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Salesforce ANC-201 Exam - Topic 2 Question 49 Discussion

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 modelmay not be good enough to deploy.Which action should the consultant take?
A) A Identify additional data that may have a stronger relationship with the outcome variable.
B) Edit the model accuracy settings and rerun it to evaluate the correlation.
C) Use the appropriate algorithm and update the model.

Salesforce ANC-201 Exam - Topic 2 Question 49 Discussion

Actual exam question for Salesforce's ANC-201 exam
Question #: 49
Topic #: 2
[All ANC-201 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

by Timothy at Oct 24, 2024, 02:00 AM

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Sina
6 months ago
Using a better algorithm could make a big difference!
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Rolland
6 months ago
Wait, can just changing settings really fix this?
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Terrilyn
7 months ago
I think editing the model settings might help too.
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Candida
7 months ago
Totally agree, they should look for more relevant data!
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Jettie
7 months ago
Correlation values under 4% are pretty low.
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Shawnta
7 months ago
I’m a bit confused about the best approach. Should we really focus on the algorithm, or is it more important to find better data? I wish I could remember more from our last session.
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Marge
8 months ago
This reminds me of a practice question where we had to choose between updating the model or finding new data. I feel like using the appropriate algorithm could be key here.
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Novella
8 months ago
I'm not entirely sure, but I think editing the model accuracy settings might not actually solve the underlying issue with the data.
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Camellia
8 months ago
I remember we discussed how low correlation values can indicate that the model might not be capturing the right relationships. I think identifying additional data could be a good first step.
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Valene
8 months ago
For this type of question, I'd probably go with option A. Identifying additional data with stronger relationships to the outcome seems like the best way to strengthen the model and address the client's concerns.
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Margo
8 months ago
I'm a bit confused by this one. The low correlation values are concerning, but I'm not sure if editing the model accuracy settings is the right approach. Maybe I'd start by exploring option A.
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Fausto
8 months ago
Okay, so the correlation values are really low. I'm thinking option A might be the way to go - see if I can find some additional data that could improve the model.
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Donette
8 months ago
Hmm, this is a tricky one. I'd want to look into getting more relevant data to see if I can find stronger predictors for the outcome.
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Caitlin
2 years ago
Hmm, I'd say a combination of A and C. Get better data and try different algorithms. Kinda like a cuWynellry expert - can't make a delicious dish with mediocre ingredients!
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Gerald
1 year ago
That sounds like a solid plan. Better data and smarter algorithms could definitely improve the model.
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Melinda
1 year ago
That makes sense. Better data and smarter algorithms could definitely improve the model.
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Becky
1 year ago
C) Use the appropriate algorithm and update the model.
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Tayna
1 year ago
C) Use the appropriate algorithm and update the model.
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Chantay
2 years ago
B) Edit the model accuracy settings and rerun it to evaluate the correlation.
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Dorathy
2 years ago
A) Identify additional data that may have a stronger relationship with the outcome variable.
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Denny
2 years ago
A) Identify additional data that may have a stronger relationship with the outcome variable.
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Nobuko
2 years ago
I'd go for option B. Tweaking the model settings could unlock hidden insights that the consultant might have missed. Who knows, the correlation might just be higher than it seems.
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Reed
1 year ago
Business User: Agreed, let's give it a go and see if the model improves.
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Chandra
2 years ago
Consultant: It's worth a shot to uncover any hidden insights.
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Wynell
2 years ago
Business User: Sounds like a good idea, let's see if the correlation improves.
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Jules
2 years ago
Consultant: Let's try editing the model accuracy settings and rerun it.
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Wynell
2 years ago
Option C sounds promising. The consultant should try a different algorithm to see if that improves the model performance. Sometimes the default algo just doesn't cut it.
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Glory
2 years ago
Definitely option A. The model needs better input variables to make accurate predictions. Increasing the model accuracy settings won't help if the core data is weak.
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Ulysses
2 years ago
User 4: Updating the model with appropriate algorithm could also help in this situation.
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An
2 years ago
User 3: Let's focus on improving the input variables for better predictions.
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Salome
2 years ago
User 2: Agreed, increasing the model accuracy settings won't help if the core data is weak.
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Santos
2 years ago
User 1: I think we should identify additional data that may have a stronger relationship with the outcome variable.
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Fairy
2 years ago
I agree, we need stronger relationships for better results.
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Joni
2 years ago
I think the consultant should go for option A. We can't make a good model without strong predictors. The client is right to be concerned about the low correlation.
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Antione
2 years ago
C) Use the appropriate algorithm and update the model.
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Yesenia
2 years ago
A) I agree, we need to find stronger predictors to improve the model.
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Deandrea
2 years ago
B) Edit the model accuracy settings and rerun it to evaluate the correlation.
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Zita
2 years ago
A) Identify additional data that may have a stronger relationship with the outcome variable.
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Genevive
2 years ago
I think we should identify additional data.
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