Summarize Data" module to generate a statistical summary that includes unique count and basic statistics such as mean, standard deviation, minimum, maximum, and quartiles for each feature column. To calculate p-value, you would need to use a "Execute Python Script" module and write a custom code to perform the hypothesis test and compute the p-value. The "Export Count Table" module in Azure Machine Learning Studio only provides a count of the number of instances of each unique value in a single feature column, it doesn't provide statistical summary information like the mean, standard deviation, minimum, maximum, quartiles, or p-value. To get the p-value and a more comprehensive statistical summary, you would need to use the "Execute Python Script" module and write custom code as described in my previous answer.

C. Execute Python Script E. Summarize Data The "Execute Python Script" module allows you to run your own Python script, which can be used to calculate any statistic, including unique counts and p-values. The "Summarize Data" module in Azure Machine Learning Studio provides a statistical summary of the input dataset, including count, mean, mode, standard deviation, minimum, and maximum. And like somebody mentioned, it should be percentile and not p-value.

Options AD

Answer is just 'C'

Actually, the question is not clear about which type of p-value, it wants to calculate. Only module that can do it is "Execute a python script"

it should say percentile values

Isn't "Execute a python script" actually the only option to calculate the p-value?