Salesforce Exam ANC-201 Topic 3 Question 38 Discussion

Actual exam question for Salesforce's ANC-201 exam

Question #: 38
Topic #: 3

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 CRM Analytics consultant take?

ASplit the analysis into multiple models with each having fewer products.

BRun the model using the default variables in the Product object.

CUse SKU numbers rather than product names to increase clarity.

Show Suggested Answer

Suggested Answer: C

by Becky at Jun 29, 2024, 09:10 PM

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Leonor

1 months ago

I'd go with option A. Splitting the analysis into multiple models is like cutting a giant pizza into smaller slices - it's easier to handle and you can still enjoy the whole pie!

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Lashandra

1 months ago

Wow, 300 unique product names? That's a lot to work with! I hope the CRM Analytics consultant has a big cup of coffee ready for this one.

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France

10 days ago

That's a good idea, using SKU numbers would definitely make things easier to manage.

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Michel

13 days ago

C) Use SKU numbers rather than product names to increase clarity.

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Ronny

22 days ago

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

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Using SKU numbers instead of product names is an interesting idea. It could help increase clarity and potentially simplify the model, but I wonder if it might lose some important product-specific information in the process.

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Kimberlie

17 days ago

I agree, using SKU numbers could simplify the model but we might lose important product-specific information.

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Joni

1 months ago

C) Use SKU numbers rather than product names to increase clarity.

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Mary

1 months ago

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

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Barrett

2 months ago

Using the default variables in the Product object might be the easiest option, but I'm not sure if it will capture the nuances of all 300 unique product names. It's worth considering if the default variables are sufficient.

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Ashley

7 days ago

A: Agreed, we need to consider the best approach to accurately predict with such a large dataset.

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Alonso

17 days ago

C: It's important to ensure the model captures the nuances of all 300 unique product names.

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Gayla

2 months ago

B: Using SKU numbers might make it easier to handle the large number of unique product names.

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Royal

2 months ago

A: I think splitting the analysis into multiple models could be a good idea.

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Marti

2 months ago

Splitting the dataset into multiple models seems like a reasonable approach to handle the large number of products. That way, the model can focus on a smaller subset of products and potentially improve performance.

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Delpha

1 months ago

That sounds like a good idea. It can help with managing the large number of products in the dataset.

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Domitila

2 months ago

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

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Bette

2 months ago

I agree with Mira, splitting the analysis would make it more manageable and accurate.

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Rodrigo

2 months ago

I disagree, using SKU numbers would be more clear and efficient.

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Mira

3 months ago

I think we should split the analysis into multiple models with fewer products.

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Salesforce Exam ANC-201 Topic 3 Question 38 Discussion

Contribute your Thoughts:

Leonor

Lashandra

France

Michel

Ronny

Francesco

Kimberlie

Joni

Mary

Barrett

Ashley

Alonso

Gayla

Royal

Marti

Delpha

Domitila

Bette

Rodrigo

Mira