Marketing-Cloud-Advanced-Cross-Channel Practice Test Questions

Explanation:

Salesforce Distributed Marketing enables field marketers, such as those in distributed teams (e.g., financial advisors, franchise owners), to send personalized, on-brand messages to customers through pre-approved campaigns. The Quick Send feature allows users to send one-off messages directly from Salesforce CRM to specific recipients using Marketing Cloud templates. This functionality is tightly integrated with CRM objects to ensure compliance and personalization.

Here’s a breakdown of the objects:

➡️ Lead: Leads are potential customers in Salesforce CRM who have not yet been converted to Contacts or Accounts. Distributed Marketing supports Quick Send for Leads, allowing marketers to engage prospects with personalized messages directly from the Lead record.

➡️ Contact: Contacts represent individuals associated with an Account in Salesforce CRM. Distributed Marketing supports Quick Send for Contacts, enabling field marketers to send targeted emails or messages to existing customers or contacts.

➡️ Person Account: Person Accounts are a hybrid of Accounts and Contacts, used in B2C scenarios (e.g., financial services or retail) to represent individual customers without a business account structure. Distributed Marketing supports Quick Send for Person Accounts, treating them similarly to Contacts for message delivery.

➡️ Opportunities: Opportunities represent potential sales deals in Salesforce CRM. Distributed Marketing does not support Quick Send for Opportunities, as they are not recipient-based objects but rather deal-based records.

➡️ Quick Send Message Records: These are not standard Salesforce objects but rather custom records or data extensions in Marketing Cloud that store message details. Quick Send operates on recipient objects (Leads, Contacts, Person Accounts) and does not use Quick Send message records as a target for sending.

How Quick Send Works?
In Distributed Marketing, Quick Send is initiated from the Salesforce CRM interface (e.g., from a Lead, Contact, or Person Account record). Users select a pre-approved Marketing Cloud message template, customize it if allowed, and send it to the recipient. The feature leverages Marketing Cloud Connect to integrate CRM data with Marketing Cloud, ensuring messages align with brand standards and compliance requirements.

References:
➡️ Salesforce Documentation: The Salesforce Help documentation on Distributed Marketing states that Quick Send is available for Leads, Contacts, and Person Accounts.

➡️ Trailhead Module: The "Distributed Marketing for Admins" module on Trailhead confirms that Quick Send supports sending messages to Leads, Contacts, and Person Accounts from the CRM interface.

➡️ Partner Learning Camp (PLC): The official Salesforce Partner Learning Camp curriculum for the Marketing Cloud Advanced Cross Channel Exam emphasizes that Quick Send is designed for recipient-based objects (Leads, Contacts, Person Accounts) and does not mention Opportunities or message records as valid objects.

Additional Notes:
For the exam, ensure you understand the distinction between objects that store recipient data (Leads, Contacts, Person Accounts) and other CRM objects like Opportunities. Also, note that Distributed Marketing requires Marketing Cloud Connect to function, and Quick Send relies on preconfigured message templates in Marketing Cloud.

Explanation:

✅ Correct Answer: B. Daily

✔ Rationale:
Einstein Engagement Frequency (EEF) helps determine how many emails a contact should receive to avoid over-sending or under-sending. It uses 2S (Send Logging) and System Data View tables (_Sent_, _Open_, _Click_, etc.) to analyze historical email engagement behavior.

The model is refreshed daily so it can:
→ Continuously adjust to new engagement trends.
→ Provide up-to-date frequency zone categorizations (Undersaturated, On Target, Saturated).
→ Enable real-time decisions in journeys (e.g., using the Einstein Frequency Split activity).

This daily refresh ensures that marketers are always working with the most current data to avoid fatigue and maximize engagement.

❌ Incorrect Options:

A. Hourly
➤ Too frequent. Einstein does not require or support hourly model refresh for engagement frequency, as email behavior doesn’t change hour-to-hour and it would be computationally intensive.

C. Monthly
➤ Too infrequent. A monthly refresh wouldn’t catch fast-changing engagement trends, leading to outdated recommendations and higher risk of over-sending.

D. Biweekly
➤ Not accurate. Although better than monthly, biweekly updates still lag behind the speed of engagement behavior changes and do not reflect Einstein’s daily refresh cadence.

🧠 Summary:
Einstein Engagement Frequency refreshes its model daily to ensure recommendations reflect the latest email engagement behavior, helping marketers balance communication and avoid fatigue.

