Salesforce Exam Tableau-CRM-Einstein-Discovery-Consultant Topic 1 Question 69 Discussion

Actual exam question for Salesforce's Tableau-CRM-Einstein-Discovery-Consultant exam

Question #: 69
Topic #: 1

[All Tableau-CRM-Einstein-Discovery-Consultant Questions]

The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.

How can an Einstein Consultant address this need?

ACreate one application for each department and use roles to share applications.

BCreate one application for each department, put common datasets in the shared app, and use profiles to share applications.

CCreate one application for each department, put common datasets in the shared app, and use roles to share applications.

DCreate one application for each department, put common datasets in the shared app, and use permission sets to share applications.

Show Suggested Answer

Suggested Answer: B, D

by Eileen at Jun 18, 2024, 08:08 PM

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Eden

9 months ago

Wait, there's an 'Einstein Recommendations' section? I must be using a different software. B and D sound like the logical choices to me.

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Marshall

7 months ago

Agreed, those options sound like the most logical choices.

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Karrie

7 months ago

B) In the Story Settings and D) In the Model Metrics seem like the best places to find important predictors.

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Jonell

7 months ago

I didn't know about the Einstein Recommendations section either.

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Bettina

7 months ago

Yeah, I agree. B and D seem like the best options for finding important predictors.

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Catalina

7 months ago

D is also important because it lists the top predictors in the Model Metrics section.

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Vallie

8 months ago

I think B is a good place to start. It shows the strength of predictor fields.

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Audria

9 months ago

I'm picturing a consultant staring at the screen, mumbling 'Where are these darned predictors hiding?' B and D for the win!

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Fausto

8 months ago

D) In the Model Metrics section, where the top predictors are listed

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Lauryn

8 months ago

B) In the Story Settings, where the strength of predictor fields is calculated and visualized. The consultant can sort the list of predictor fields accordingly.

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Lettie

9 months ago

That's true, Eden. Sorting the list of predictor fields accordingly can help identify the important predictors.

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Eden

9 months ago

I believe the strength of predictor fields can also be found in the Story Settings.

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Levi

9 months ago

I agree with you, Lettie. If there are no recommendations to remove strongest predictors, then the story doesn't have any important predictors.

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Theodora

9 months ago

A is definitely a red herring. Sorting the predictor fields in the Story Settings is the way to go. And Model Metrics is a good backup option.

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Lynelle

9 months ago

Yes, and checking the Model Metrics for the top predictors is also important.

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Lindsey

9 months ago

I agree, A seems like a distraction. Sorting the predictor fields in Story Settings is key.

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Tula

10 months ago

Hmm, I'm not sure about A. Einstein Recommendations don't seem relevant to finding the predictors. I'd go with B and D too.

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Theresia

9 months ago

Yeah, B and D are definitely the best places to find the important predictors.

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Marsha

9 months ago

I agree, A doesn't seem relevant. B and D are the way to go.

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Vallie

10 months ago

I think B and D are the correct answers. The Story Settings and Model Metrics sections seem like the obvious places to find information on the important predictors.

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Cora

9 months ago

Yes, B and D are the right choices. Those sections provide valuable information on important predictors in the story.

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Denae

9 months ago

I think checking the strength of predictor fields in Story Settings and looking at the top predictors in Model Metrics would give a good understanding.

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Frederica

9 months ago

I agree, the Story Settings and Model Metrics sections are definitely the places to look for important predictors.

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Lettie

10 months ago

I think the important predictors can be found in the Einstein Recommendations.

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