Free Access Salesforce.ANC-301.v2024-11-13.q123 Practice Test (Page 22)

Question 101

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?

A.The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.

B.The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country

C.The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.

D.November sales are higher than in other months. This November-effect is the strongest in San Francisco.

Question 102

What kind of insight is "What Is The Difference"?

A.Descriptive

B.Diagnostic

C.Predictive

D.Prescriptive

E.Selective

Question 103

A consultant is asked to configure a user to view a dashboard, within a designated app, without the ability to create and save lenses. After adding the user to the app, which action should the consultant take to implement this requirement?

A.Assign the Viewer role to the user.

B.Ensure the user has the Use Analytics permission.

C.Assign the Manager role to the user.

D.Assign the Editor role to the user.

Question 104

What's the best way to describe the template-info.json file?

A.It's a read-only file with all the user documentation for a template.

B.It's the boss of the template with all the information needed to create the app.

C.It makes sure that the app includes all the right Salesforce data.

D.It's automatically populated every time you create an app from the template.

Question 105

A consultant is creating a Churn Prediction model to identify customers who are not likely to renew their contract.
What is the appropriate action to take?

A.For the Churn Reason field, enable the ''This variable contains sensitive data'' box because it may contain sensitive customer behavior.

B.Replace nulls in the Churn Reason filed as 'No reason given'',

C.Exclude the Churn reason field from the dataset.

D.Exclude active customers (customer who have not churned) from the training dataset since their Churned) from the training dataset since their Churn Reason field are nulls.

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Question 101

Question 102

Question 103

Question 104

Question 105

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