Salesforce Certified CRM Analytics and Einstein Discovery Consultant CRM Analytics and Einstein Discovery Consultant Dumps in PDF

Free Salesforce CRM Analytics and Einstein Discovery Consultant Real Questions (page: 8)



Universal Containers has a Sales Manager dashboard- They have a compare table that displays the count of Customers and the Sum of Annual Revenue per year and per Account type. A consultant is asked to add more groupings to enhance details about their customers.

What is the maximum number of grouping columns that the consultant must be aware of in order to continue using a compare table versus creating the query using SAQL?

  1. 8
  2. 4
  3. unlimited
  4. 10

Answer(s): B



A consultant wants to optimize data loads by extracting Salesforce objects using independent Einstein Analytics dataflows ahead of time.
Which construct should be used to accomplish this?

  1. Augment
  2. Dataflow
  3. Clone
  4. Data Sync (Replication)

Answer(s): A



A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.

Which two actions must be performed when writing the SAQL query?

Choose 2 answers

  1. Determine if the timeseries required parameter, prediction interval, should be 80 or 95.
  2. Investigate which prediction model is best for the data available.
  3. Validate that there is enough data in the dataset to make a good prediction.
  4. Include the fill SAQL statement to fill any missing dates.

Answer(s): C,D



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?

  1. Use the dataflow transformation "delete" and set "userlD" as the deletion ID.
  2. Use a combination of dataflow transformations: "augment" and "filter."
  3. 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.

Answer(s): B



Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?

  1. Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width.
  2. Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type.
  3. Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device.
  4. Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.

Answer(s): D



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