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

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

• Question 91:

  An Einstein Consultant receives a request from the Marketing department to help them understand lead conversion. Presently, they are unaware of the percentage of leads that get converted to sales. They hope to view results by account manager, value, and quarter. The data is there, so the consultant can add it to the marketing dashboard.

  How should this metric be calculated?

  A. Create a new step in the dashboard using a compare table and define a formula.
  B. Create a formula field on the lead object in Salesforce and add it to the dataset.
  C. Create acomputeExpression in the dataflow.
  D. Create a new step in the dashboard using a compare table and the running total function.
  C. Create acomputeExpression in the dataflow.

• Question 92:

  A company uses role hierarchy to implement data security in Salesforce. They want the same role-hierarchy-based security model to apply in Einstein Analytics, but want the users in a role to see data owned by other users in the same role.

  Using the "flatten" transformation, which attribute setting achieves this requirement?

  A. Set theattribute "selfjield" to true.
  B. Set the attribute "selfjield" to false.
  C. Set the attribute "include_self_id" to true.
  D. Set the attribute "include_self_id" to false.
  C. Set the attribute "include_self_id" to true.

  ---

  https://help.salesforce.com/articleView?id=bi_integrate_flatten_transformation_operation.ht mandtype=5

• Question 93:

  When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

  A. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
  B. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
  C. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
  D. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
  B. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.

• Question 94:

  Exhibit:

  

  A shipping company created a dataset. "Bookll," containing budget per region per month for the first six months of 2018. The dataset is shown in the graphic. Now, they want to create a lens showing the totalbudget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.

  How can an Einstein Consultant help this company build this lens?

  A. Use a SAQL query leveraging the "fill" statement with a"partition" parameter.
  B. Use a SAQL query to create fake rows for any data that is missing data from the dataset.
  C. Use a "Compare Table" and use the "Show summary" option.
  D. Use a "Compare Table" and add a column leveraging the "Running Total" function.
  A. Use a SAQL query leveraging the "fill" statement with a"partition" parameter.

• Question 95:

  How many external files can be uploaded to Einstein Analytics on rolling 24 hour basis?

  A. 100 files per dataset
  B. 300 files per dataset
  C. 500 files per dataset
  D. 50 files Per dataset
  D. 50 files Per dataset

• Question 96:

  The Universal Containers company thinks it knows everything about its business. However, Einstein Discovery surfaces an unexpectedpattern that is concerning. They call in departmental experts and hold a meeting to discuss next steps with an Einstein Consultant.

  What should the consultant advise as the next action'

  A. Consult a Data Scientist for further analysis.
  B. Determine if thepattern is a data issue or a new insight.
  C. Filter out the data that causes the unexpected pattern and analyze the new results.
  D. Accept the new pattern and have confidence that Einstein knows the business as accurately as the customer.
  D. Accept the new pattern and have confidence that Einstein knows the business as accurately as the customer.

• Question 97:

  Which of the following is true about the Service Analytics Overview dashboard?

  A. It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.
  B. It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.
  C. It's available on desktop and mobile.
  D. It's a great place to start your analysis.
  E. All of the above.
  E. All of the above.

• Question 98:

  What is the test calledthat helps to identify categories that exhibit a pattern outside the overall average?

  A. Null hypothesis test
  B. Significance level test
  C. Critical region test
  D. Chi-square test
  E. T-test
  E. T-test

• Question 99:

  Why would you use the Actions menu in a chart?

  A. To expand the time period shown in a dashboard
  B. To rearrange widgets in dashboards
  C. To post to Chatter
  D. To create workoutplan for you and your team
  C. To post to Chatter

• Question 100:

  The edgemart transformation gives the dataflow access to anexisting, registered dataset that can contain Salesforce data, external data, or a combination of both. Where is an edgemart transformation specified?

  A. Dataflow Editor
  B. Recipes Editor
  C. Step Editor
  D. Settings
  A. Dataflow Editor

  ---

  https://help.salesforce.com/articleView?id=bi_integrate_edgemart_transformation.htmandtype =5