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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentforce & AI Innovation | 11% | - Marketing Agents for campaign and audience automation - Conversational messaging with Agentforce - Predictive AI capabilities and use cases |
| Topic 2: Data Modeling, Identity Resolution & Segmentation | 25% | - Data ingestion, segmentation and audience activation - Data 360 Data Model Objects (DMO) and data relationships - Identity Resolution and unified customer profiles |
| Topic 3: Analytics & Performance Insights | 8% | - Standard dashboards and reporting selection - Marketing data visualization and performance insights |
| Topic 4: 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 5: Platform Setup & Governance | 13% | - Business Units, governance model, roles and permissions - Domain authentication (DKIM, SPF) and IP configuration - Marketing Cloud Next environment provisioning and Data 360 setup |
| Topic 6: Consent | 13% | - Consent data objects and records management - Consent management concepts and regulatory compliance - Consent banner configuration and collection methods |
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NEW QUESTION # 77
Which required fields should a Marketing Cloud Next Consultant configure in Data Graphs for personalization in email and SMS?
Answer: C
Explanation:
Salesforce explicitly documents the required Data Graph structure and fields for Marketing Cloud Next personalization. The Data Graph should use Unified Individual as its primary DMO and include the appropriate relationship chain through Unified Link Individual and Individual to the applicable contact-point objects.
Within that structure, Salesforce specifically requires these fields:
Individual ID from the Individual object,
Email Address from Contact Point Email, and
Telephone Number from Contact Point Phone.
These identifiers allow Marketing Cloud Next to resolve personalized profile information to the proper communication contact points when rendering email and SMS content.
Option B incorrectly locates email address and telephone number directly on the Individual DMO. Those values belong to their dedicated contact-point DMOs. Option C incorrectly substitutes the Unified Individual Link ID for the required Individual ID.
This answer has particularly strong current documentation support: Salesforce published a dedicated Marketing Cloud Next knowledge article on March 12, 2026 listing exactly these three required fields. The uploaded master bank also keys A.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Data Graphs # Required Personalization Relationships and Fields.
NEW QUESTION # 78
A Marketing Cloud Next Consultant needs to suppress subscribers from an upcoming audience flow who have a low probability of opening or clicking email content.
Which Einstein feature should the consultant use?
Answer: C
Explanation:
Einstein Engagement Scoring is designed to predict the likelihood that an individual subscriber will engage with future email communications. Salesforce states that the model predicts email opens and clicks, subscriber retention, web conversion, and overall engagement for individual consumer contacts.
Those predicted likelihood values can be used to identify customers with low engagement propensity. A marketer can therefore segment, filter, suppress, or branch customers according to their predicted open or click probability before an audience flow sends a message.
Send Time Optimization solves a different problem. STO assumes that a recipient is going to receive the communication and predicts when that person is most likely to engage. It doesn't primarily determine whether a low-propensity customer should be excluded. Messaging Insights isn't the predictive subscriber-level engagement scoring capability described in this requirement.
Salesforce also stores the output in the Email Engagement Score DMO , which supports reporting and audience analysis based on open, click, and subscription likelihood.
The uploaded master bank correctly keys A. Salesforce's current Einstein Engagement Scoring model card confirms that it predicts opens, clicks, retention, and overall engagement.
Study Guide Reference: Agentforce and AI Innovation # Einstein Engagement Scoring # Predictive Audience Optimization.
NEW QUESTION # 79
A financial services company is launching a Conversational Email campaign. The goal is to give customers the ability to reply directly to outbound promotional emails to initiate a real-time interaction with an AI agent.
The Marketing Cloud Next Consultant has already built the required flow to handle the inbound routing.
What is the required configuration step to ensure customer replies are successfully captured for response handling?
Answer: C
Explanation:
Conversational Email requires more than creating the underlying routing flow. Salesforce instructs administrators to open Authenticated From Addresses in Unified Messaging, select the From Address used for the outbound campaign, and configure Agent Conversational Messaging for that address. The consultant then chooses the Routing Type that determines how incoming replies are handled. Supported routing targets include an Agentforce Service Agent, an Omni-Flow, or an Omni-Queue, followed by a fallback queue where appropriate.
That configuration establishes the link between the outbound From Address and the conversational inbound- routing mechanism. Since the scenario states that the required flow is already built, configuring Agent Conversational Messaging on the sending From Address is the missing prerequisite.
Reply Mail Management can process ordinary inbound replies and fallback scenarios, but simply forwarding RMM mail to an AI queue doesn't establish Conversational Email routing. Similarly, adding another Route Work activity doesn't configure the email address to capture and associate customer replies with the conversational experience.
Therefore, B is correct, matching the uploaded bank.
Study Guide Reference: Agentforce and AI Innovation # Conversational Marketing Fundamentals # Set Up Conversational Email and inbound Agentforce routing.
NEW QUESTION # 80
A healthcare company has very specific requirements for data sharing and privacy.
Which scenario requires the healthcare company to add a Business Unit to ensure compliance?
Answer: A
Explanation:
Option C is the verified answer. Salesforce defines Business Units as organizational divisions that use distinct Data Spaces to enforce data separation. Each Business Unit maps to a unique Data Space, and data from one Business Unit isn't shared with another. This architecture directly addresses the requirement that Clinic A marketers must not query, segment, or accidentally activate Clinic B customer profiles.
Option B is fundamentally an object- and field-level access-control requirement. Restricting particular healthcare fields while allowing users to access other Contact fields should be handled through Salesforce permissions, field-level security, Data 360 governance permissions, and related access controls-not by creating an entire Business Unit.
Option A can benefit from Business Units for organizational or branding separation, but different subscriptions or messaging configurations alone don't establish the strongest requirement for segregating customer datasets.
Important correction: the uploaded master document keys this item as B . Current Salesforce documentation explicitly states that Business Units use Data Spaces to keep data separate and are appropriate for organizational divisions such as geographic regions, brands, or isolated audiences. Therefore, the verified answer is C , not B.
Study Guide Reference: Platform Setup and Governance # Business Units # Data Spaces, Data Isolation, and User Access.
NEW QUESTION # 81
Northern Trail Outfitters is designing its consent management framework using the standard Data 360 data model.
Which data model object (DMO) represents a category or purpose of communication that individuals can subscribe to or unsubscribe from?
Answer: A
Explanation:
The Communication Subscription DMO represents the category or purpose of marketing communication itself. Examples include Product Updates, Weekly Deals, Newsletters, Promotions, or Events. Salesforce's Marketing Cloud Next documentation directs marketers to create a communication subscription for each category of marketing content they send.
After creating a Communication Subscription, one or more channel types-such as Email, SMS, RCS, or WhatsApp where supported-can be associated with that subscription. This channel relationship is represented separately through the Communication Subscription Channel Type model.
Communication Subscription Consent , by contrast, stores the individual's actual consent state in relation to the relevant subscription/contact-point/channel context. It doesn't define the communication category itself.
Therefore, C correctly identifies the object representing the subscription concept that recipients can choose to receive or decline.
The source bank keys C. Salesforce's official documentation states that a communication subscription should be created for each category of marketing content, such as product updates, and that communication channels are then added to that subscription.
Study Guide Reference: Consent # Communication Subscription Data Model # Subscription, Channel Type, and Subscription Consent.
NEW QUESTION # 82
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