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Free ANC-101 Exam Braindumps (page: 14)

Page 13 of 53
PDF with 209 Questions

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 robust model?

  1. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
  2. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
  3. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
  4. 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 that were omitted in the first run and assess their impact.

Answer(s): D

Explanation:

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



A list widget is added to a dashboard with existing charts and tables. What must be true for the list widget to facet the dashboard charts and tables using widget properties?

  1. The list, chart, and table steps must share a common name.
  2. The list, chart, and table steps must share common dimensions from different datasets.
  3. The list, chart, and table steps must share the same dataset.
  4. Chart and table steps must have their own list widgets.

Answer(s): C



An Einstein Analytics consultant has been asked to refactor a dashboard so that it loads more quickly. 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. Create a second page on the dashboard and move the table to this new page.
  2. Create a link to download the list of opportunities as an Excel file.
  3. Create a Visualforce page and display a list view of the opportunities on this new page.
  4. Create a second dashboard and move the table to this new dashboard.

Answer(s): A

Explanation:

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



An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?

  1. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
  2. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
  3. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
  4. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.

Answer(s): C

Explanation:

https://help.salesforce.com/articleView?id=bi_edd_wb_native.htm&type=5






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