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Einstein-Analytics-and-Discovery-Consultant – Salesforce Einstein Analytics and Discovery Consultant(SU19)

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Showing 4–6 of 10 questions

Question 4

An Einstein Analytics team created a funnel chart to show the number of opportunities in each stage. The managers who use the chart report that the tunnel shows stages in alphabetical order instead of sales cycle order.

In which two ways can a consultant help them address this issue? (Choose two.)

Select all that apply, then click Submit answer.

  • ○

    Use a dashboard JSON to rename stages
  • ○

    Use a dataflow to rename the stages with a preceding number
  • ○

    Use a dataflow to sort the stages by their internal name
  • ○

    Use a dataset XMD to rename stages
Question 5

A company created a dataset myExternalDataset. It contains a dimension, called UserRegion, that is populated by the standard User object’s picklist: Region.

The company has security requirements for this dataset:

1. Only a subset of users should be able to access the dataset.

2. Users who can access the dataset should see only data that belongs to their region.

In which two ways can an Einstein Analytics consultant help them implement these requirements? (Choose two.)

Select all that apply, then click Submit answer.

  • ○

    Use a security predicate in the dataset to users can see only rows belonging to their respective regions.
  • ○

    Save the dataset under a new application and give “viewer” access to a public group containing the list of users allowed to see the dataset.
  • ○

    Save the dataset under “My Private App” so only a subset of selected users can access the dataset.
  • ○

    Create a sharing rule in Salesforce based on the Region field in the user object and set the dataset to inherit sharing from Salesforce
Question 6

A dataset is ready for analysis in Einstein Discovery.

What is the first step a consultant should take after the data is loaded?

Select an option, then click Submit answer.

  • ○

    Load the data into Einstein Analytics
  • ○

    Analyze data columns and decide which, if any, to drop
  • ○

    Identify data types and define the appropriate data as numeric
  • ○

    Produce a graph of the data to analyze