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1. An event marketing coordinator is setting up a journey to send a reminder email for an upcoming webinar. The journey should start exactly 48 hours before the webinar for each registered user. The webinar's specific date and time is stored as a `webinarDate` attribute on each registrant's profile.
How should the entry and timing of this journey be configured?

A) Start with a 'Reaction' event that listens for a registration confirmation.
B) Start with a 'Read Audience' activity scheduled to run daily, followed by a condition to check if the webinar date is in 2 days.
C) Start with a scheduled 'Read Audience' activity that runs hourly to check for registrants.
D) Start with an 'Audience Qualification' activity for a segment of "all webinar registrants".

2. A campaign manager wants to optimize a campaign by testing three different hero images (Treatment A, B, and C) to see which one generates the most clicks. To accurately measure lift, they also want to send the original version to a small portion of the audience as a baseline.
What should the content experiment configuration look like?

A) Two treatments (A, B) and a control group, which will automatically receive a third version.
B) Three treatments (A, B, C) and a hold-out group, with the audience split between all four.
C) One experiment for A vs. the original, and a second experiment for B vs. C.
D) Three treatments (A, B, C) with the audience split evenly between them.

3. A marketing automation specialist must urgently stop a live journey due to a critical error reported in its content.
What happens to the profiles that are currently paused inside a 'Wait' activity within that journey at the moment it is stopped?

A) They are immediately moved to the 'End' of the journey.
B) They are permanently stopped at their current position and will not proceed further.
C) They remain in the 'Wait' activity indefinitely.
D) They are allowed to complete the 'Wait' activity and then proceed to the next step.

4. A marketing team is running a content experiment on an email's subject line to see which version drives more opens. They configure two treatments (A and B) and a holdout group. After the campaign runs, they review the results.
The report shows:
- Treatment A: 22% Open Rate, 95% Confidence
- Treatment B: 25% Open Rate, 98% Confidence
- Holdout: 15% Open Rate
How should the business practitioner interpret these results?

A) The experiment is invalid because the holdout group's open rate is too low.
B) Treatment A should be chosen because its confidence level is exactly 95%.
C) Neither treatment is a clear winner, and the test should be run again.
D) Treatment B is the winner because it has the highest open rate and a confidence level above 95%.

5. A retail marketing strategist is designing a "flash sale" journey. The journey is triggered by a "FlashSale_Started" business event, which contains the sale's end time in its payload. They want to send a "Last Chance" reminder email exactly 1 hour before the sale ends.
How should they configure the timing for this "Last Chance" email within the journey?

A) Use a 'Wait' activity with a fixed duration calculated manually before the journey starts.
B) Use a 'Wait' activity that is configured to pause until a specific date and time, calculated using an expression that subtracts one hour from the end time provided in the triggering event's payload.
C) Use a 'Reaction' activity with a timeout equal to the sale's duration minus one hour.
D) Use a 'Condition' activity to check the current time against the event's end time.

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