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Salesforce Einstein-Analytics-and-Discovery-Consultant Exam With Confidence Using Practice Dumps

Exam Code:
Einstein-Analytics-and-Discovery-Consultant
Exam Name:
Salesforce Tableau CRM Einstein Discovery Consultant(WI23)
Vendor:
Questions:
1
Last Updated:
Apr 30, 2025
Exam Status:
Stable
Salesforce Einstein-Analytics-and-Discovery-Consultant

Einstein-Analytics-and-Discovery-Consultant: Salesforce Other Certification Exam 2025 Study Guide Pdf and Test Engine

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Salesforce Tableau CRM Einstein Discovery Consultant(WI23) Questions and Answers

Question 1

A small Business Intelligence team is overwhelmed with multiple requests to create new dashboards.An option is to use layout templates to help with dashboard development.

What are two advantages of using layout templates? Choose 2 answers

Options:

A.

Layout templates are equipped with design best practice, such as optimally positioned KPIs and filters

B.

Layouttemplates are fast to create because they are fixed and read-only

C.

Layout templates offer a consistent end user experience

D.

Layout templates offer a universal layout thus reducing the hours spent on design

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Question 2

The UniversalContainers company plans to upload target data from an external tool to Einstein Analytics so they can calculate the Sales team target attainments.

The target data changes every month, so the datasets need to be updated on a monthly basis. The target datais a CSV file that contains the Salesforce ID of the sales representative, the target amount, and the month of the target. For each sales representative, the file contains a target for every month of the current year as well as all previous years.

Based onthis information, which operation should a consultant use with the Analytics External Data API to upload the file?

Options:

A.

Update

B.

Append

C.

Overwrite

D.

Upsert

Question 3

What can you do with the dataflow?

Options:

A.

Extract data from an external CSVfile into Analytics

B.

Extract Salesforce object data into Analytics

C.

Build a dashboard

D.

Explore a dataset