The SAP C_C4H225_11 dump has been designed in such a way that it will benefit both professionals and novices. Its interactive format and easy-to-understand content will make it easy to learn. It also eliminates the need for any coaching or extra help.
Question: 1
What can the plus signs (+) in the Email Analytics Overview page mean? Note: There are 2 correct answers to this question.
A. The plus sign can be expanded to show the preview.
B. The campaign has child campaigns (e.g., recurring or A/B test emails).
C. The campaign was sent with Send Time Optimization.
D. These are your most successful campaigns.
Answer : B
Question: 2
You want to prevent a specific coffee brand, "GALLO", from being recommended on your website, although it will still be available to purchase. How can you do this?
A. Use command (['include', 'brand', 'is', 'GALLO']) when requesting recommendations on coffee product
B. Use command (['exclude', 'brand', 'is', 'ALL']) on all pages.
C. Use command (['exclude', 'brand', 'is', 'GALLO']) when requesting recommendations on coffee products
D. Set available to false in product catalog for all products the brand.
Answer : C
Question: 3
You need to update some existing contacts records using the SAP Emarsys Customer Engagement API. What is the correct method to use?
A. GET
B. DELETE
C. PUT
D. POST
Answer: C
Question: 4
Which of the following are supported functionalities within the SAP Emarsys Customer Engagement plug-in for Shopify? Note: There are 2 correct answers to this question.
A. Automated triggering of Shopify e-commerce events as external events in SAP Emarsys Customer Engagement
B. Automated installation of the Web Recommender template in your webshop
C. Automated installation of the Web Extend data collection scripts on your Shopify themes
D. Automated creation of Interactions programs for Shopify events
Answer: A, C
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 answers to this question.
A. Predict Recommendations widget
B. Inspector bookmarklet
C. Database Growth widget
D. Predict Data Sources page
Answer: D