Salesforce Exam ANC-301 Topic 6 Question 40 Discussion

Actual exam question for Salesforce's ANC-301 exam

Question #: 40
Topic #: 6

A training dataset Is being prepared for a Einstein Discovery story. One skewed with outliers. at action should the Einstein consultant take?

ARemove the outlier rows.

BNothing, because the field is not the outcome variable.

CChange the method of binning to fixed width.

DRemove the field because it has bad data

Show Suggested Answer

Suggested Answer: C

by Lilli at Aug 28, 2024, 12:40 AM

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Marla

3 months ago

I'll have to go with D on this one. If the field has bad data, might as well just nip it in the bud and remove it altogether. Ain't nobody got time for that!

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Cory

2 months ago

Removing the skewed outliers will definitely improve the quality of the training dataset.

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Cherry

2 months ago

Agreed, it's better to remove outliers to ensure accurate results in the Einstein Discovery story.

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Sheron

2 months ago

Yeah, that sounds like the best solution. Let's clean up the dataset before moving forward.

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Fanny

3 months ago

I think we should go with option D and remove the field with bad data.

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Jacquline

3 months ago

I think we should remove the field because it has bad data.

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Van

3 months ago

I agree with Lenna, removing the outlier rows would be the best option.

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Mariko

3 months ago

C, definitely C! Changing the binning method is the way to go. Gotta keep that data looking nice and tidy.

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Herminia

3 months ago

Yes, it's important to clean up the data before running any analysis.

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Shanda

3 months ago

I agree, changing the binning method will help to handle those outliers.

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Amalia

3 months ago

I disagree, I believe we should change the method of binning to fixed width.

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Lenna

3 months ago

I think we should remove the outlier rows.

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Lenna

3 months ago

B seems like the best option. If it's not the outcome variable, why bother with the outliers? Just let them be and move on.

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Eliz

4 months ago

Hmm, I'd go with A. Removing those pesky outliers is the way to go. Can't have them skewing the story, right?

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Eun

3 months ago

Removing the field with bad data might be a good idea too.

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Carolynn

3 months ago

I think changing the method of binning could also help.

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Vesta

3 months ago

Yeah, outliers can really mess up the results.

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Sharan

3 months ago

Agreed, let's clean up the data before proceeding with the Einstein Discovery story.

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Lonny

3 months ago

Yeah, that sounds like the best option to avoid skewing the story.

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Judy

3 months ago

I think we should go with A and remove the outlier rows.

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Berry

3 months ago

I agree, removing the outlier rows is the best option.

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