Expert Answers to Salesforce Exam Tableau-CRM-and-Einstein-Discovery-Consultant Questions

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Salesforce Consultant Salesforce Tableau CRM Einstein Discovery Consultant(SP23)

Salesforce Tableau CRM Einstein Discovery Consultant(SP23)

Last Update May 19, 2024
Total Questions : 242

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Questions 4

Max story creations per org per month

Options:

1000 (can purchase more)

500 (can purchase more)

200 (can purchase more)

500

Discussion 0

Questions 5

The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.

Which two actions should a consultant take? Choose 2 answers

Options:

Deploy the story, because the variation in the metrics is within the normal range.

Confirm that the overall GINI coefficient is good prior to deploying the story.

Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.

Do not deploy the story immediately, and research why one fold is performing worse than the others.

Discussion 0

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Questions 6

What can you do in a dataset recipe?

Options:

Extract external data into Analytics

Build a dashboard

Combine data from different datasets

Make a data chili

Discussion 0

Questions 7

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores and sees this chart. The visualized tooltip belongs to the blue bar for San Francisco, reflecting, November daily sales quantities in that city specifically.

What two conclusions can be drawn from this insight?

Options:

The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.

November sales are higher than in other months. This November-effect is the strongest in San Francisco.

The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.

The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country

Discussion 0