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

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

• Question 141:

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

  A. First-order analysis
  B. Second-order analysis
  C. Third-order analysis
  D. Spectrum analysis
  E. Object-oriented analysis
  A. First-order analysis

• Question 142:

  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
  A. Ant Migration Tool
  C. Analytics REST API
  D. Change sets

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

• Question 143:

  The client asks an Einstein Consultant to build a dashboard with a chart that shows revenue and quantity of units sold. Which type of Combo Chart can the consultant use?

  A. Line over ScatterPlot
  B. Grid over Bar
  C. Line over Bar
  D. Line over Stacked Bar
  C. Line over Bar

• Question 144:

  In the context of Analytics, what is faceting?

  A. Representing the number of widgets on a dashboard
  B. Filtering all related widgets in a dashboard by your selection
  C. Something onlyprogrammers can access
  D. Measuring the number of significant digits of precision for a particular metric
  E. Choosing the color of the background in a graph
  B. Filtering all related widgets in a dashboard by your selection

• Question 145:

  What kind of insight is "What Is The Difference"?

  A. Descriptive
  B. Diagnostic
  C. Predictive
  D. Prescriptive
  E. Selective
  B. Diagnostic

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  https://trailhead.salesforce.com/content/learn/modules/understand_einstein_discovery_stor ies/understand-what-is-the-difference-insights

• Question 146:

  When you assign any Analytics permission set to users in your org, Salesforce auto- assigns the Analytics Platform permission set license to that user.

  A. True
  B. False
  A. True

• Question 147:

  An Einstein Consultant receives a new project from a client that wants to implement Einstein Analytics. They do not currently have Einstein Analytics, but wantguidance around how to ensure that their users have correct access.

  They have 1000 users with a small team of three people who will build datasets and dashboards. An additional 15 people should be able to create dashboards. The remaining users should onlybe able to view dashboards.

  Which recommendation should the consultant give the client?

  A. Create and assign Salesforce permission sets according to the three types of roles defined.
  B. Assign the app permissions "viewer/' "editor," and "manager" to the three types of roles defined.
  C. Create and assign three new Salesforce profiles according to the three types of roles defined.
  D. Assign "Einstein Analytics Explorer" licenses to users that should only view the dashboard, and assign "Einstein Analytics Developer" licenses to users that should be able to create datasets and dashboards.
  A. Create and assign Salesforce permission sets according to the three types of roles defined.

• Question 148:

  What do you have to assign to users before they canaccess Analytics?

  A. Analytics permission set license (PSL)
  B. Permission set with at least one Analytics user permission
  C. Username and password
  D. A and B
  E. B and C
  D. A and B

• Question 149:

  The Universal Containers company used Einstein Analytics to create two datasets:

  Dataset A: contains a list of activities with an "activitylD" dimension and a "userlD" dimension Dataset B: contains a list of users with a "userlD" dimension

  The team wants to delete from Dataset A all activities related to users in Dataset B.

  How can an Einstein Consultant help them achieve this?

  A. Use the dataflow transformation "delete"and set "userlD" as the deletion ID.
  B. Use a combination of dataflow transformations: "augment" and "filter."
  C. Use an external ETL tool to extract both datasets and delete records.
  D. Use the recipe operation "delete" and set "userlD" as the deletion ID.
  B. Use a combination of dataflow transformations: "augment" and "filter."

• Question 150:

  A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.

  Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robustmodel?

  A. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
  B. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
  C. Go back to the datapreparation and reduce the number of fields to less than 30 in order to produce a story.
  D. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors thatwere omitted in the first run and assess their impact.
  D. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors thatwere omitted in the first run and assess their impact.

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  https://medium.com/@kshannon565/ea-certification-study-guide-part-3- einstein-discovery-story-design-70ffbe4666c2