AD0-E327 Practice Exam Questions with Answers Adobe Campaign Classic Business Practitioner - Certified Expert Certification

To meet the campaign requirements, the practitioner should first combine populations A and C using a Union activity, which will create a population that includes anyone from either group. Then, to identify those who should be excluded, populations B and D should be combined using an Intersect activity. This will identify recipients who are in both B and D. Finally, the Exclude activity should be used to remove anyone found in the intersection of B and D from the union of A and C. This results in a final targeting population that includes anyone from A or C but excludes anyone who is also in both B and D.References:The configuration is based on set theory and logical operations commonly used in database querying and manipulation, which are integral to creating targeting populations in campaign management systems like Adobe Campaign Classic.

In a multi-reviewer approval process within Adobe Campaign, the approval job is typically not considered complete until all assigned reviewers have responded. This ensures that the delivery receives adequate scrutiny and that all feedback is taken into account before proceeding. It is a consensus-driven approach to ensure that multiple stakeholders agree on the content and structure of the campaign delivery before it is finalized.References:The multi-reviewer approval process is part of the campaign management workflow in Adobe Campaign, designed to facilitate collaborative review and approval of campaign content.

The metric that identifies how many of the targeted recipients opened a delivery in the Tracking Indicators report is Distinct opens for the population reached. Therefore, option B is the correct answer.

The other options are:

• Sum of opens for the population reached: This metric identifies the total number of opens for the population reached.
• Distinct clicks for the population reached: This metric identifies the total number of clicks for the population reached.
• Recipient clicks for the population reached: This metric identifies the total number of clicks for the population reached, but only counts one click per recipient.

During a workflow, if an error occurs during the enrichment activity, it often indicates a mismatch or configuration issue with the data being processed. If the data loading activity has not been configured correctly to format the recipient ID field according to the expected format in the Adobe Campaign database, the enrichment activity will fail to reconcile the customers. This is because the enrichment relies on matching the formatted recipient IDs in the workflow with those in the target schema. If there's a formatting discrepancy, the process cannot successfully match and enrich the data, leading to an error.References:This explanation is derived from general knowledge of data integration and workflow processes in systems like Adobe Campaign Classic, where data loading and enrichment activities are key components of campaign workflows.

To create a cross-delivery workflow where an email is followed by an SMS, it's important that the workflow can pass the target recipients from the email delivery to the SMS delivery. Checking the "Generate an outbound transition" option in the workflow execution settings of the email delivery creates an output population that can be used as the input for the subsequent SMS delivery activity. This ensures that the recipients who received the email are then considered for the SMS, maintaining the flow of communication across the different delivery channels.References:This process aligns with cross-channel campaign management, where the flow of the recipient data from one delivery channel to another is managed within a campaign workflow.

a data extraction activity allows you to extract data from Adobe Campaign database and export it to a file1. You can select the data to be extracted, the file format, and the output location1.

The handle groupings option lets you group data by one or more criteria and apply aggregate functions such as count, sum, average, etc2. You can also filter the final result of the aggregate by using a having clause2.

the step that should be taken to filter the final result of the aggregate for customers who have ordered more than 10 times would be option A. Handle groupings (GROUP BY + HAVING) would allow you to group customers by their order count and filter those who have ordered more than 10 times.

In the context of data extraction, particularly when working with aggregate data such as counting the number of orders per customer, the SQL clauses GROUP BY and HAVING are used. The GROUP BY clause is used to aggregate the data according to one or more columns – in this case, the customer identifier. The HAVING clause is then used to filter the aggregated results based on a condition – in this case, customers who have ordered more than 10 times. This approach effectively filters out the final result to include only customers meeting the specified ordering criteria.References:The use of GROUP BY and HAVING clauses is standard in SQL for performing aggregations and filtering on aggregate data.

After clicking “Auto-Detect Format,” the business practitioner should B. Verify the file format, specifically date formats that need to be set correctly.

While “Auto-Detect Format” can be helpful in identifying the format of the file, it is important to verify the file format, specifically date formats that need to be set correctly. This can help ensure that the data is loaded correctly and that there are no issues with the data.

Adobe Campaign allows you to create queries that filter recipients based on various criteria, such as their profile attributes, delivery properties and tracking logs. You can use queries to segment your audience and target specific groups of recipients for your campaigns2.

To achieve the requirement of sending a follow-up email delivery to those customers who did not open the previous delivery labeled “New Offers”, you need to create a query that filters recipients based on their product, package, delivery label and tracking logs. You need to use the Tracking Logs (trackingLog) dimension and check if it does not exist for each recipient. This means that there is no tracking information for opening or clicking on links in the previous delivery3.

https://experienceleague.adobe.com/docs/campaign-classic/using/sending-messages/tracking-messages/accessing-the-tracking-logs.html?lang=en

For the insurance company to send a follow-up email to customers who did not open the "New Offers" delivery, the practitioner needs to identify customers who have both 'Car' and 'PackageA' and who were sent the initial email but did not open it. The correct logic would be to select recipients based on product and package criteria and then check whether there is an absence of tracking logs for opens, indicating that the email was not opened. The expression "Tracking Logs (trackingLog): do not exist" serves this purpose by filtering out all recipients who have an open event in their tracking logs for the specified delivery.References:This explanation is derived from the standard practice of tracking recipient interactions in email marketing campaigns, where tracking logs are used to determine opens, clicks, and other recipient actions.

To avoid leaving a workflow in a paused state during development or testing, adding a Stop activity ensures that the workflow is forcibly stopped after all the activities have been processed. Additionally, adding an End activity at the end of a workflow is a standard practice for defining a clear endpoint, after which the workflow will not proceed. Both these activities help prevent workflows from remaining in an unintended paused state. It's important to use these activities as they are designed to provide a clean termination of the workflow's execution.References:These recommendations are based on standard practices within workflowmanagement in automation systems like Adobe Campaign Classic, where Stop and End activities are common features.

To maintain an updated audience with the latest subscription status, including new customers, the most effective approach would be to use a dynamic list that is updated daily. The term "Purge and Reuse" implies that the list will be cleared and repopulated with current data on a regular basis. This approach ensures that the audience list always reflects the most recent subscription statuses, including those of any new customers who have subscribed since the last update. A list of type "Group" would typically be used for static segmentations and wouldn't be as dynamic as a list of type "List".References:This answer is based on the standard practice of audience management in campaign systems where dynamic lists are used to reflect real-time or frequently updated data.