References:

⇒ Salesforce Documentation: The Salesforce Help documentation for Einstein Engagement Frequency specifies that the model is refreshed daily based on a 28-day lookback period of subscriber engagement data.

⇒ Trailhead Module: The Trailhead module on Einstein Features for Marketing Cloud confirms that EEF updates its models daily to provide current recommendations.

⇒ Partner Learning Camp (PLC): The official curriculum for the Salesforce Marketing Cloud Advanced Cross Channel Exam notes that Einstein Engagement Frequency relies on daily model refreshes to maintain accuracy in cross-channel campaign orchestration.

Explanation:

The Replace Inbox Message feature in Salesforce Marketing Cloud allows marketers to update an existing inbox message with a new version for recipients who have already received the original message. This feature is commonly used in MobilePush or inbox messaging to correct errors, update content, or refresh offers while maintaining the same message ID for tracking purposes.

When the audience for the replacement message changes (e.g., some contacts from the original audience no longer exist in the target audience), Salesforce Marketing Cloud handles the replacement process as follows:

⇒ For existing users (contacts still present in the updated audience or data extension): The original inbox message is replaced with the new message in their inbox. This ensures that active subscribers receive the updated content.

⇒ For users who do not exist (contacts no longer in the audience, e.g., due to being removed from the data extension or unsubscribed): The original inbox message is deleted from their inbox, as they are no longer valid recipients for the campaign.

This behavior ensures that the inbox message aligns with the current audience, maintaining compliance and relevance. It prevents sending or retaining messages for contacts who are no longer eligible (e.g., unsubscribed or deleted contacts).

Analysis of Options:

A. The inbox message is replaced for all users: Incorrect. If some contacts no longer exist in the audience (e.g., due to unsubscription or removal), the system does not replace the message for them; instead, it deletes the original message from their inbox.

B. The inbox message is replaced only for users who do not exist: Incorrect. The replacement occurs for existing users in the audience, not for those who do not exist. For non-existent users, the message is deleted, not replaced.

C. Inbox message is replaced for users who read the first message: Incorrect. The replacement process does not depend on whether the user read the first message. It depends on whether the user still exists in the target audience.

D. Inbox message is replaced for existing users and deleted for users who do not exist: Correct. This accurately describes the behavior of the Replace Inbox Message feature when the audience changes.

References:
→ Salesforce Documentation: The Salesforce Help documentation on MobilePush and inbox messaging explains the Replace Inbox Message feature, noting that messages are updated for valid recipients and removed for those no longer in the audience. See: 🔗 Salesforce Help - MobilePush Messaging.

→ Trailhead Module: The Trailhead module on Mobile Studio confirms that inbox message replacement respects the current audience, deleting messages for contacts who are no longer valid recipients. 🔗 Trailhead - Mobile Studio Basics.

Explanation:

✅ Correct Answer: A. Email daily
Einstein Engagement Scoring for Email updates daily, meaning predictive scores for each contact—such as likelihood to open, click, unsubscribe, or convert—are refreshed every 24 hours. This ensures marketers are always working with the most current engagement data when building audiences or sending personalized content. Daily updates provide a near real-time view of changes in subscriber behavior, enabling more effective segmentation, targeting, and journey logic. This is critical for time-sensitive campaigns where engagement trends shift quickly and accurate insights are required for decision-making.

❌ B. Mobile Weekly
Although Einstein Engagement Scoring supports MobilePush and SMS, the update frequency for those channels is weekly, not daily. The difference lies in how frequently users engage with mobile content versus email. Mobile engagement data typically accumulates at a slower rate, which means daily updates would provide minimal new insight. Therefore, Salesforce updates mobile engagement scores once per week, striking a balance between data accuracy and processing efficiency. This option is incorrect for email, which has a much higher volume of engagement data and requires daily scoring updates.

❌ C. Model Monthly
This option refers to the Einstein model retraining schedule, not the score update frequency. The predictive model behind Einstein Engagement Scoring is typically retrained monthly, meaning it uses the most recent behavior data to refine its algorithms and improve prediction accuracy. While retraining helps improve the model’s long-term performance, it does not determine how often the scores are refreshed for marketers. The email scores themselves are still updated daily, regardless of how often the model is retrained. Hence, this answer is inaccurate in the context of score frequency.

