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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Campaign Design, Flow Orchestration & Content | 30% | - Personalization with Handlebars and dynamic content - Activation templates, landing pages and multi-channel design - Flow design, orchestration, triggers and messaging |
| Topic 2: Data Modeling, Identity Resolution & Segmentation | 25% | - Data 360 Data Model Objects (DMO) and data relationships - Identity Resolution and unified customer profiles - Data ingestion, segmentation and audience activation |
| Topic 3: Analytics & Performance Insights | 8% | - Marketing data visualization and performance insights - Standard dashboards and reporting selection |
| Topic 4: Agentforce & AI Innovation | 11% | - Predictive AI capabilities and use cases - Marketing Agents for campaign and audience automation - Conversational messaging with Agentforce |
| Topic 5: Consent | 13% | - Consent banner configuration and collection methods - Consent management concepts and regulatory compliance - Consent data objects and records management |
| Topic 6: Platform Setup & Governance | 13% | - Marketing Cloud Next environment provisioning and Data 360 setup - Domain authentication (DKIM, SPF) and IP configuration - Business Units, governance model, roles and permissions |
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NEW QUESTION # 70
Northern Trail Outfitters wants customer service reps to be able to view and update a customer's communication consent preferences directly from the customer's CRM record when interacting with them in the contact center.
Which component should a Marketing Cloud Next Consultant add to the Contact record page to enable this capability?
Answer: B
Explanation:
The Privacy Consent Status component is specifically intended to expose Marketing Cloud Next consent information on Lead and Contact record pages. Salesforce documents that the component retrieves the relevant email addresses and phone numbers from the CRM record and displays the consent state associated with those contact points. Authorized users can therefore review and manage communication preferences while working directly from the person's Salesforce record.
This is materially different from Data 360 Related Lists, which surface related Data 360 information but aren't the dedicated consent-management interface. Data 360 Profile Insights is used for profile and calculated insight information, such as marketing scores, rather than managing channel and subscription consent.
Salesforce also clarifies that the ordinary HasOptedOutOfEmail field isn't the Marketing Cloud Next consent mechanism. Marketing Cloud Next consent is stored through its dedicated consent model and surfaced through the consent component.
The uploaded master correctly keys A. Current Salesforce documentation explicitly names the Privacy Consent Status component for displaying consent associated with email and phone contact points.
Study Guide Reference: Consent # Managing and Reviewing Consent # Privacy Consent Status Component.
NEW QUESTION # 71
Northern Trail Outfitters wants to configure its SMS channel so that when a customer replies to a promotional text with a custom question, the interaction is automatically handed off to an AI agent for ongoing support.
Which configuration should a Marketing Cloud Next Consultant implement to handle this inbound response?
Answer: B
Explanation:
An Omni-Channel flow is the appropriate mechanism because inbound customer conversations on Salesforce messaging channels are represented by Messaging Sessions and must be routed through supported messaging- routing infrastructure. Salesforce documents that an inbound Omni-Channel flow can use the Route Work action with the Service Channel set to Messaging and the routing destination set to an Agentforce Service Agent. This provides the supported handoff from the messaging channel to the autonomous agent while preserving the conversation context.
A record-triggered flow is not the standard routing mechanism for assigning an active messaging conversation to an Agentforce Service Agent. Although record-triggered flows can automate changes to Salesforce records, they don't provide the specialized work-routing semantics required for messaging sessions. Assignment rules similarly aren't designed for conversational Omni-Channel routing.
Therefore, option A correctly implements the inbound routing architecture. The uploaded master bank also identifies A as the keyed response.
Study Guide Reference: Agentforce and AI Innovation # Conversational Marketing Fundamentals for Marketing Cloud Next # Agentforce messaging and channel orchestration.
NEW QUESTION # 72
Northern Trail Outfitters (NTO) is investigating reports that promotional emails are being delivered to individuals who have previously opted out earlier the same day. NTO discovers that customer consent preferences are updated daily using a batch data transform that writes directly to the Communication Subscription Consent data model object (DMO), causing customer complaints.
