Salesforce Exam ANC-201 Topic 4 Question 30 Discussion

Actual exam question for Salesforce's ANC-201 exam

Question #: 30
Topic #: 4

[All ANC-201 Questions]

When deploying a model to an existing Prediction, w number should be considered"1

A5: Limit of total number of Prediction Definitions.

B10: Limit of number of models under a Prediction Definition.

C20: Limit of number of models under a Prediction Definition.

D3: Limit of total number of Models.

Show Suggested Answer

Suggested Answer: B

by Valentin at Mar 16, 2024, 05:28 PM

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Veronique

1 years ago

Hmm, that's a good point. I think C) 20 also makes sense now that I think about it.

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Devora

1 years ago

I'm not sure, but I think the answer might be B) 10 because it seems like a reasonable limit for the number of models.

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Fidelia

1 years ago

I disagree, I believe the answer is C) 20 because it makes more sense to have a higher limit for models under a Prediction Definition.

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Veronique

1 years ago

I think the answer is A) 5 because there is a limit on the total number of Prediction Definitions.

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Marya

1 years ago

Ooh, this one's tricky. I'm going to have to go with the classic B) 10 option. Anything higher seems a bit excessive, don't you think?

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Ben

1 years ago

Haha, I bet the answer is C) 20. Who would ever want to limit themselves to just 10 models? Go big or go home, am I right?

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Xenia

12 months ago

I agree with you, C) 20 does seem like a lot of models to have under one Prediction Definition.

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Margart

12 months ago

I would go with D) 3. It's better to have a smaller number of high-quality models than a bunch of mediocre ones.

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Bette

12 months ago

I agree, having too many models could get confusing. But I see your point about going big!

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Louisa

12 months ago

I think the answer is actually B) 10. It's a good balance between too few and too many models.

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Deja

12 months ago

I agree with you, I also think the answer is B) 10. It's a reasonable limit for models.

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Renea

1 years ago

I think the answer is B) 10. It's a good balance between too few and too many models.

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Micaela

1 years ago

I think the answer is actually B) 10. It's important to have a limit to keep things organized.

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Nieves

1 years ago

Hmm, that's a good point too. Having a higher limit could be beneficial for certain scenarios.

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Lindy

1 years ago

D) 3: Limit of total number of Models? That can't be right, there's gotta be more than that. I'm going with B).

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Candida

1 years ago

B) 10: Limit of number of models under a Prediction Definition.

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Emilio

1 years ago

A) 5: Limit of total number of Prediction Definitions.

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Eveline

1 years ago

Hmm, I was leaning towards C) 20, but I'm not totally sure. Guess I need to review my model deployment limits again.

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Lawanda

1 years ago

I think the answer is B) 10: Limit of number of models under a Prediction Definition. That makes the most sense to me.

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Ronald

1 years ago

Yes, that's correct. It's important to consider the limit of models when deploying a model to an existing Prediction.

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Helaine

1 years ago

I agree, B) 10: Limit of number of models under a Prediction Definition seems like the correct answer.

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Jaleesa

1 years ago

Actually, I believe the answer is C) 20, as it would allow for more flexibility and options when deploying a model.

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Shasta

1 years ago

I agree with it makes sense to have a limit on the number of models under a Prediction Definition.

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Nieves

1 years ago

I think the answer is B) 10, because there is a limit to the number of models under a Prediction Definition.

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