References:

Salesforce Documentation: The Salesforce Help documentation on Einstein Engagement Scoring confirms that email engagement scores are updated daily based on a 28-day lookback period of subscriber activity.

Explanation:

Send Time Optimization (STO) in Salesforce Marketing Cloud analyzes historical engagement data (like open and click behavior) to predict the best time within the next 24 hours when a subscriber is most likely to engage with a message. When using STO in Journey Builder, the STO activity delays sending the message until the predicted optimal hour arrives — up to 24 hours after the activity is triggered.

For example, if the journey enters the STO activity at 9:00 AM, and Salesforce predicts that this subscriber usually engages at 4:00 PM, the message will be held until 4:00 PM that day. If no data exists or no optimal time is available, the system may fall back to sending the message immediately or as defined by fallback settings. However, the key mechanism of STO is to send at the predicted engagement hour within the next 24-hour window.

Salesforce documentation clearly states that STO uses hourly prediction data over a 24-hour period to maximize open and engagement rates. This allows messages to reach the contact at the most likely time of interaction.

❌ A. Immediately when the STO activity arrives
This is incorrect because the point of STO is to delay the message until the predicted optimal send time. If the message were sent immediately, it would bypass the STO logic entirely. STO waits until the optimal hour is reached, not the moment the contact enters the activity.

❌ B. Within the first minute of the next hour
This answer is misleading. Although STO evaluates hourly, it does not guarantee sending in the first minute of the next hour. The message will be sent during the predicted optimal hour, but it is not constrained to the very beginning of that hour. The decision is based on engagement patterns, not fixed time slots.

❌ C. Within the next hour
This is also incorrect. STO’s prediction window spans up to 24 hours, not just one hour. The system may decide to send the message many hours later—whenever the customer is most likely to engage. Limiting it to just “the next hour” is a misunderstanding of how STO works.

🧠 Final Summary:
STO delays the message until the hour when the subscriber is most likely to engage—within a 24-hour window—based on historical behavior. This allows for smarter sending and higher engagement rates.

📚 Reference:
Salesforce Help > "Einstein Send Time Optimization in Journey Builder"

“STO uses historical engagement data to predict the best hour to send a message to each contact within the next 24 hours.”

Explanation:

Real-Time Interaction Management (RTIM) in Salesforce Marketing Cloud Personalization (formerly Interaction Studio) is a powerful tool that enables marketers to deliver highly personalized content to users across multiple channels in real time. It achieves this through several key capabilities, including orchestration, data aggregation, and unified customer profiles. Below is a detailed explanation of how each selected option contributes to personalized content delivery:

✅ A. Orchestration:
How it helps: Orchestration in RTIM refers to the ability to coordinate and manage customer interactions across multiple channels (e.g., web, email, mobile, in-store) to deliver a seamless and personalized experience. Interaction Studio’s decision engine uses real-time data and Einstein AI to determine the “next best action” (e.g., a specific offer, content, or call to action) for each user based on their current context and past behavior. This ensures that personalized content is delivered at the right time, through the right channel, enhancing engagement and conversion rates.

Example: If a customer browses a product on a website but doesn’t purchase, RTIM can orchestrate a follow-up email with a personalized discount for that product or trigger a mobile push notification when the customer is near a physical store.

✅ B. Data aggregation:
How it helps: Data aggregation involves collecting and consolidating data from various touchpoints, such as websites, mobile apps, email interactions, social media, and offline channels (e.g., in-store purchases, call center interactions). Interaction Studio aggregates this data in real time to create a comprehensive view of customer behavior and preferences. This aggregated data fuels personalization by providing the raw material needed to tailor content, offers, and recommendations to individual users.

Example: A customer’s browsing history, purchase records, and email opens are aggregated to identify their preferences, allowing marketers to recommend relevant products or content in real time, such as suggesting related items during a website visit.

✅ C. Unified customer profile:
How it helps: The unified customer profile is a centralized, real-time view of each customer that combines behavioral, demographic, transactional, and cross-channel data. Interaction Studio uses deterministic data matching (e.g., via email addresses or customer IDs) to stitch together interactions from online and offline channels, creating a single, holistic profile for each customer. This profile enables marketers to deliver highly personalized content by understanding the customer’s preferences, intent, and journey stage.

Example: A unified profile might show that a customer frequently browses fitness gear online and recently visited a store. Marketers can use this to personalize a website banner with fitness product recommendations or send a tailored email with a workout guide.