Which action should the Marketing Cloud Next Consultant take to resolve it?
Answer: A
Explanation:
The problem isn't merely the batch schedule; the implementation is using an unsupported consent-write path
. Salesforce's August 2026 Marketing Cloud Next guidance explicitly warns against using Data 360 batch transforms, streaming transformations, direct data-stream mappings, or bulk APIs to write directly into the Communication Subscription Consent DMO. Those methods can produce consent values that appear stored but aren't consistently honored by the messaging consent layer at send time.
The supported solution is to route the change through Create Consent/Consent Request . A Data 360- triggered flow can listen for the relevant change and invoke Create Consent, which updates the contact point's consent for the required channel and communication subscription through the supported consent service.
Therefore, changing a daily batch to hourly doesn't fix the architectural defect. Switching from batch to streaming transformation also doesn't make a direct DMO write supported.
The master bank correctly identifies B. Salesforce explicitly recommends reissuing incorrectly written consent through a Data 360-triggered flow calling Create Consent.
Study Guide Reference: Consent # Supported Consent Write Methods # Create Consent Action and Data
360-Triggered Flows.
NEW QUESTION # 73
A marketing manager wants to launch a new campaign targeting customers who have recently browsed winter boots but have not purchased. The manager is not an expert in data structures or SQL. They need a way to translate this business requirement into a functional audience segment without technical assistance.
Which Marketing Cloud Next capability should the manager use for this task?
Answer: C
Explanation:
AI-Assisted Segment Creation , currently documented by Salesforce as Einstein Segment Creation, is designed precisely for marketers who understand the desired business audience but don't want to manually navigate complex Data 360 schemas or construct segmentation logic.
Salesforce allows the marketer to describe the target audience using natural language. Einstein interprets the description, identifies relevant attributes from the organization's Data 360 model, and generates a proposed segment definition. The marketer can then review suggested attributes, refine the request conversationally, recount the audience population, and create the segment.
For example, the manager could describe customers who recently browsed winter boots but have not purchased them. Einstein can translate that marketing intent into applicable behavioral and purchase criteria.
Quick Filters don't provide the same natural-language business-to-segment translation. Manually creating AND/OR rules would work technically, but it contradicts the requirement that the manager shouldn't need technical understanding of the underlying attributes.
The source bank identifies B.
Study Guide Reference: Agentforce and AI Innovation # Einstein Segment Creation # Natural-Language Audience Building.
NEW QUESTION # 74
Northern Trail Outfitters (NTO) wants to launch a new campaign and needs to pull in data from a newly- mapped custom object. NTO already has a primary Data Graph that is actively being used by several production campaigns, and needs to decide if they should edit or clone the existing Data Graph.
What is the correct approach and expected behavior?
Answer: A
Explanation:
Salesforce supports additive edits to an existing Data Graph , including adding related DMOs and adding fields to existing DMOs. When an active Data Graph is edited and the consultant chooses Save and Build , Salesforce processes the new version while keeping the currently active version available.
Salesforce explicitly states that during processing, the existing Data Graph remains active . Once processing completes successfully, the newly built version becomes active. If the build fails, the existing graph continues to operate. This design protects downstream consumers from unnecessary interruption during an additive update.
Cloning is useful when a genuinely separate Data Graph configuration is required, but it isn't necessary merely because an active graph needs additional data. Option B incorrectly claims that editing automatically invalidates dependencies. Option C adds unnecessary operational disruption by pausing segments and flows.
There are limits: once a Data Graph is active, changes are generally additive; existing objects and fields can't simply be removed as they can from a draft.
The master bank correctly keys A. Salesforce's current Data Graph editing documentation directly confirms this version-processing behavior.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Data Graph Management # Editing, Building, and Version Processing.
NEW QUESTION # 75
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