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Salesforce Exam CRM Analytics and Einstein Discovery Consultant Topic 3 Question 14 Discussion

Actual exam question for Salesforce's CRM Analytics and Einstein Discovery Consultant exam
Question #: 14
Topic #: 3
[All CRM Analytics and Einstein Discovery Consultant Questions]

A CRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model

may not be good enough to deploy.

Which action should the consultant take?

Show Suggested Answer Hide Answer
Suggested Answer: A

Contribute your Thoughts:

Essie
1 months ago
Did you guys hear about the data scientist who was so confident in his model's accuracy that he renamed it 'Albert Einstein'? Anyway, I agree with Gail - let's explore a new algorithm and see if that does the trick.
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Gail
1 months ago
Personally, I'd lean towards Option C. Sometimes the algorithm just doesn't fit the data, and we need to try a different approach to unlock the model's full potential.
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Ezekiel
1 months ago
Option B sounds tempting, but I'm not convinced that fiddling with the accuracy settings is the best approach here. Let's try to get to the root of the problem first.
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Tamala
9 days ago
C) Use the appropriate algorithm and update the model.
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Lauryn
24 days ago
A) Identify additional data that may have a stronger relationship with the outcome variable.
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Carmen
1 months ago
I agree, finding stronger relationships is key.
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Vinnie
2 months ago
Hmm, I think Option A is the way to go. We need to dig deeper and find that hidden gem of a dataset that can really move the needle on the model's performance.
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Miriam
7 days ago
User 3: That sounds like a good plan, let's find that hidden gem of a dataset.
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Colby
7 days ago
User 4: I think Option A is the best course of action in this situation.
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Truman
10 days ago
User 2: Agreed, we need to dig deeper to improve the model's performance.
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Rodolfo
12 days ago
User 1: Let's identify additional data that may have a stronger relationship with the outcome variable.
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Herman
2 months ago
I think we should identify additional data.
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