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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

A) Predict Missing Values
B) Cluster
C) Timeseries Forecasting

2. A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A) Drop the field as it will be difficult to get future respondents.
B) Fill in the missing data with an average of all incomes.
C) Apply the predict missing values transformation in recipe nodes.

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

A) Create multiple layouts and allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.
B) Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets to ensure the content is appropriate for the device screen size.
C) Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width

4. A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "*&**(&*(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

A) The column header is auto-updated to "Column" + column number.
B) The column header Is set to *&**(&*(%.
C) The columnheaderis prefixed with "X" upon upload.

5. Exhibit.

Universal Containers has a dashboard for sales managers to visualize the Year Over Year (YoY) growth of their customers. The formula used is:
YoY = [(This Year - Last Year) / Last Year] %
Based on the graphic, when there is not an account in the Last Year column, the YoY Growth shows null results. The sales managers want to replace it with 100% value.
What is the correct function to use?

A) substr()
B) coalesce()
C) replace()

Solutions: