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Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions (Q79-Q84):

NEW QUESTION # 79
The Event Monitoring Analytics app brings prebuilt insights and analytics to what type of existing data in your org?

• A. Field audit trail data
• B. Forensics data
• C. Event log file data
• D. Sales Cloud data Login

Answer: C
NEW QUESTION # 80
A consultant built an Einstein Analytics app for the Sales Operations team. The team wants to share this app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
In the process of creating the template, which role does the original Einstein Analytics app for the Sales Operation team play?

• A. It is the target.
• B. It is the template.
• C. It is the master.
• D. It is the instance.

Answer: C
NEW QUESTION # 81
Why is it important to prepare the data in a CSV file before you bring it into Analytics?

• A. To make sure Analytics can set the field type correctly
• B. To remove column headers
• C. To add currency symbols to numeric fields
• D. To make sure the content is interesting

Answer: A
NEW QUESTION # 82
Why is it important to select the right root object when you use the dataset builder?

• A. The root object determines what app the dataset is saved in.
• B. The root object determines what related objects you can add to the dataset.
• C. Only data from the root object can be included in the dataset.
• D. The root object determines who can see the dataset.

Answer: B
NEW QUESTION # 83
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. 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.
• C. Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.
• D. Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.

Answer: A
NEW QUESTION # 84
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