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Get All Adobe Campaign Classic Business Practitioner - Certified Expert Exam Questions with Validated Answers
| Vendor: | Adobe |
|---|---|
| Exam Code: | AD0-E327 |
| Exam Name: | Adobe Campaign Classic Business Practitioner - Certified Expert |
| Exam Questions: | 50 |
| Last Updated: | January 10, 2026 |
| Related Certifications: | Adobe Campaign Certification |
| Exam Tags: |
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A retail company would like to send a promotional offer to their loyalty customers which is redeemable by a phone call to their customer call center The segmented population for the send is 23,500 and the customer center is equipped to redeem 5,000 offers each day.
How would a business practitioner ensure that the offers are controlled in a sequential send?
To manage the flow of promotional offers and ensure the call center can handle the redemption volume effectively, the business practitioner would need to implement a controlled delivery process. By creating an incremental send for 5,000 offers, the practitioner can distribute the promotional offers in manageable batches. The application of the Filtering Typology rule serves to halt the send process once the daily limit of 5,000 offers is reached, ensuring that no more than 5,000 customers are contacted per day. This approach prevents overwhelming the call center and helps maintain an organized redemption process. The typology rule will filter out any additional sends after the daily quota has been met, resuming only the next day with the next batch of 5,000 until the entire segment of 23,500 is covered. Reference: The response is based on the understanding of typology rules and send management within Adobe Campaign Classic or similar campaign management systems, ensuring the delivery process aligns with the operational capacity of the call center.
A client has requested that a business practitioner build a workflow to send an email every day at 5:00 pm to everyone who made a purchase in the previous 24 hours.
Which workflow activities are necessary to meet this requirement?
The requirement is to send an email every day at a specific time to individuals who have made a purchase in the last 24 hours. To achieve this, an Incremental Query activity is suitable because it allows the workflow to query the database for records that have changed (in this case, made a purchase) since the last execution. This activity should be scheduled to run daily. The Delivery activity is then used to send the email to the population identified by the Incremental Query. There's no need for a Cell activity as there's no mention of segmenting the population further, and no Intersection activity is required as there's no secondary condition to satisfy. Reference: This is based on the functionality of Incremental Query activities within Adobe Campaign Classic, which are designed to capture data changes over a period of time for targeted communications.
A business practitioner created a budget campaign template to control scheduled invoiced marketing. After creating the campaign template and defining the job parameters (as shown below), the business practitioner was unable to see the link to configure budget details.

What should they configure to enable budget detail properties?
https://experienceleague.adobe.com/docs/campaign-classic/using/mrm/controlling-costs.html?lang=en
In the context of Adobe Campaign Classic, budget details for a campaign are typically managed through the 'Expenses and Objectives' functionality. This feature allows business practitioners to set and track the budget and cost-related details for their marketing campaigns. When this option is activated in the campaign template's advanced settings, it enables the functionality to enter and manage financial details such as budgeted amounts, actual costs, and associated financial objectives. Therefore, to enable budget detail properties in a budget campaign template, the business practitioner should select the 'Expenses and Objectives' option and set its value to 'Yes' in the 'Advanced settings' tab under the 'Configuration' section as shown in the interface provided.
A business practitioner is creating a workflow with a querying population of 100 records. At the end of the workflow, the email delivery has a success status of 98. When the business practitioner checks the delivery logs, there are 110 successfully delivered emails.
What is a reason for 110 successfully delivered emails?
One reason for 110 successfully delivered emails when the querying population is 100 records is thatthe delivery logs are counting the email deliveries plus the seed addresses. Seed addresses are additional email addresses that you can add to your delivery target for testing purposes. They are not part of your querying population but they are included in your delivery logs.
In Adobe Campaign, delivery logs are stored in the out-of-the-box schema "Recipient delivery logs(nms:broadLogRcp)".
How is "Recipient delivery logs(nms:broadLogRcp)H linked to "Recipient(nms:recipient)" and *Delivery(nms:delivery)"?
In Adobe Campaign, ''Recipient delivery logs(nms:broadLogRcp)'' is linked to both ''Recipient(nms:recipient)'' and ''Delivery(nms:delivery)''D.
The ''Recipient delivery logs(nms:broadLogRcp)'' schema contains information about the delivery logs for each recipient. It is linked to the ''Recipient(nms:recipient)'' schema, which contains information about each recipient, and the ''Delivery(nms:delivery)'' schema, which contains information about each delivery.
In Adobe Campaign, the 'Recipient delivery logs' schema is designed to log each delivery action for each recipient, thus it logically must be linked to both the 'Recipient' and 'Delivery' schemas. The 'Recipient delivery logs' schema typically contains foreign keys that reference the primary keys of both the 'Recipient' schema (to identify the recipient of a delivery) and the 'Delivery' schema (to identify the specific delivery sent). Reference: This answer is informed by the relational database structure and design of Adobe Campaign, which often uses linking tables like 'Recipient delivery logs' to establish many-to-one relationships between data entities.
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