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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. The marketing team at Cloud Kicks has five dashboards in an app. Four widgets are replicas of each other in three of the dashboards.
What is the best way to maintain these widgets?

A) Create/Edit the widgets individually on each dashboard.
B) Create/Edit a component for the widgets.
C) Create/Edit a lens and add each dashboard.

2. In Data Alerts, a field named Region is 96.5% North America. The consultant believes that this is an important field since the majority of sales is in the North American market.
What is the appropriate action?

A) Understand if client should only "focus on North America" or drop the field, as it does not have valuable information.
B) Append more rows of data with "other values of Region" to balance the dataset properly.
C) Choose the recommended action "keep only North America" and exclude all of the other rows.

3. The CRM Analytics consultant at Cloud Kicks is asked to make sure the data on the CRM Analytics dashboard be as real-time as possible.
It was agreed to set the sync refresh time to 5 minutes for one of the local connections. The org has a CRM Analytics Plus license but users are noticing that the earliest available time is 1 hour. The minutes option is not visible to the user.
What is causing the issue?

A) The earliest available time is 1 hour for CRM Analytics Plus license.
B) Setting up the schedule to 5 minutes feature is not available in sandbox orgs.
C) The consultant does not have the Edit CRM Analytics Dataflows permission assigned.

4. Universal Containers has a dashboard for sales managers. They need to visualize the percentage of their opportunities in the pipeline in a Gauge chart. They want to customize the chart to keep track if they are below or beyond the target.

Which widget parameters should a consultant use?

A) Reference Line, Markers, Conditional Formatting
B) Reference Line, Angle, Range Values
C) Range Values, Angle, Conditional Formatting

5. Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?

A) Use the recipe node "delete" and set "userID" as the deletion ID.
B) Use the combination of recipe transformations: "join" and "filter".
C) Use the "update" transformation and utilize the "filter" node.

Solutions: