Question 1

Which capability can a consultant use if “Deploy without connecting to a Salesforce Object” is selected while deploying the model?

Options :

A : Einstein Predictions Component score

B : Predict Function in Salesforce flows

C : No-Code Writeback to SFDC objects

Answer: B

Question 2

Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org. Which CRM Analytics user interface features should be used to complete these requirements?

Options :

A : Analytics REST API used in conjunction with dataflows/recipes.

B : Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes

C : CRM Analytics Connector for Excel used in conjunction with dataflows/recipes

Answer: B

Question 3

Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography. An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record. To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing 'Account' dataset as follows:

This, however, does not seem to be working as expected. What is causing the issue?

Options :

A : The Sales Rep is not provided access permission on custom field Demographic__c on the User object.

B :

The security predicate needs to be updated as 'Ownerld’ == "sUser.id” || ‘Demography’ = "$User. Demographic__c’.

C :

The Analytics Security User is not provided access permission on custom field Demographic_c on the User object.

Answer: A

Question 4

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?

Options :

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.

Answer: C

Question 5

Can you share dashboards with others in your org?

Options :

A : Click on the 'Share' icon on the dashboard. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot.

B : Click on the 'Share' icon on the lens. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot

C : No, you can't share dashboards.

D : Click on the 'Share' icon on the dataset.

Answer: A

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