EMT Practice Test

1. Question Content...

---

Question1: After adding styling properties to a headline element using the CSS Editor and saving an experience, the Adobe Target Business Practitioner was asked to edit the styling changes and only keep a modification that was made to change the color.
How can this task be done in the Visual Experience Composer?

Question2: For which audience source is It possible to edit the audience definition within Adobe Target?

Question3: One of the distribution centers for an eCommerce site is down and the marketing team wants to display a message on the homepage to let customers know that shipping will be delayed.
What is the best way to create an activity that will target only the affected zip codes?

Question4: Why must primary and secondary success metrics be determined pre-test and not chosen or adjusted after activation? (Choose two.)

Question5: What is one characteristic of strong success metrics?

Question6: In the Visual Experience Composer. Experience 6 was created using multiple style modifications. Most of these modifications need to be repeated in two additional experiences within the activity.
Which option automatically recreates all of the modifications from Experience B while adding a new experience to the activity?

Question7: It has been identified as pan of an A/B test that a conversion should only be valid if the user has clicked on a specific link before converting.
To which page of the Visual Experience Composer three-step guided workflow should an Adobe Target Business Practitioner add this dependency?

Question8: A large bank would like to test different Call To Action Buttons on their email. Which composer should they use to execute the test?

Question9: A product owner at a bank manages six different credit cards.
The product owner wants to run a test that helps users easily compare credit card features to help the user feel more confident to complete an application. The mam KPI of the test is application completions.
Which hypothesis matches the request?

Question10: A marketer has a number of alternative image assets available and they would like to use machine learning to decide the most appropriate image to deliver to each individual visitor, based on real-time behavioral data.
Which activity type should an Adobe Target Business Practitioner recommend using?

Question11: An A/B test was conducted to test different variations of copy on the homepage. During the analysis of the results, it was identified that different copy resonated better with different audiences.
Which activity type should an Adobe Target Business Practitioner recommend using to ensure that the most effective copy is displayed to the right audience?

Question12: When testing an XT Activity with experiences targeted to 'US Visitors'. "Canada Visitors'', and "All Visitors", the following occurs:
The Adobe Target Business Practitioner always qualifies for the "All Visitors' Experience but is expecting to see the "US Visitors" Experience.
What might be causing this behavior? (Choose two.)

Question13: A client wants to adjust the counting methodology used in a report.
What are the three counting methodologies available in report settings, for any given report?

Question14: An Multivariate test has been running for a couple of weeks, but there is no data shown in the activity report. Which two steps should be recommended to troubleshoot the issue with the activity? (Choose two.)

Question15: A team wants to run a test on a lead generation form. The test will analyze if reducing the number of form fields from 10 to 6 increases Product A newsletter signups. The KPI is newsletter sign-up form submits. While any lift is considered a win. if the team realizes a 10% or greater lift, they will immediately roll out these changes across all of their newsletter sign-up forms without additional testing.
Their current hypothesis is as follows: If we make it easier for our visitors to complete our Product A newsletter sign-ups by decreasing the number of form fields by 4. we will increase newsletter sign-ups by 10%.
How could this hypothesis be improved?