Free Tableau-CRM-and-Einstein-Discovery-Consultant Exam Braindumps

An EinsteinAnalytics 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?

1. 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
2. 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 Analytic
3. C. Build a dashboard using the ETL generated dataset
4. 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
5. E. 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 Analytic
6. F. Build a dashboard using that dataset

Correct Answer: BC

A story has been deployed to the Opportunityobject with a prediction field, Predicted Amount.
How can all the Opportunity records be predictions written back to the Predicted Amount field?

1. A. Mass edit all the records by populating the Predicted Amount field.
2. B. Use the Prediction Service API to getthe prediction and populate the Predicted Amount field.
3. C. Enable a Bulk Scoring Job under the Prediction Definition.
4. D. Open all Opportunity records.

Correct Answer: B

Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to next steps?

1. A. Rerun and update the story with a different algorithm.
2. B. Proceed with deployment if the model quality metric values ire sufficient.
3. C. Edit the model accuracy settings and rerun the story.
4. D. Identify additional data that may have a stronger relationship with the outcome variable.

Correct Answer: BD

A company wants to allow users who belong to an account team to see all the Opportunities associated with that Account in Einstein Analytics.
Which two actions accomplish this requirement? Choose 2 answers

1. A. Apply sharing inheritance.
2. B. Create a master-detail relationship between the Salesforce Account and Opportunity objects.
3. C. In the dataflow, extract the AccountTeamMember object and augment it with the Opportunity object using 'Accountld' as the joinfield and apply following security predicate: 'AccountTeamMember.Userld' == "$User.Id".
4. D. In the dataflow, extract the OpportunityTeamMember object and augment it with the Opportunity object using 'Opportunityld' asthe join field and apply the following security predicate: 'OpportunityTeamMember.Userld'== "$User.Id".

Correct Answer: AC

An Einstein Analytics consultant has been asked to refactor a dashboard so that it loads morequickly. After some analysis, the consultant found that most of the dashboard steps run in less than five seconds; however, the Opportunities Table takes 30 seconds to run.
How can the consultant improve the performance of this dashboard?

1. A. Create asecond page on the dashboard and move the table to this new page.
2. B. Create a link to download the list of opportunities as an Excel file.
3. C. Create a Visualforce page and display a list view of the opportunities on this new page.
4. D. Create a seconddashboard and move the table to this new dashboard.

Correct Answer: A
https://help.salesforce.com/articleView?id=bi_dashboard_pages.htm&type=5