Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Exam - Topic 6 Question 33 Discussion

Actual exam question for Salesforce's Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) exam

Question #: 33
Topic #: 6

[All Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Questions]

After the initial creation of a model, the first model insight explains

93% of the variation of the outcome variable. This is unusually high.

What is the most likely reason for this?

AThe dataset contains multiple dominant values.

BThe model contains too many outlier values.

CThe outcome variable may be causing data leakage.

Show Suggested Answer

Suggested Answer: C

by Francoise at Mar 07, 2026, 02:00 AM

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Vannessa

5 days ago

I thought models usually explain less than that?

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Ivory

10 days ago

Definitely sounds like data leakage to me.

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Kiley

15 days ago

That's a crazy high percentage!

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Armando

20 days ago

I really can't decide between C and B. Both seem plausible, but I lean towards C because of the data leakage concept we practiced.

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Arminda

25 days ago

I feel like we went over a similar question where dominant values affected the model's performance. Could it be A?

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Lashaun

1 month ago

I'm not entirely sure, but I think having too many outliers could skew the results too. Maybe option B is also a possibility?

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Shaquana

1 month ago

I remember discussing data leakage in class, and it seems like option C could be the right answer since it would explain such a high percentage of variation.

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