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Salesforce Exam ANC-201 Topic 3 Question 38 Discussion

Actual exam question for Salesforce's ANC-201 exam
Question #: 38
Topic #: 3
[All ANC-201 Questions]

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?

Show Suggested Answer Hide 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
5 days ago
That's a good idea, using SKU numbers would definitely make things easier to manage.
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Michel
7 days ago
C) Use SKU numbers rather than product names to increase clarity.
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Ronny
17 days ago
A) Split the analysis into multiple models with each having fewer products.
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Francesco
1 months ago
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
12 days ago
I agree, using SKU numbers could simplify the model but we might lose important product-specific information.
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Joni
28 days ago
C) Use SKU numbers rather than product names to increase clarity.
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Mary
30 days 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
2 days ago
A: Agreed, we need to consider the best approach to accurately predict with such a large dataset.
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Alonso
12 days ago
C: It's important to ensure the model captures the nuances of all 300 unique product names.
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Gayla
1 months ago
B: Using SKU numbers might make it easier to handle the large number of unique product names.
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Royal
1 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
1 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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