Salesforce Tableau CRM Einstein Discovery Consultant : Tableau-CRM-Einstein-Discovery-Consultant valid dump

Tableau-CRM-Einstein-Discovery-Consultant
  • Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
  • Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant
  • Updated: Jun 15, 2026
  • Q & A: 244 Questions and Answers

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Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with them. Ideally they would like to have key details highlighted about active cases and opportunities, opportunity value and product whitespace.
What can the consultant do to increase adoption?

A) Create a dashboard and embed it onto the account record page with a filter based on the viewed account
B) Create 4 analytics lenses and embed them onto the account record page
C) Create a dashboard and embed onto the account record page
D) Create datasets for account managers to explore


2. An Einstein Consultant needs to add some data values to an existing dataflow: a text field, a number (via a case statement), and a date (via SAQL).
In order to achieve this, which compute option should be used?

A) computeValue
B) computeExpression
C) computeData
D) computeField


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?

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 "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
D) 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


4. What can you do on the Edit Field Attributes page when uploading a CSV file to Analytics?

A) Change a field's type
B) All of the above
C) Change a field's name
D) Change a field's format


5. What are two main steps for creating a dataset?

A) Build and explore
B) Run and monitor
C) Extract and prepare
D) Plan and map


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: B,D
Question # 4
Answer: B
Question # 5
Answer: C

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