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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Platform Setup & Governance | 13% | - Business Units, governance model, roles and permissions - Marketing Cloud Next environment provisioning and Data 360 setup - Domain authentication (DKIM, SPF) and IP configuration |
| Topic 3: Analytics & Performance Insights | 8% | - Marketing data visualization and performance insights - Standard dashboards and reporting selection |
| Topic 4: Consent | 13% | - Consent data objects and records management - Consent banner configuration and collection methods - Consent management concepts and regulatory compliance |
| Topic 5: Agentforce & AI Innovation | 11% | - Predictive AI capabilities and use cases - Marketing Agents for campaign and audience automation - Conversational messaging with Agentforce |
| Topic 6: Campaign Design, Flow Orchestration & Content | 30% | - Flow design, orchestration, triggers and messaging - Personalization with Handlebars and dynamic content - Activation templates, landing pages and multi-channel design |
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NEW QUESTION # 94
Northern Trail Outfitters (NTO) is designing a monthly 'Trail Rewards' email in Marketing Cloud Next. NTO needs to dynamically personalize the template using two data points:
* The number of 'Days Since Last Login' to nudge digital adoption
* The customer's current 'Loyalty Tier' based on their lifetime spend to apply the correct branding To minimize Flex Credit consumption within their Digital Wallet, how should a Marketing Cloud Next Consultant configure the template?
Answer: B
Explanation:
Option A applies the least computationally intensive feature appropriate to each requirement. Days Since Last Login is fundamentally a row-level derived value based on an existing login-date attribute, so a Data
360 data-stream formula can derive a supplemental field without requiring an analytical aggregation pipeline.
Salesforce supports formula fields derived from other fields, functions, and operators during data-stream processing.
Loyalty Tier based on lifetime spend , however, requires aggregation across potentially many transaction records for each customer. A batch calculated insight is designed for that type of multi-record calculation.
Because the email is monthly, a daily batch calculation is adequate; there is no business need to pay the higher processing cost associated with streaming computation.
Streaming calculated insights consume Data 360 Streaming Pipeline Flex Credits based on processed records. Batch calculated insights are billed under Data 360 Prep according to underlying records processed.
Therefore, unnecessary streaming should be avoided when sub-second freshness isn't required.
A formula-field caveat is that Salesforce recalculates a data-stream formula when the corresponding record is refreshed or changed, so implementation scheduling must ensure the value is sufficiently current for the monthly send.
The master bank keys A.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Data 360 Calculations # Formula Fields, Calculated Insights, and Credit Optimization.
NEW QUESTION # 95
Northern Trail Outfitters wants website visitors to be able to register for an upcoming event on a landing page. When a visitor submits the registration form, a Lead record should be created in CRM.
Which set of components should a Marketing Cloud Next Consultant configure to support this use case?
Answer: C
Explanation:
Marketing Cloud Next's native lead-generation architecture uses a landing page, form, and flow . Salesforce states that forms collect visitor information, landing pages host the forms, and flows process the submitted values. When a Signup Form campaign is used, Marketing Cloud Next can automatically create and connect these assets.
The form can use Salesforce Lead as a data source. After submission, the associated flow performs the appropriate CRM actions, such as creating the Lead and optionally creating consent or sending follow-up communications. Salesforce specifically describes a form as having two functional pieces: its fields/settings and the flow that processes submitted data.
A form handler is generally used when integrating external forms rather than when building the registration experience natively on a Marketing Cloud Next landing page. A separate Data 360 data stream isn't required simply to create the CRM Lead from the native form.
The uploaded master bank identifies option B.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Forms and Landing Pages
# Signup Form Campaigns and Lead Creation.
NEW QUESTION # 96
A Marketing Cloud Next Consultant wants to automate opt-in consent creation when new contacts are added to Salesforce.
What should the consultant use to ensure consent records are created and updated reliably?
Answer: C
Explanation:
C is the currently supportable answer among these choices. The uploaded bank originally keys A.
However, Salesforce's August 2026 consent guidance explicitly states that the legacy MessagingConsent and MessagingConsentV2 Flow actions should not be used for Marketing Cloud Next consent because they can fall out of synchronization with the Marketing Cloud Next consent layer. Salesforce directs implementations to use Create Consent/Consent Request instead.
Create Consent is supported in Data 360-triggered flows and updates the applicable contact point for a specified channel and communication subscription. Direct writes into the underlying consent DLO/DMO, as described in B, bypass the supported consent service and aren't reliable for sending-time consent evaluation.
For a CRM-originated Contact creation, Salesforce's preferred current architecture is actually an Automation Event-Triggered Flow based on the Contact change plus Create Consent . That exact combination isn't offered. Of A-C, C is therefore the only option that uses the supported consent-writing mechanism.
Study Guide Reference: Consent # Creating and Updating Consent # Create Consent/Consent Request.
NEW QUESTION # 97
Northern Trail Outfitters uses distinct Business Units for each of its shoe lines. The central marketing team needs to provide a set of legally approved brand logos and disclaimers that all marketers, regardless of Business Unit, must use in their emails. The goal is to enforce brand consistency while giving Business Unit marketers the ability to create their own campaigns.
Which governance model should the Marketing Cloud Next Consultant recommend to meet this requirement?
Answer: B
Explanation:
Common Assets is specifically designed to distribute governed reusable content across Marketing Cloud Next Business Units. Salesforce states that Common Assets is a library that makes content available to all Business Units . Members can post approved content from their workspace to the library, and marketers in other Business Units can copy that content into their own workspaces.
This makes it well suited to centrally governed items such as logos, legal disclaimers, approved documents, forms, landing-page templates, and email assets. Salesforce's supported Common Assets content types include Email, images, documents, forms, preference pages, and several other CMS types.
Option A incorrectly assumes ordinary folder permissions provide a cross-Business-Unit governance mechanism. Option C would grant users access directly into another Business Unit's workspace, undermining the isolation that Business Units are intended to provide.
Using a central workspace as the authoritative creation location while publishing approved reusable assets through Common Assets preserves both centralized governance and regional campaign autonomy.
The uploaded source correctly identifies B.
Study Guide Reference: Platform Setup and Governance # Business Units # Common Assets and Centralized Content Governance.
NEW QUESTION # 98
How does Marketing Cloud Next evaluate consent when determining whether a marketing message can be sent to a customer?
Answer: C
Explanation:
Marketing Cloud Next evaluates consent at the intersection of a contact point, engagement channel, and communication subscription . Salesforce's consent model is deliberately granular so that customers can make different decisions for different channels and categories of marketing content.
For example, the same customer might opt in to the "Weekly Deals" subscription by SMS while declining the same subscription by email. They might simultaneously remain opted in to a separate "Product Updates" email subscription. Salesforce explicitly states that customers give consent for each channel type associated with a communication subscription.
The contact point is also significant. Consent is tied to contact-point values-such as a particular email address or telephone number-rather than simply being stored as one global preference on the Unified Individual. Salesforce notes that a Unified Individual can contain multiple contact points and that consent checks evaluate those contact points during sending.
Options B and C incorrectly describe consent as globally shared.
The source bank correctly identifies A.
Study Guide Reference: Consent # Consent Evaluation # Contact Point, Channel, and Communication Subscription.
NEW QUESTION # 99
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