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NEW QUESTION 23
Why is it important to prepare the data in a CSV file before you bring it into Analytics?

A. To make sure the content is interestingB. To remove column headersC. To add currency symbols to numeric fieldsD. To make sure Analytics can set the field type correctly

Answer: D

 

NEW QUESTION 24
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

A. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.B. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.C. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.D. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.

Answer: D

 

NEW QUESTION 25
Default rows in values table

A. 0B. 1C. 2D. 3

Answer: D

 

NEW QUESTION 26
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