A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?
MultipleChoice
A user is able to access the dashboards, lenses, and datasets of a particular app but is unable to change the name of the specific app.
What is causing the issue?
OptionsMultipleChoice
A model created with a GLM algorithm produced unsatisfactory results.
When re-running the model, which type of algorithm should the consultant use to improve the results?
OptionsMultipleChoice
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?
OptionsMultipleChoice
In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in
green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?
OptionsMultipleChoice
CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.
OptionsMultipleChoice
A CRM Analytics consultant wants to move a dataflow to a recipe in order to use aggregation nodes. To do so, they use the Dataflow to Recipe convertor and the recipe runs successfully.
However, they are unable to see the aggregated data in the dataset.
What is causing the issue?
OptionsMultipleChoice
A model created with a GLM algorithm produced unsatisfactory results.
When re-running the model, which type of algorithm should the consultant use to improve the results?
OptionsMultipleChoice
A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores and sees this chart. The visualized tooltip belongs to the blue bar for San Francisco, reflecting, November daily sales quantities in that city specifically.
What two conclusions can be drawn from this insight?
OptionsMultipleChoice
A training dataset Is being prepared for a Einstein Discovery story. One skewed with outliers. at action should the Einstein consultant take?
Options