Salesforce Exam ANC-301 Topic 5 Question 28 Discussion

Actual exam question for Salesforce's ANC-301 exam

Question #: 28
Topic #: 5

[All ANC-301 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 Goldie at Mar 19, 2024, 10:12 PM

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Jamal

12 months ago

I believe the limit of 10 models under a Prediction Definition is reasonable, as it allows for variety and flexibility in predictions.

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Crista

12 months ago

Yes, that's a good point. It's crucial to ensure we don't exceed the limit to optimize the prediction process.

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Val

12 months ago

But what about the limit of number of models under a Prediction Definition? Shouldn't we also consider that?

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Carmela

12 months ago

I agree with Crista, having a limit on Prediction Definitions is important for scalability and performance.

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Brianne

12 months ago

Wait, do we really need a limit on the number of models? Shouldn't it be unlimited? Just kidding, I'll go with C.

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Renato

11 months ago

Yeah, I agree. Let's go with C.

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Kati

11 months ago

I think we should consider the limit on the number of models.

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Junita

12 months ago

Haha, the options are all over the place! I'm going with C just to be on the safe side.

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Maryann

11 months ago

I'm going with D, I think that's the limit we need to consider.

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Margart

11 months ago

I think A is the right choice, it's the safest option.

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Rosendo

1 years ago

Hmm, I'm not sure about this one. Maybe D? 3 models total sounds a bit restrictive.

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Lorita

12 months ago

Yeah, I think B) 10 is the correct limit for the number of models.

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Arlette

1 years ago

I agree, B) 10 models sounds more reasonable than just 3.

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Nickolas

1 years ago

I think it's actually B) 10 models under a Prediction Definition.

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Ashley

1 years ago

C looks like the correct answer to me. 20 models per Prediction Definition allows for more flexibility.

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Flo

11 months ago

I think C is the best option too. It gives us more room to work with different models.

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Maybelle

11 months ago

I agree, having 20 models per Prediction Definition is definitely more flexible.

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Shantell

11 months ago

I think C is the best choice too. It gives us more room to work with different models.

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Blair

11 months ago

I agree, having 20 models per Prediction Definition is definitely more flexible.

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Danica

12 months ago

It's important to consider the number of models when deploying a model to an existing Prediction. C seems like the best option for flexibility.

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Amalia

12 months ago

Yes, it definitely provides more flexibility when deploying models.

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Tamekia

12 months ago

I agree, having a limit of 20 models per Prediction Definition is definitely more flexible.

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Filiberto

1 years ago

I agree, having 20 models per Prediction Definition gives us more options.

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Kenia

1 years ago

I think C is the right choice too. More models means more options.

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Crista

1 years ago

I think when deploying a model to an existing Prediction, we need to consider the limit of total number of Prediction Definitions.

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Scarlet

1 years ago

Yeah, I agree. The number of models can impact the performance and accuracy of the prediction.

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Delmy

1 years ago

I think the answer is B. 10 models per Prediction Definition seems like a reasonable limit.

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Almeta

12 months ago

Got it. So, 10 models per Prediction Definition, 5 total Prediction Definitions, and 3 total Models. Thanks for clarifying!

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Veronika

12 months ago

I think the limit is 3 for the total number of Models.

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Alisha

1 years ago

That sounds reasonable. What about the total number of Models?

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Marcos

1 years ago

I believe the limit is 5 for the total number of Prediction Definitions.

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Novella

1 years ago

But what about the total number of Prediction Definitions?

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Precious

1 years ago

Yes, I agree. 10 models per Prediction Definition makes sense.

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Belen

1 years ago

I think the answer is B.

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Rosendo

1 years ago

I'm not sure about the exact number, but I think it's important to consider the limit of models when deploying a model to an existing Prediction.

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Isabelle

1 years ago

I disagree, I believe the answer is C) 20. The limit of 20 models under a Prediction Definition makes more sense.

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Scarlet

1 years ago

I think the answer is B) 10, because that's the limit of the number of models under a Prediction Definition.

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