Salesforce Salesforce Consultant TABLEAU-CRM-AND-EINSTEIN-DISCOVERY-CONSULTANT Questions & Answers

• Question 31:

  Using the Setup menu, the Universal Containers company activated data sync (replication) in the Einstein Analytics settings. After running the sync, they notice that the aggregate sum of a field within their dataset is different than what they manually calculated by summing the same data in the Salesforce object from which the dataset was populated.

  Which two differences in the newly synced data can explain this? Choose 2 answers

  A. Differences involving permanently deleted records

  B. Differences involving workflow-updated fields

  C. Differences involving formula fields

  D. Differences involving trigger-updated fields

  Correct Answer: AC

  https://help.salesforce.com/articleView?id=000314272andtype=1andmode=1

• Question 32:

  A consultant created an Einstein Analytics dashboard in a sandbox. Now, the dashboard needs to be migrated into production.

  To complete the migration, what are the consultant's three options? Choose 3 answers

  A. Ant Migration Tool

  B. Analytics External Data API

  C. Analytics REST API

  D. Change sets

  E. Analytics dashboard connector

  Correct Answer: ACD

  https://help.salesforce.com/articleView?id=bi_explore_packaging_intro.htmandtype=0

• Question 33:

  Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?

  A. Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width.

  B. Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type.

  C. Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device.

  D. Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.

  Correct Answer: D

• Question 34:

  What can you do with the dataflow?

  A. Extract data from anexternal CSV file into Analytics

  B. Extract Salesforce object data into Analytics

  C. Build a dashboard

  D. Explore a dataset

  Correct Answer: B

• Question 35:

  What are the steps in the data exploration process?

  A. View, Explore, Refine, Save, Share

  B. View, Explore, Reduce, Save, Share

  C. Download, View, Refine, Save, Share

  Correct Answer: A

• Question 36:

  What is another name for the type of insight that examines how one variable explains variation of the outcome variable?

  A. Third-order analysis

  B. Object-oriented analysis

  C. Second-order analysis

  D. First-order analysis

  E. Spectrum analysis

  Correct Answer: D

• Question 37:

  A large company is rolling out Einstein Analytics to their field sales. They have a well- defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy.

  An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be ableto view opportunities for everyone who rolls up in that hierarchy.

  The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner.

  Given this information, how can an Einstein Consultant implement the above requirements?

  A. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" andand 'Ownerld' == "SUser.Id".

  B. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".

  C. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".

  D. As part ofthe dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".

  Correct Answer: D

• Question 38:

  What's the magic of faceting?

  A. Itbinds charts together so that selecting something in one chart filters other charts by that choice.

  B. It shifts the time period of the chart you're viewing.

  C. It turns the dataflow on and off.

  D. It creates a chart that shows all the faces of your datain a diamond chart.

  Correct Answer: A

• Question 39:

  The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they can calculate the Sales team target attainments.

  The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales representative, the target amount, and the month of the target. For each sales representative, the file contains a target for every month of the current year as well as all previous years.

  Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?

  A. Update

  B. Append

  C. Overwrite

  D. Upsert

  Correct Answer: C

• Question 40:

  In Einstein Analytics, which node is used in a dataflow to extract data from a registered dataset?

  A. sfdcDigest

  B. digest

  C. export

  D. edgemart

  Correct Answer: D