A.   Instance Settings

C.   SFTP Management

Explanation:
In the Adobe Campaign Classic Control Panel, IP allow lists are managed within the following sections:

• Instance Settings: This section allows administrators to configure IP allow lists at the instance level. By setting these lists, you control which IP addresses are permitted to access the Adobe Campaign instance, providing an essential security layer.
• SFTP Management: The IP allow lists for SFTP connections are managed within this section. It ensures that only authorized IP addresses can connect to the SFTP server, safeguarding data transfer operations.

These two sections, Instance Settings and SFTP Management, are specifically designed to manage IP access controls, providing flexibility and security for different aspects of Adobe Campaign operations.

C.   6 months

Explanation: In Adobe Campaign v8, the recommended data retention period for consolidated tracking data is typically set to 6 months. This timeframe strikes a balance between maintaining enough historical data for meaningful analysis and optimizing database performance by not storing unnecessary data long-term. Consolidated tracking data includes click-through rates, open rates, and other engagement metrics that are relevant for campaign performance analysis but become less actionable over time. Retaining data for 6 months allows organizations to analyze trends and report on recent campaign performance while maintaining system efficiency.

B.   mta

Explanation: In Adobe Campaign Classic, if bounces are no longer being forwarded, the appropriate process to check is the mta (Message Transfer Agent) process. The mta process is responsible for sending out messages and managing delivery status, which includes bounce handling. When email delivery encounters issues, it’s the mta process that logs these bounces and processes them accordingly. If bounces are not being processed as expected, there might be issues with the mta configuration, network connectivity, or email server responses. By checking the mta logs, a developer can troubleshoot and identify any errors or misconfigurations that may be preventing bounce notifications from being forwarded. Additionally, verifying the mta process is running smoothly is crucial for ensuring the entire delivery and bounce-back mechanism functions properly within the Adobe Campaign Classic environment.

C.   Target Mapping

Explanation:
In Adobe Campaign Classic, Target Mapping is where developers configure how data flows between the various tables when a campaign is executed, including the data that needs to be captured in the broad log (delivery log) during email sends. The broad log captures detailed information about each delivery attempt, and Adobe Campaign uses target mappings to define which data attributes are recorded and linked to recipients.
To capture additional attributes in the broad log automatically:
Target Mapping Configuration: Developers need to extend the target mapping linked to the delivery. By doing so, they can specify which additional attributes should be mapped to the recipient’s delivery information. Target mappings control the relationship between delivery and recipient data, allowing Adobe Campaign to include extra fields in the logs automatically during the send process.
Broad Log Extension: Extending the target mapping also enables the addition of custom attributes to the broad log. These attributes are crucial for tracking and analyzing delivery and interaction data beyond the standard fields.
Thus, setting up these additional attributes within Target Mapping ensures that they are captured seamlessly in the broad log at the time of sending.

A.   See and understand concurrent workflows

C.   Filter workflows by duration to check which workflow is creating an issue

D.   Look for a specific workflow to analyze

Explanation:
A heat map in Adobe Campaign Classic provides a visual representation of workflow performance and activity across the campaign instance. It is particularly valuable for developers and campaign managers who need to monitor, diagnose, and optimize workflows. Here are three key reasons to use a heat map:
See and understand concurrent workflows: A heat map offers a quick visual overview of multiple workflows running concurrently. This allows developers to identify workflows that might be consuming excessive resources and impacting the overall performance. By examining the distribution and intensity of workflows over time, a developer can manage and adjust workflow scheduling to avoid bottlenecks.
Filter workflows by duration to check which workflow is creating an issue: Heat maps allow filtering workflows by their duration, which is essential for diagnosing performance issues. By focusing on workflows with unusually long durations, developers can pinpoint problematic processes and take corrective actions, such as optimizing the workflow steps, adjusting schedules, or even modifying resource allocations.
Look for a specific workflow to analyze: Using a heat map, developers can easily locate specific workflows for detailed analysis. This feature is useful when there are numerous workflows and a need arises to drill down into a particular one that may be underperforming or suspected of causing issues.
While heat maps are valuable for monitoring and troubleshooting workflows, they do not directly create workflow reports, making option B ("Make a report of the workflow") less relevant in this context. Reports are typically generated through other reporting tools within Adobe Campaign Classic.

A.   SOAP

C.   REST

Explanation:
For integrating a custom CRM system with Adobe Campaign Classic to push profile data, the two primary methods of HTTP communication available are SOAP and REST APIs.

• SOAP (Simple Object Access Protocol):
• REST (Representational State Transfer):

Using SFTP would not meet the requirement of HTTP-based communication, and External Account is more about configuring connection settings rather than serving as a direct data transfer method. Therefore, SOAP and REST are the best methods to meet the integration requirements for the CRM system and Adobe Campaign Classic.

