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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

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

A) Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width
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 allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.

2. A CRM Analytics consultant has been asked to add a custom object to existing recipe. When trying to locate the object, the consultant can see only Direct Data and NOT the SFDC Local data sync.
How should the consultant resolve this?

A) Clone the recipe, add the new object to the recipe, and run the recipe.
B) Create a new data sync connection, run the sync, and add to recipe.
C) Turn on data syne for the object, run the sync, and then add to recipe.

3. A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?

A) Join
B) Aggregate
C) Flatten

4. The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back.
However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?

A) Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.
B) Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
C) Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.

5. The CRM Analytics consultant at Cloud Kicks (CK) notices that a specific dashboard is showing a different date and time from their locale. Upon investigating, they find that the recipe and datasetswere created from a locale with a PST time zone while CK is in the CET time zone.
What led to this problem?

A) The developer turned off dynamic time zone in CRM Analytics settings.
B) Data within datasets is modified for localization or internationalization.
C) The dataset metadata locale Is not overridden by Individual user locale settings.

Solutions: