Question 1

You want to build a comma-separated values (CSV) file and import it into SAP Emarsys Customer Engagement. Which of the following rules apply? Note: There are 2 correct Answer: to this question.

Options :

A : Do not use field values longer than 32 KB.

B : Always use UTF-8 encoding.

C : Do not use more than 128 columns.

D : When a field does not have a value, leave it empty.

Answer: B,D

Question 2

You are about to create your monthly email report and you want to see revenue results of two different campaigns next to each other. Where can you create this report?

Options :

A : Analytics > Trends > Revenue Analytics

B : Analytics > Trends > Comparison

C : Analytics > Trends > Revenue

D : Analytics > Trends > Trend Reporting

Answer: B

Question 3

Which statement correctly describes the data flow of web recommendations?

Options :

A : Recommendations are requested from SAP Emarsys Customer Engagement servers and are then displayed on the client website.

B : Recommendations are displayed on SAP Emarsys Customer Engagement servers using a PHP module.

C : Recommendations are requested from the end user’s email server by the JavaScript API then the returned recommendations are displayed by the same API.

D : Recommendations are requested from the end user’s browser by the JavaScript API then the returned recommendations are displayed by the same API.

Answer: D

Question 4

How are List-unsubscribes generated?

Options :

A : A recipient opts out by using the Unsubscribe link in the email header.

B : A recipient opts out by using the List-unsubscribe button at the top of the email client.

C : A recipient opts out by using the Unsubscribe link in the email footer.

D : A recipient changes his or her newsletter information in the account profile.

Answer: B

Question 5

The Health Check dashboard shows a web behavior error and a data source consistency error. Where you can find more information? Note: There are 2 correct Answer: to this question.

Options :

A : Predict Recommendations widget

B : Inspector bookmarklet

C : Database Growth widget

D : Predict Data Sources page

Answer: D

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