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Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error

page once the dashboard is opened.

How should the consultant solve this issue?

AClone the dashboard and replace the existing one on the Lightning page with the new one

BCheck the Analytics Studio app to see if user's access has been removed.

COpen the Lightning page, remove the dashboard component, reinsert it, and save the page.

Question 2

A versioning feature allows CRM Analytics users to be added as Publishers and make changes separately while a 'Live' version is still being used by other users. Once the changes are complete, the user can then set their updated version as the Live version.

Which CRM Analytics item is this leveraged for?

AApp

BDataset

Cgoats

Question 3

The sales team at Cloud Kicks is requesting that datasets for their dashboards be refreshed every hour. The CRM Analytics consultant investigates if this is possible and finds that the dashboards use five datasets created from two recipes. The first recipe takes 43 minutes to run and the second recipe takes 25 minutes to run.

Which consideration should the consultant keep in mind?

AThe number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.

BThe total duration of the recipe runtimes can exceed the limit of 1 hour.

CThe number of concurrent recipe run limits that are associated with the org.

Question 4

In Data Alerts, a field named Region is 96.5% North Americ

a. 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?

AChoose the recommended action ''keep only North America'' and exclude all of the other rows.

BUnderstand if client should only 'focus on North America'' or drop the field, as it does not have valuable information.

CAppend more rows of data with 'other values of Region'' to balance the dataset properly.

Question 5

After the initial creation of a model, the first model insight explains

93% of the variation of the outcome variable. This is unusually high.

What is the most likely reason for this?

AThe dataset contains multiple dominant values.

BThe model contains too many outlier values.

CThe outcome variable may be causing data leakage.

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