Salesforce Updated Salesforce-Marketing-Associate Exam Questions and Answers by taha

The "All Subscribers" list in Email Studio is the centralized location within Salesforce Marketing Cloud where the status of each subscriber is maintained. This list includes details such as the subscriber's email address, status (Active, Unsubscribed, Bounced, etc.), and other relevant subscriber information. If a customer complains about not receiving emails,checking their status in the "All Subscribers" list can provide insights into whether they have unsubscribed or if there is another issue affecting their receipt of communications.

To send a special message to subscribers who have interacted with its email messages within the same journey, Northern Trail Outfitters should use an Engagement Split in Journey Builder. The Engagement Split activity allows for the segmentation of subscribers based on their interactions with previous emails, such as opens or clicks. This enables the creation of a targeted segment of engaged subscribers to whom the special message can be sent, enhancing the relevance and effectiveness of the communication.

A Filtered Data Extension is the best choice when a marketing associate needs to create a criteria-based subset of an audience from another data extension without using SQL. This type of data extension allows users to apply specific criteria to an existing data extension to segment the audience based on attributes or behaviors without the need for writing SQL queries. This is particularly useful for marketers who may not have SQL skills but still need to perform targeted segmentation. Salesforce Marketing Cloud provides a user-friendly interface for setting up these filters, making it an efficient way to tailor communications to specific audience segments.

For an email template that requires two separate content versions to be evaluated on performance within a single content block, the associate should use an A/B Test Content block in Content Builder. This feature allows for the creation of two variations of content within the same block, with the system automatically splitting the audience to receive either version A or B. Performance metrics can then be analyzed to determine which version performed better, enabling data-driven decisions for future content strategies.