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

Exam Code:
Tableau-CRM-and-Einstein-Discovery-Consultant
Exam Name:
Salesforce Tableau CRM Einstein Discovery Consultant (SU24)
Certification:
Salesforce Consultant
Vendor:
Salesforce
Questions:
239
Last Updated:
Nov 20, 2025
Exam Status:
Stable
Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant

Tableau-CRM-and-Einstein-Discovery-Consultant: Salesforce Consultant Exam 2025 Study Guide Pdf and Test Engine

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Salesforce Tableau CRM Einstein Discovery Consultant (SU24) Questions and Answers

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Question 1

When Analytics runs a dataflow that accesses Salesforce objects, which user does it use?

Options:

A.

The current user

B.

The system administrator

C.

The Integration User

D.

The record owner

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Question 2

The Universal Containers company uses a Microsoft Azure SQL Data Warehouse to gather information about sales representatives' objectives. They want to use Einstein Analytics to gain insights from this data; therefore, they need to automatically load the warehouse's data into an Einstein Analytics dataset on a daily basis. The data also needs to be transformed and merged with data from the company's org.

Which three Einstein Analytics user interface features can be used to complete these requirements? Choose 3 answers

Options:

A.

Dataflow

B.

Microsoft Azure SQL Data Warehouse Connector

C.

Einstein Analytics Connector for Excel

D.

Recipes

E.

Analytics REST API

Question 3

An Einstein Analytics team wants to create a dashboard using two standard Salesforce objects. The dashboard should display data from the Case object, along with related data from the Account object. Which two processes can achieve this?

Options:

A.

Extract data from the case and account objects using "sfdcDigest" transformation, Q use "append" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

B.

Extract data from the case and account objects using an ETL tool, use the ETL tool to y/ Q join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset

C.

Extract data from the case and account objects using "sfdcDigest" transformation, y/ Q use "augment" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

D.

Extract data from the case and account objects using "dataloader", create a CSV file Q with account and case data, and then upload the CSV as a dataset to Einstein Analytics. Build a dashboard using that dataset

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