We're so confident of our products that we provide no hassle product exchange.
Adobe Journey Optimizer Business Practitioner Professional Sample Questions:
1. An offer manager has just added a new "25% Off Welcome Discount" offer to the Offer Library. They need this offer to be included in an existing dynamic collection called "Welcome Offers," which is configured to automatically include all offers where the `category` attribute is "Welcome".
What is the next step the manager must take to get the new offer into the collection?
A) Edit the new offer's properties and set its `category` attribute to "Welcome".
B) Manually edit the "Welcome Offers" collection and add the new offer.
C) Re-publish the collection to force it to refresh its contents.
D) Nothing. The offer will be added automatically without any changes.
2. A loyalty program manager needs to update a member's profile after they complete a specific action in a journey, such as setting their `lastActivityDate` attribute to the current date and time.
Which journey activity should the manager use to perform this profile update?
A) A Data Source activity
B) An Action activity
C) A Condition activity
D) An Update Profile activity
3. An events marketing manager has returned from a trade show with a CSV file of all booth attendees. They need to add these attendees to a new "Post-Event Nurture" audience, which will also include some existing US-based customers.
While working in the Audience Composition canvas, which activity should the manager use to add the profiles from the imported CSV file?
A) Split
B) Audience
C) Exclude
D) Enrich
4. A journey starts with an Event activity.
What is a key piece of information that MUST be configured within this activity to link the incoming event to a customer profile?
A) The journey's start and end dates.
B) A specific Identity Namespace.
C) The schema that the event payload must adhere to.
D) The name of the upstream data source.
5. 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) Neither treatment is a clear winner, and the test should be run again.
B) Treatment A should be chosen because its confidence level is exactly 95%.
C) Treatment B is the winner because it has the highest open rate and a confidence level above 95%.
D) The experiment is invalid because the holdout group's open rate is too low.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |
By Fanny
