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| Section | Weight | Objectives |
|---|---|---|
| Content Authoring | 20% | - Content Creation
|
| Foundations of Adobe Experience Platform | 20% | - Audience and Data Management
|
| Offer Decisioning | 12% | - Offer Management
|
| Campaign and Journey Optimization | 48% | - Build Customer Journeys
|
1. A technical marketer is explaining the offer selection process to a new team member. They describe how the system narrows down offers for a given profile.
When a profile is evaluated against a decision, what is the correct sequence of steps the Offer Decisioning engine performs?
1. The engine determines which offers the profile is eligible for based on each offer's rules.
2. The engine applies frequency capping and other constraints.
3. The engine selects the best offer(s) from the eligible pool based on ranking criteria.
4. The engine filters the offers based on the placements requested.
A) 1, 3, 2, 4
B) 4, 1, 3, 2
C) 1, 4, 3, 2
D) 4, 1, 2, 3
2. A marketing automation architect is designing a scalable content system. The architect needs a way to reuse complex personalization logic, such as an `if/else` statement that checks multiple profile attributes to display a specific greeting.
Which type of fragment should the architect use to create this reusable logic?
A) Expression fragment
B) Content fragment
C) Dynamic fragment
D) Header fragment
3. A marketing manager wants to prevent customers from receiving too many messages in a short period. The rule is that no customer should receive more than one promotional message (email or SMS) per day.
Which two components must be configured to enforce this rule across all promotional campaigns and journeys? (Choose 2.)
A) A journey-level property to cap entrances.
B) A 'Condition' activity in each journey to check the last contact time.
C) A suppression list containing all recently contacted customers.
D) A global Frequency Rule defining the 1-message-per-day limit.
E) A "Promotional" category applied to all relevant messages.
4. What is the key difference between a dataset that is enabled for Profile and one that is not?
A) Only Profile-enabled datasets can have a schema applied to them.
B) Data ingested into a Profile-enabled dataset is added to the Real-Time Customer Profile, while data in other datasets remains separate.
C) Datasets not enabled for Profile can only be used for analytics, while Profile-enabled datasets can be used for journeys.
D) Datasets not enabled for Profile are limited to 1GB in size.
5. 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 'Read Audience' activity scheduled to run daily, followed by a condition to check if the webinar date is in 2 days.
B) Start with a 'Reaction' event that listens for a registration confirmation.
C) Start with an 'Audience Qualification' activity for a segment of "all webinar registrants".
D) Start with a scheduled 'Read Audience' activity that runs hourly to check for registrants.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: D,E | Question # 4 Answer: B | Question # 5 Answer: A |
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