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Salesforce Tableau CRM Einstein Discovery Consultant - Tableau-CRM-Einstein-Discovery-Consultant real prep

Tableau-CRM-Einstein-Discovery-Consultant
  • Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
  • Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant
  • Updated: Oct 19, 2024
  • Q & A: 244 Questions and Answers
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Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. What permissions are necessary for someone to edit the XMD?

A) Edit Analytics Dataflows
B) Edit Dataset Recipes
C) Manage Analytics Templated Apps
D) Upload External Data to Analytics


2. A company used Einstein Analytics to create two datasets:
1. "Opportunity With Account- dataset, which contains data from the Opportunity standard object augmented by the Account data.
2. "Case with Account" dataset. which contains data from the Case standard object augmented by the Account data.
The company wants to build a lens showing the total number of Opportunities and Cases per Account. How can a consultant help them build this lens'

A) Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.
B) Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.
C) Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated by Account, and use the generated dataset in a lens.
D) Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.


3. Before using bindings, you can try using facets to specify interactions between widgets.

A) True
B) False


4. How many concurrent stories per org are allowed?

A) 1
B) 2
C) 4
D) 5


5. A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?

A) Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
B) Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
C) Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
D) Ask the credit card company for a more comprehensive dataset to analyze.


Solutions:

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

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