B.   Scheduler, File transfer, Data loading, Update data

Explanation:
To set up a workflow that imports customer data from an S3 bucket daily and stores it in an existing Adobe Campaign table, the following sequence of activities is appropriate:
Scheduler: This activity schedules the workflow to run daily, triggering the data import process at a specified time.
File Transfer: The File Transfer activity is used to download files from an external source, such as an S3 bucket. It ensures that the data file is available locally within the Campaign environment for processing.
Data Loading: This activity reads the downloaded file (e.g., CSV format) and loads the data into a temporary table or directly into the workflow for further processing.
Update Data: Finally, the Update Data activity inserts or updates the existing records in the Campaign table with the imported customer data, ensuring that the table reflects the latest information.
Using this sequence, Scheduler, File transfer, Data loading, Update data, facilitates a streamlined import process that handles data transfer, loading, and updating efficiently.

A.   Data Schema Methods

Explanation:
To implement simple CRUD (Create, Read, Update, Delete) operations in Adobe Campaign Classic via an internal application, the best approach is to use Data Schema Methods. Data Schema Methods allow real-time interaction with Adobe Campaign’s database by exposing a set of predefined APIs for managing data entities directly. These methods are suitable for synchronous operations, which are typical for real-time applications.
In Adobe Campaign Classic, Data Schema Methods are part of the API suite, enabling the external system to perform data manipulations, such as creating, updating, or deleting records in real-time, by leveraging the data schema definitions. These methods provide a direct and efficient way to interact with the Campaign Classic database while respecting data integrity and avoiding the complexity of creating custom workflows or scripts.
Other options, like Workflows or SQL Scripts, are generally suited for batch operations or specific backend processes, not for real-time operations that require immediate feedback. Therefore, Data Schema Methods offer the most direct and reliable solution for CRUD operations in Adobe Campaign Classic in a real-time context.

A.   Xtk.queryDef.create()

D.   Xtk.session.write()

Explanation:
To retrieve data from multiple schemas and insert it into a temp table within an Adobe Campaign Classic workflow, the following methods are used:
Xtk.queryDef.create(): This method is employed to construct and execute queries across multiple schemas. It allows developers to retrieve data dynamically from various sources within the database, which is essential for workflows that need to aggregate data from different schemas.
Xtk.session.write(): After retrieving data, Xtk.session.write() is used to insert data into a temp table. This method enables writing directly to tables, including temporary tables, which are often used to store intermediate results for further processing within workflows.
These methods together provide the necessary functionality for data retrieval and insertion within workflows, enabling effective manipulation of temp tables based on multiple data sources.

C.   Experience Cloud Triggers

Explanation:
To capture website visitors who abandon their shopping cart and use that information for remarketing, Experience Cloud Triggers are the recommended solution within Adobe Campaign. Experience Cloud Triggers allows Adobe Campaign to work with Adobe Analytics, tracking user behavior in real-time on the website.
When a visitor initiates but does not complete the checkout process, Adobe Analytics can send an abandonment trigger to Adobe Campaign. Adobe Campaign can then use this data to generate personalized remarketing campaigns, targeting those specific users based on their incomplete purchases.
While Landing page capture forms can collect data from users, they are not specifically tailored for capturing abandonment data. External Signals could be used in some scenarios, but they do not provide the same seamless integration with user journey tracking as Experience Cloud Triggers. Marketing Workflows manage automated marketing tasks but rely on triggers like those provided by Experience Cloud for real-time engagement.

B.   Delete the operator's profile from Adobe Campaign

Explanation:
To completely stop alerts and notifications from being sent to an operator who no longer requires access to Adobe Campaign Classic, it is necessary to delete the operator's profile from the system:
Removing the Operator Profile: Simply disabling an account does not prevent Adobe Campaign from sending alerts and notifications if they remain associated with the operator's profile. By deleting the profile, you remove all associations, including email addresses and notification settings, thus fully stopping any communications.
While updating access rights or removing the email might partially reduce notifications, deleting the operator's profile ensures that no further alerts or notifications are sent, aligning with the intent to completely revoke access and associated notifications.

A.   Create a control typology rule to exclude those domains

Explanation:
In Adobe Campaign Classic, control typology rules are used to enforce specific constraints on the delivery process, including exclusion criteria. To ensure that emails are not sent to recipients with specific domains, a control typology rule is the appropriate mechanism. Control rules can filter out email addresses based on domain names, preventing the system from including these domains in any campaign deliveries.
By configuring a control typology rule to exclude unwanted domains, the developer ensures that all email campaigns adhere to this rule, effectively preventing emails from being sent to any recipients with those specific domains. Pressure and filtering typology rules are not suited for this purpose, as pressure rules limit the number of messages sent, and filtering rules focus more on segmentation within the audience rather than delivery constraints.