Why These Options?

All three components—orchestration, data aggregation, and unified customer profile—work together to enable real-time personalization:

→ Data aggregation collects the raw data from multiple sources.
→ Unified customer profile organizes this data into a single, actionable view of the customer.
→ Orchestration leverages this profile to deliver personalized content at the right moment across channels.

These capabilities ensure that marketers can respond to customer behavior dynamically, avoiding generic or irrelevant content and improving engagement, conversion, and loyalty.

References:

⇒ Salesforce Documentation: The Salesforce Help documentation on Marketing Cloud Personalization (Interaction Studio) highlights how RTIM uses data aggregation, unified profiles, and orchestration to deliver real-time personalized experiences.
⇒ Trailhead Module: The Trailhead module on Marketing Cloud Personalization explains how RTIM aggregates data, creates unified profiles, and orchestrates personalized journeys.
⇒ Partner Learning Camp (PLC): The official curriculum for the Salesforce Marketing Cloud Advanced Cross Channel Exam emphasizes RTIM’s role in using data aggregation, unified profiles, and orchestration to enable 1-to-1 personalization across channels.

Additional Notes for the Exam:
For the Salesforce Marketing Cloud Advanced Cross Channel Exam, understanding how Interaction Studio’s RTIM capabilities integrate with other Marketing Cloud tools (e.g., Journey Builder, Email Studio) is crucial. Be prepared for questions that test your knowledge of how these components enable real-time personalization and how they differ from other Salesforce tools like the Customer Data Platform (CDP). Note that Interaction Studio is not a traditional CDP but focuses on real-time interaction management, complementing CDP functionality.

Explanation:

The catalog is a critical prerequisite for enabling product or content recommendations in both email and web channels within Salesforce Marketing Cloud Personalization (Interaction Studio). The catalog is a structured data feed that contains all the relevant items—such as products, articles, or offers—with metadata like name, ID, category, price, brand, images, and URLs.

To generate personalized recommendations, the system must:

→ Understand what items are available to recommend.
→ Evaluate which items are most relevant to the user based on their behavior and preferences.
→ Serve up those recommendations dynamically in real time or during email build.

This is only possible after the catalog is properly ingested and processed by the system. Without the catalog, the recommendation engine has no content or products to suggest, making it a foundational component of the recommendation engine.
Salesforce documentation specifically states that “Before you can use Einstein Recommendations in Email or Web, you must set up and import a catalog” of items to be recommended.

❌ A. Collect Tracking Code
While the Collect tracking code (also known as the Personalization Web SDK) is necessary to track user behavior on web and mobile—which helps improve targeting and contextual relevance—it is not the foundational prerequisite for recommendations themselves. Tracking enhances recommendation accuracy, but without a catalog, the system still wouldn't have items to recommend. So, although Collect is important for real-time interaction tracking, the catalog is required before any recommendations can occur.

📚 Reference:
🔗 Salesforce Help: Set Up Einstein Web Recommendations
“The catalog is required to power recommendations. Add product data to your catalog before configuring web or email recommendation components.”

🧠 Final Takeaway:
Catalog ingestion is the essential prerequisite for email and web recommendations in Marketing Cloud Personalization. Tracking enhances the system but cannot replace the need for a defined catalog of items to recommend.

Explanation:

To configure Single Sign-On (SSO) in Salesforce Social Studio, a user must have Super User permissions. Social Studio’s administrative settings, including SSO configuration, are restricted to users with the highest level of access, as they involve sensitive operations like linking Social Studio to an identity provider (e.g., Salesforce or a third-party IdP like Okta) and managing authentication settings.

Here’s a breakdown of the process and why Super User permission is required:

⇒ SSO Configuration in Social Studio: Configuring SSO involves accessing the Admin section of Social Studio, specifically the Single Sign-On settings, to set up integration with an identity provider (IdP). This includes uploading certificates, configuring SAML settings, or linking Social Studio accounts to Salesforce credentials for IdP-initiated SSO. These actions require administrative privileges to ensure security and proper setup.

⇒ Super User Role: In Social Studio, the Super User role is the highest permission level, granting full access to all administrative functions, including user management, workspace configuration, and SSO settings. Only Super Users can perform tasks that affect the entire organization’s authentication setup, such as enabling SSO or associating Social Studio accounts with Salesforce credentials.

