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| Section | Weight | Objectives |
|---|---|---|
| Consent | 13% | - Consent collection
|
| Data Modeling, Identity Resolution & Segmentation | 25% | - Data 360 data model
|
| Platform Setup & Governance | 13% | - Business Units and governance
|
| Campaign Design, Flow Orchestration & Content | 30% | - Personalized messaging data
|
| Agentforce & AI Innovation | 11% | - Conversational messaging
|
| Analytics & Performance Insights | 8% | - Reporting and analytics
|
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問題 #103
Northern Trail Outfitters (NTO) wants to design an event registration experience in Marketing Cloud Next.
NTO asks for a call-to-action (CTA) button in an email that sends visitors to the registration form.
How should the Marketing Cloud Next Consultant create the registration form?
答案：A
解題說明：
Marketing Cloud Next forms are designed to be presented through landing pages . Salesforce explicitly states that marketers create a form and add it as a component to a landing page. The landing page supplies the publicly accessible URL that can then be promoted through email, web, or other channels.
Therefore, NTO should create the event-registration form, associate it with the appropriate processing flow, place the form on a Marketing Cloud Next landing page, publish the landing page, and configure the email CTA to point to the page's public URL.
A form isn't intended to function as a standalone public web asset independently of a landing page. Salesforce notes that customers can't view a form until it's placed on a landing page that is published and has an active URL alias. Likewise, embedding a functional Marketing Cloud Next form directly inside an email isn't the supported registration architecture and would also face significant email-client limitations.
The uploaded master bank identifies C. Salesforce's current documentation directly states that forms should be added as components to landing pages and promoted by linking to those pages.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Forms and Landing Pages
# Registration Experiences.
問題 #104
A Marketing Cloud Next Consultant needs to track the number of emails and SMS messages sent and determine how many credits remain in their entitlement.
How should the consultant find this information?
答案：C
解題說明：
Digital Wallet Consumption Cards provide the appropriate operational view of messaging-credit consumption and remaining entitlement. Salesforce states that Digital Wallet displays consumption-based product information for Marketing Cloud Next, including Email and SMS Messaging Credits.
Each Consumption Card includes key entitlement metrics such as Credits Consumed, Credits Remaining, Consumption Percentage, and entitlement expiration information . This gives the consultant a direct view of how much messaging capacity has been used and what remains without requiring custom analytics.
Salesforce also documents that users can open a Consumption Card and choose View Consumption Details for additional usage information over time. This is significantly more appropriate than Data 360 harmonization logs, which relate to data processing and don't measure email/SMS messaging entitlements.
Usage-related information can exist elsewhere in Salesforce setup, but the question specifically asks for both message consumption and remaining credits. Digital Wallet Consumption Cards are the purpose-built interface for that requirement.
The uploaded source keys A. Salesforce's current July 2026 documentation confirms that Digital Wallet Consumption Cards display messaging usage, credits consumed, and credits remaining.
Study Guide Reference: Analytics and Performance Insights # Digital Wallet # Messaging Credit Consumption and Entitlements.
問題 #105
Northern Trail Outfitters wants to reduce customer email fatigue and opt-outs.
Which feature should the Marketing Cloud Next Consultant configure to achieve this goal?
答案：B
解題說明：
Einstein Engagement Frequency is specifically designed to determine an appropriate email-contact frequency for each subscriber and reduce over-messaging. Salesforce states that the model analyzes each contact's engagement history to determine the optimal frequency for sending email and explicitly identifies reducing unsubscribes caused by email fatigue as a primary benefit.
This differs from Send Time Optimization. STO predicts when an individual is most likely to engage with a particular communication; it doesn't primarily determine whether that person is receiving too many emails overall. Engagement Frequency addresses the volume and cadence dimension.
Messaging Insights provides analytical insights but isn't the predictive frequency-management feature described in the scenario.
A marketer can therefore use Engagement Frequency to identify contacts who are oversaturated, appropriately saturated, or potentially undersaturated and apply that information when defining campaign audiences or communication strategies. This makes it the correct Einstein capability when the business objective is decreasing customer fatigue and consequent opt-outs.
The uploaded question bank correctly identifies A.
Study Guide Reference: Agentforce and AI Innovation # Einstein Engagement Frequency # Email Fatigue and Subscriber Optimization.
問題 #106
Northern Trail Outfitters wants to send a post-purchase follow-up message via WhatsApp. The message must include the Order Number from the purchase that triggered the send.
Which data source type should a Marketing Cloud Next Consultant configure to include the Order Number in the WhatsApp message?
答案：C
解題說明：
The correct data source is Event because the required Order Number belongs to the purchase event that initiated the marketing interaction. Marketing Cloud Next supports Event as a personalization data source for Email, SMS, and WhatsApp messages . Event-based personalization makes attributes carried by the triggering event available as merge fields within the message.
In this scenario, when the purchase occurs, the triggering event contains contextual transaction information such as the Order Number. The WhatsApp template can reference that event attribute directly without requiring the value to be separately persisted and retrieved through a Data Graph.
A Data Graph is more appropriate when personalization requires persistent customer-profile information or attributes from related Data 360 objects. A Salesforce Record source is appropriate when the content specifically needs fields from a CRM record supplied to the personalization context. Neither is necessary when the desired information originates directly from the event that triggered the message.
The uploaded master bank identifies option C. Salesforce's personalization reference confirms that Event is supported for WhatsApp and can supply event-based attributes to marketing content.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Content Personalization # Event Data Sources and WhatsApp Messaging.
問題 #107
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?
答案：C
解題說明：
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.
問題 #108
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