Salesforce chinesedumps legit Tableau-crm-and-einstein-discovery-consultant Exam Download by Kaia q106 vce pdf

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Exam Name:	Salesforce Tableau CRM Einstein Discovery Consultant(SP23)
Exam Code:	Tableau-CRM-and-Einstein-Discovery-Consultant Dumps
Vendor:	Salesforce	Certification:	Salesforce Consultant
Questions:	242 Q&A's	Shared By:	kaia

Question 28

A consultant wants to understand what the important predictors are in the story.

What are two places where this information can be found?

Choose 2 answers

Options:

In the Einstein Recommendations for story improvement. If there are no recommendation to remove strongest predictors, the story doesn’t hold any Important predictors but only weak (probably unrelated) terms.

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

In the Model Deployment Wizard while selecting the actionable fields

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

Discussion

Question 29

Universal Containers (UC) is a multinational company that utilizes Salesforce and has a variety of internal systems. UC uses Einstein Analytics for their data analysis platform and they want to automate their weekly manual process to create a dataset from their on-premise data warehouse. Which solution should a consultant recommend to meet this requirement?

Options:

Utilize a Salesforce weekly export feature

Utilize Analytics Connector.

Utilize middleware with Analytics External Data API

Utilize a dataflow

Discussion

Question 30

A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarch?

Options:

digest transformation

flatten transformation

delta transformation

sfdcDigest transformation

Discussion

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Question 31

An Einstein Consultant is reviewing the "Why it Happened" Insights provided by Einstein Discovery with the customer. The customer would like to validate the results. Which action should the consultant take?

Options:

Show the customer how to export and review the R-Code model validation results

Check the p-values and standard deviation

Use the Share and Export feature to help the customer determine if the findings make logical sense

Consult with a Data Scientist to validate the findings