Why Not Other Roles?:

B. Full User: Full Users in Social Studio have permissions to manage content, publish posts, and engage with audiences within assigned workspaces, but they lack access to administrative settings like SSO configuration.

C. Custom User: Custom Users have tailored permissions based on specific roles or tasks defined by the organization. Unless explicitly granted Super User-level access to Admin settings, they cannot configure SSO.

D. Limited User: Limited Users have restricted access, typically for basic tasks like viewing reports or monitoring social activity. They do not have administrative privileges to configure SSO.

Additional Context

⇒ SSO Setup Process: To configure SSO, a Super User navigates to Admin > Single Sign-On in Social Studio, where they can enable Salesforce as the identity provider or configure a third-party IdP. For Salesforce IdP-initiated SSO, the Super User must ensure that the Salesforce org has a custom domain (My Domain), a certificate, and the Identity Provider feature enabled. Users must also link their Social Studio accounts to their Salesforce credentials via a one-time setup.

⇒ Salesforce Permissions: In the Salesforce org, the user configuring SSO must also have System Administrator privileges to manage Identity Provider settings, certificates, and connected apps (e.g., the Social Studio connected app). The “Is Single Sign-On Enabled” permission in Salesforce is relevant for enforcing SSO for specific users but is not directly related to Social Studio’s SSO configuration.

References:
→ Salesforce Documentation: The Salesforce Help documentation for Social Studio notes that SSO configuration requires administrative access, which aligns with the Super User role in Social Studio.

→ Web Resource: A guide on configuring SSO from Salesforce to Social Studio specifies that a Social Studio account with System Administrator access (equivalent to Super User in Social Studio) is required.

→ Trailhead Module: The Trailhead module on Social Studio basics confirms that Super Users have access to Admin settings, including SSO configuration, while other roles are limited to operational tasks.

→ Partner Learning Camp (PLC): The official curriculum for the Salesforce Marketing Cloud Advanced Cross Channel Exam emphasizes that SSO configuration in Social Studio is restricted to Super Users due to the sensitive nature of authentication settings.

Explanation:

📌 Why This Is Correct (with Confirmation from Salesforce Documentation):
In Salesforce Social Studio, Topic Profiles are configured at the Workspace level, not globally at the account level. This allows different teams (e.g., by brand, product, or region) to create listening profiles tailored to their own needs.

When you create a Workspace, part of the setup includes the option to:

→ Add Topic Profiles
→ Choose which Topic Profiles the workspace should listen to
→ Assign users and roles based on that workspace's scope

Salesforce documentation confirms:
“Topic Profiles are created and managed within Workspaces. They define the keywords and sources used to collect social posts that the Engage and Analyze modules act upon.”

❌ Why Other Options Are Wrong:

A. Social Studio Automate
This is used for setting automated rules, such as tagging or routing posts, after they've been ingested. It does not define what content gets pulled in.

B. Admin Settings
Admin Settings are used for account-level tasks like user roles, billing, and authentication. You don’t define content listening rules here.

D. Social Studio Engage
Engage is where you view and respond to content. You interact with content that’s already been pulled in based on existing Topic Profiles—you cannot create them here.

🧠 Final Confirmation:
Topic Profiles are created and managed inside Workspace Settings, which control what content a specific team or region listens to. This is officially documented by Salesforce and widely used in enterprise social listening implementations.

Explanation:

Salesforce Marketing Cloud Connect integrates Marketing Cloud with Sales Cloud, enabling seamless data sharing and automation between the two platforms. When you want to trigger a journey in Marketing Cloud’s Journey Builder based on a record being created in Sales Cloud (e.g., a new Contact), Marketing Cloud Connect facilitates this process by allowing data synchronization and journey entry criteria. Below is a detailed explanation of how the selected options work and why the others are incorrect:

✅ A. Sales Cloud entry audience in Journey Builder:

How it helps: Marketing Cloud Connect allows you to use Sales Cloud objects (e.g., Contact, Lead, or custom objects) as entry sources for Journey Builder. When a new Contact record is created in Sales Cloud, you can configure a journey to trigger based on this event using the Salesforce Data Entry Source. This entry source monitors Sales Cloud for specific record changes (e.g., a new Contact record) and injects the contact into the journey in near real-time. Marketing Cloud Connect ensures that the Contact data (e.g., email address, Subscriber Key) is available to personalize and execute the journey.

