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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: Agentforce & AI Innovation | 11% | - Predictive AI capabilities and use cases - Marketing Agents for campaign and audience automation - Conversational messaging with Agentforce |
| Topic 3: Consent | 13% | - Consent data objects and records management - Consent management concepts and regulatory compliance - Consent banner configuration and collection methods |
| Topic 4: Analytics & Performance Insights | 8% | - Marketing data visualization and performance insights - Standard dashboards and reporting selection |
| Topic 5: Data Modeling, Identity Resolution & Segmentation | 25% | - Identity Resolution and unified customer profiles - Data 360 Data Model Objects (DMO) and data relationships - Data ingestion, segmentation and audience activation |
| Topic 6: Platform Setup & Governance | 13% | - Domain authentication (DKIM, SPF) and IP configuration - Business Units, governance model, roles and permissions - Marketing Cloud Next environment provisioning and Data 360 setup |
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NEW QUESTION # 77
Northern Trail Outfitters needs to personalize an email with:
* The recipient's assigned sales rep's name (stored in Agentforce Sales)
* A unique, time-sensitive promo code (managed in Marketing Cloud Next) Which data sources should the company use for each?
Answer: B
Explanation:
Marketing Cloud Next supports both Salesforce Record and Offer as native email personalization data sources. Salesforce Record is designed to surface current business information from Salesforce objects.
Salesforce specifically notes that marketers can add a Salesforce Record data source and reference Salesforce object fields directly in email content.
That makes it appropriate for a recipient's assigned sales representative when the representative relationship is maintained in Salesforce/Agentforce Sales data.
The Offer data provider is specifically designed for promotions. Salesforce states that marketers can add an Offer as an email data source and use merge fields for values such as the offer name, description, or coupon code . It also supports multiple offer providers and conditional targeting based on customer attributes.
An Apex Class would be unnecessary custom logic for retrieving an ordinary Salesforce business attribute. A Data Graph also isn't the natural mechanism for a Marketing Cloud Next-managed, time-sensitive offer code when the purpose-built Offer data source exists.
The uploaded bank identifies A.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Personalization Data Sources # Salesforce Record and Offer.
NEW QUESTION # 78
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: B
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 # 79
Northern Trail Outfitters receives a high volume of support cases from customers requesting tracking updates on their orders. These low-value cases are taking up too much of the support team's time.
Which solution should a Marketing Cloud Next Consultant implement to autonomously resolve this situation?
Answer: A
Explanation:
Conversational Email provides the most direct and autonomous solution. Rather than forcing customers to navigate to another web experience or create conventional support cases, NTO can make the existing Order Confirmation and Tracking emails conversational. Customers can simply reply to the email with a question such as "Where is my order?" Salesforce states that Conversational Email integrates with Agentforce, Digital Engagement, and Data 360.
The platform analyzes inbound replies, determines intent, and can route the conversation to an Agentforce agent or human representative while preserving the complete email-thread context.
Salesforce specifically lists Order Management and tracking-information requests as a Conversational Email use case. This makes C particularly strong: Agentforce can resolve repetitive tracking requests without generating unnecessary low-value support workload.
Option A adds friction by sending the customer to a separate chatbot page. Option B only automates routing after a support ticket already exists, whereas the requirement is to reduce or eliminate those cases through autonomous handling.
The uploaded source also keys C.
Study Guide Reference: Agentforce and AI Innovation # Conversational Email # Autonomous Service and Order Management.
NEW QUESTION # 80
Northern Trail Outfitters wants to enrich its customer profiles by combining CRM Contact data with anonymous web browsing activity captured via the web tracking embed code. A Marketing Cloud Next Consultant has already set up the Contact data stream mapped to the Individual data model object (DMO) and confirmed that web tracking events are flowing into the Website Engagement DMO.
What must the consultant configure in Identity Resolution to link anonymous visitor data to known Contact profiles?
Answer: B
Explanation:
Salesforce provides the Device to Known Identity Resolution rule specifically to associate anonymous tracked visitors with known Unified Individual profiles.
Current Marketing Cloud Next setup documentation states that an Individual Identity Resolution ruleset should include an Identity Match DMO match criterion where Identity Match Type is matched exactly to device-to-known. Salesforce explains that this recommended rule attributes web-tracking activity to the correct Unified Individual.
This architecture exists because anonymous website engagement initially contains a device or visitor identity rather than ordinary CRM identity attributes. Once the visitor becomes identifiable-for example, through a recognized interaction-the Identity Match relationship enables Data 360 to stitch that visitor identity to the known Individual.
Option A incorrectly proposes manually altering identity relationships with Flow. Option B assumes Website Engagement should be directly matched to Individual using email, which bypasses the specialized identity- stitching mechanism Salesforce provides.
The uploaded master bank identifies C.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Identity Resolution # Identity Match DMO and Device-to-Known Matching.
NEW QUESTION # 81
Northern Trail Outfitters would like customers to choose whether they receive product updates by email or SMS for a given subscription, like newsletters or events.
Which data model object (DMO) stores the customer's consent status for each subscription and channel?
Answer: A
Explanation:
The Communication Subscription Consent DMO stores the individual's actual consent state for Marketing Cloud Next subscription-based communications. Salesforce's consent model separates the definition of a marketing subscription from the customer's consent associated with that subscription.
For example, "Product Updates" or "Events" is represented by a Communication Subscription . Email and SMS are associated channel types. The resulting consent state-such as OPT_IN or OPT_OUT-for the applicable contact point, subscription, and channel is represented through Communication Subscription Consent.
Salesforce explicitly identifies four core objects participating in the Marketing Cloud Next consent architecture: Communication Subscription, Engagement Channel Type, Communication Subscription Channel Type, and Communication Subscription Consent. It also confirms that Marketing Cloud Next consent is stored in the Communication Subscription Consent DMO.
Contact Point Consent isn't the appropriate Marketing Cloud Next subscription-level DMO in this scenario.
Communication Subscription defines what customers are subscribing to but doesn't itself store each customer's consent state.
The uploaded master bank also identifies C.
Study Guide Reference: Consent # Communication Subscription Data Model # Communication Subscription Consent.
NEW QUESTION # 82
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