Salesforce SalesforceMarketing Cloud Advanced Cross ChannelExam Marketing-Cloud-Advanced-Cross-Channel Exam Dumps: Updated Questions & Answers (October 2025)

In Salesforce's Social Studio, specifically within the Engage tab:

D. No limit: There is no limit to the number of columns that can be used in each Engage tab. This flexibility allows users to tailor their social media monitoring and engagement workspace to their specific needs, accommodating various accounts and types of interactions without a predefined cap on columns.

To create an Advertising Studio audience, the prerequisite involves:

A: Create advertising/business account on the required network and setup the ad account integration in Marketing Cloud. This step ensures that Salesforce Marketing Cloud can communicate and synchronize data with the advertising networks, such as Facebook, Google, or Twitter, allowing for the targeted advertising campaigns to be managed directly from the Marketing Cloud.

To implement a campaign that sends multiple emails over three months, with conditional content based on link interaction:

A. Use journey with email activities and engagement split activity: This setup in Journey Builder allows for the sending of initial emails and then uses an engagement split based on whether the recipient clicked the link. If the link is clicked, the journey continues with emails about app features. If not, it reiterates the download email every three days using a wait activity and looping back to the same email until the link is clicked or the time period ends.

In Distributed Marketing, Quick Send can be used with the following types of objects:

A: Lead: Allows sales representatives to quickly send marketing-approved emails directly to leads.

B: Contact: Similar to leads, contacts can also receive personalized, immediate communications via Quick Send.

C: Person Account: This includes personal account records, which can also be targeted for Quick Send actions, providing a seamless integration between marketing and sales efforts.

The prerequisites for using email/web recommendations in Salesforce Marketing Cloud involve two key components:

A: Collect Tracking Code: This is essential as it gathers the necessary behavioral data from users' interactions with emails and websites. This data is critical for powering the recommendation engine.

B: Catalog: A catalog of items (products or content) that can be recommended must be set up and maintained. This catalog serves as the database from which the recommendation engine selects items to suggest to different users.

Social Studio unifies anonymous and known identities primarily through deterministic matching. This technique uses definite, unique identifiers (like email addresses, usernames, or phone numbers) that are associated with social media profiles and other customer data sources. By matching these identifiers, Social Studio can merge and maintain a unified view of a customer’s interactions across different platforms, effectively linking anonymous browsing data with known customer profiles. This process ensures that the insights derived from social interactions are accurately attributed to the correct individual, enhancing the relevance and personalization of marketing efforts.

Einstein web recommendations can specifically recommend the following types of content on a website:

A: Product: Recommendations can include specific products based on user behavior and preferences.

Category: Pages that group similar types of products can also be recommended to help guide users to areas of interest.

Cart: Recommendations can be made for the cart page to encourage the completion of purchases or suggest complementary products.

Einstein Copy Insights in Salesforce Marketing Cloud uses natural language processing to analyze the effectiveness of email subject lines. It considers:

A. Frequently used phrases in subject lines: To identify trends and common phrases that resonate with audiences.

C. Emotional tone of subject lines: To gauge the emotional impact and appeal of the language used.

D. Engagement data: To correlate specific phrases or tones with higher engagement rates, thus providing insights into what works best in subject lines.

For Send Time Optimization (STO) in Salesforce Marketing Cloud, the time a customer is predicted to engage with an email determines when they are sent the message. The email is dispatched within the next hour following the STO activity’s processing, aligning the send time with anticipated engagement peaks based on historical data. This method ensures that messages are likely to be opened when customers are most active, optimizing engagement rates.

Topic profiles in Social Studio are added through the Social Studio Automate. This feature allows users to monitor and automate responses based on specific topics of interest across different social media channels. Admin settings and Workspace settings do not provide options to manage topic profiles directly.