Salesforce TABLEAU-CRM-AND-EINSTEIN-DISCOVERY-CONSULTANT Online Practice Questions and Exam Preparation

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

• Question 111:

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

• Question 112:

  What are predictive insights good for?

  A. Predicting outcomes that you don't actually have the right data for
  B. Exploring your existing data to see what already happened
  C. Drilling down into the underlying reasons behind a prediction
  D. Choosing between all possible outcomes for a single variable
  C. Drilling down into the underlying reasons behind a prediction

• Question 113:

  Mosaic recently hired a new developmentcoordinator, Zoe. First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can't access Einstein Analytics. What could be the problem?

  A. An admin hasn't run a dataflow.
  B. Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.
  C. Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.
  D. Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.
  D. Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.

• Question 114:

  In an org, some of the Activity records do not have related Opportunity records. Additionally, there are Opportunity records that do not have related Activity records. Which SAQL statement will fetch all Opportunities, even if they don't have associated Activities, and fetchrelated Activity data, if it exists?

  A. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';
  B. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;
  C. q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';
  D. q =cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';
  D. q =cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';

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  https://developer.salesforce.com/docs/atlas.en- us.bi_dev_guide_saql.meta/bi_dev_guide_saql/bi_saql_statement_cogroup.htm

• Question 115:

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

• Question 116:

  What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?

  A. Remind them that the technology is only as good as the data.
  B. Advise them that the use case may not be accurate.
  C. Highlight that Einstein reduces time to insight, which is much faster than learning from experience.
  D. Recommend using a visualization tool, like Einstein Analytics, to uncover the details.
  A. Remind them that the technology is only as good as the data.

• Question 117:

  How many groupings can you have ina Compare Table?

  A. None
  B. One
  C. Infinite
  D. Up to four
  D. Up to four

• Question 118:

  Which Einstein Analytics asset or assets are created when using an App Template to create an app?

  A. The app, dataflows and datasets, dashboards, and permission sets
  B. The app, dataflows and datasets, and dashboards
  C. The app, dataflows and datasets, and users
  D. An empty app
  B. The app, dataflows and datasets, and dashboards

• Question 119:

  Max story creations per org per month

  A. 1000 (can purchase more)
  B. 500 (can purchase more)
  C. 200 (can purchase more)
  D. 500
  B. 500 (can purchase more)

• Question 120:

  A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?

  A. Use the Analytics External Data API andleverage the "query" resource.
  B. Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.
  C. Use the Analytics REST API and leverage the -query" resource.
  D. Export the dataset as a CSV file and load it to an externaldatabase.
  A. Use the Analytics External Data API andleverage the "query" resource.