Example: You set up a journey with a Salesforce Data Entry Source that triggers when a new Contact is created in Sales Cloud with a specific field value (e.g., “Status = Active”). The journey then sends a welcome email or initiates a cross-channel campaign.

Why it’s correct: This is a direct and native way to trigger a journey using Marketing Cloud Connect’s integration, leveraging Sales Cloud data as the entry criteria.

✅ D. Use synchronized DE, query to a sendable DE and use Automation Studio schedule to inject contact every 15 mins:

How it helps: Marketing Cloud Connect enables Synchronized Data Sources, which sync Sales Cloud objects (e.g., Contact) to Marketing Cloud as Data Extensions (DEs). When a new Contact is created in Sales Cloud, it is synced to a Synchronized Data Extension in Marketing Cloud. You can then use a SQL Query Activity in Automation Studio to filter new or updated records (e.g., Contacts created in the last 15 minutes) and move them to a sendable Data Extension. Finally, an Automation Studio schedule can run every 15 minutes to inject these contacts into a Journey Builder journey using a Data Extension Entry Source. This approach ensures near real-time journey triggers based on Sales Cloud data.

Example: A Synchronized Data Extension syncs Contact records from Sales Cloud. A SQL query identifies new Contacts and populates a sendable DE. An automation runs every 15 minutes to inject these contacts into a welcome journey.

Why it’s correct: This method leverages Marketing Cloud Connect’s synchronization capabilities and Automation Studio to trigger journeys based on new Contact records, offering flexibility for complex use cases.

Analysis of Incorrect Options

❌ B. Use an API to trigger journey directly from ecom site and use email address as Subscriber Key:

Why it’s incorrect: While APIs (e.g., Marketing Cloud REST API) can be used to trigger journeys, this option involves triggering a journey directly from an e-commerce site, not from a Sales Cloud Contact record creation. Marketing Cloud Connect is not directly involved in this process, as it focuses on integrating Sales Cloud and Marketing Cloud, not external e-commerce platforms. Additionally, this approach bypasses the Sales Cloud record creation requirement in the question.

Context: APIs could be used in other scenarios (e.g., triggering a journey from an external system), but they don’t align with the scenario of triggering a journey based on a Sales Cloud Contact record.

❌ C. Use an API to create record in Sales Cloud directly from the ecom site:

Why it’s incorrect: This option describes using an API (e.g., Salesforce REST API) to create a Contact record in Sales Cloud from an e-commerce site, which could indirectly lead to a journey trigger if combined with option A or D. However, it does not directly address how Marketing Cloud Connect helps trigger the journey after the Contact is created. The focus of the question is on the integration between Sales Cloud and Marketing Cloud, not on how the Contact record is created in Sales Cloud.

Context: While creating a Contact via API is a valid step, it’s not the mechanism that Marketing Cloud Connect uses to trigger the journey.

How Marketing Cloud Connect Facilitates the Process?

Marketing Cloud Connect provides the following key functionalities to support triggering journeys based on Sales Cloud Contact record creation:

⇒ Synchronized Data Sources: Syncs Sales Cloud objects (e.g., Contact) to Marketing Cloud Data Extensions, enabling access to Sales Cloud data for journey entry or segmentation.
⇒ Salesforce Data Entry Source: Allows Journey Builder to monitor Sales Cloud for record changes (e.g., new Contact creation) and trigger journeys directly.
⇒ Data Integration: Ensures that fields like email address and Subscriber Key are mapped between Sales Cloud and Marketing Cloud for consistent personalization and tracking.

Reference:

Salesforce Documentation: The Salesforce Help documentation on Marketing Cloud Connect explains how Synchronized Data Sources and Salesforce Data Entry Sources enable journey triggers based on Sales Cloud record changes. See: 🔗 Salesforce Help - Marketing Cloud Connect.

Trailhead Module: The Trailhead module on Marketing Cloud Connect details how to use Salesforce Data Entry Sources and Synchronized Data Extensions to trigger journeys from Sales Cloud events. 🔗 Trailhead - Marketing Cloud Connect Basics.

Partner Learning Camp (PLC): The official curriculum for the Salesforce Marketing Cloud Advanced Cross Channel Exam emphasizes the use of Marketing Cloud Connect for integrating Sales Cloud data with Journey Builder, including direct entry sources and synchronized DE workflows.