Salesforce Exam ANC-201 Topic 2 Question 29 Discussion

Actual exam question for Salesforce's ANC-201 exam

Question #: 29
Topic #: 2

A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.

Which action should the Einstein Consultant take?

ASplit the analysis into multiple models will each having fewer products

BAdjust the model to eliminate extreme values in the outcome variable.

CRun the model using the default variables in the Product object

DUse SKU numbers rather than product names to increase clarity.

Show Suggested Answer

Suggested Answer: D

by Vincenza at Mar 06, 2024, 10:16 PM

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Flo

5 months ago

Option C is tempting, but I have a feeling that the default variables in the Product object won't be enough to get a good prediction model. Gotta go with A on this one.

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Jacquelyne

5 months ago

Haha, this is a tough one. I bet the Einstein Consultant is just sitting there scratching their head, wondering how to tackle this monster dataset!

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Janet

5 months ago

B) Adjust the model to eliminate extreme values in the outcome variable.

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Melita

5 months ago

A) Split the analysis into multiple models will each having fewer products

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Tanja

6 months ago

I don't know, D seems like the way to go. Using SKU numbers instead of product names just makes more sense to me.

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Dana

5 months ago

D does seem like a practical solution, it would simplify the prediction model.

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Rene

5 months ago

I agree, it would be more efficient to use SKU numbers instead of product names.

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Sarah

5 months ago

I think D is a good idea, using SKU numbers would definitely make things clearer.

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Geoffrey

6 months ago

That's a good point, using SKU numbers would definitely increase clarity.

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Johnna

6 months ago

I suggest using SKU numbers instead of product names, that would simplify the model.

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Jacquline

6 months ago

It might, but it will make it easier to handle a large number of unique product names.

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Bernardine

7 months ago

Option A makes sense, splitting the analysis into multiple models would be more manageable with such a large dataset.

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Helaine

6 months ago

That's a good idea, it would definitely make the analysis more manageable.

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Garry

6 months ago

A) Split the analysis into multiple models will each having fewer products

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Sheridan

6 months ago

Agreed, splitting the analysis into multiple models will make it more manageable.

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Ira

6 months ago

I think option A is the best approach for handling a dataset with over 300 unique product names.

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Geoffrey

7 months ago

But wouldn't that increase complexity?

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Jacquline

7 months ago

I think we should split the analysis into multiple models.

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