Which of the following attributes can be used for Smart Insight filtering? Note: There are 3 correct answers to this question.

• A.Attribution channel - You can filter by the channel responsible for the purchase (currently email, In- app, and Push campaigns).
• B.Expired Coupon - You can filter for users whose coupon has expired.
• C.Email campaign name - You can filter contacts based on the campaign's name in Emarsys.
• D.Price amount - You can filter orders based on a price range for items purchased in those orders.
• E.External ID - you can filter contacts by this ID if you use an external ID to identify your customers, products, or stores.

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You delete a contact in SAP Emarsys. Which of the following happens? Note: There are 3 correct answers to this question.

• A.The contact purchase data in Smart Insight is deleted.
• B.The contact is deleted from all contact lists.
• C.The contact rewards data in Loyalty is deleted.
• D.The contact is deleted from the SAP Customer Data Platform immediately.
• E.The contact is deleted from all marketing campaigns, past and present.

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The image below shows the summary page of your mobile app tutorial program. What does "583 Messages Triggered" represent? Note: There are 2 correct answers to this question.

• A.It is the number of SMS messages sent.
• B.It is the number of all messages sent in the Interactions program, regardless of the channel.
• C.It is the number of contacts who entered the program.
• D.It is the number of mobile push messages sent.

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You created link categories under Management > Link Categories. Where can you utilize them? Note: There are 2 correct answers to this question.

• A.Analytics > Trends
• B.Contacts > Segments
• C.Main Dashboard > Email Results widget
• D.VCE Email Editor > Predict Mail Category widget

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You want to connect your own hosted databases to SAP Emarsys Customer Engagement using Relational Data. Which of the following connection types are available? Note: There are 3 correct answers to this question.

• A.MySQL
• B.Oracle database
• C.Snowflake
• D.IBM DB2
• E.Google BigQuery

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