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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Campaign Design, Flow Orchestration & Content | 30% | - Personalized messaging data
|
| Topic 2: Data Modeling, Identity Resolution & Segmentation | 25% | - Data 360 data model
|
| Topic 3: Analytics & Performance Insights | 8% | - Reporting and analytics
|
| Topic 4: Agentforce & AI Innovation | 11% | - Marketing agents
|
| Topic 5: Consent | 13% | - Consent management concepts
|
| Topic 6: Platform Setup & Governance | 13% | - Domain authentication and authorization
|
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NEW QUESTION # 63
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?
Answer: C
Explanation:
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.
NEW QUESTION # 64
A car dealership manages both retail consumers (B2C) and business fleet customers (B2B). Customer data for each audience is ingested through separate data streams in a single data space and mapped to the Individual Data Model Object (DMO). The dealership wants to create separate identity resolution rulesets for B2B and B2C customers so that each audience can be unified independently for segmentation and activation.
Which approach should the Marketing Cloud Next Consultant recommend to ensure B2B and B2C customers are processed by separate identity resolution rulesets?
Answer: C
NEW QUESTION # 65
A Marketing Cloud Next Consultant wants to use marketing agents to automate the generation of a new campaign, draft email content, and build an audience segment in the company's account.
What is the best workflow for the consultant to use?
Answer: A
Explanation:
Marketing Cloud Next provides purpose-built AI capabilities rather than requiring marketers to construct a custom Agentforce agent for standard campaign creation. The Campaign Creation Agent can use a natural- language objective to draft a campaign brief, refine the campaign concept, generate campaign assets, and establish audience requirements. Audience generation is then completed through the dedicated Segment Creation capability, which translates natural-language audience requirements into Data 360 segment criteria that the marketer can review and publish.
This separation is important. Campaign Creation and Segment Creation are specialized capabilities with related but distinct responsibilities. Therefore, option C overstates what the Campaign Creation Agent natively performs by implying that it directly completes every segment-building operation within one campaign-generation action.
Option B is technically overengineered for the stated requirement. Custom Agentforce actions and Prompt Builder are valuable when an organization needs bespoke business logic, but standard campaign and audience creation already have supported Marketing Cloud Next capabilities.
The uploaded question bank keys A.
Study Guide Reference: Agentforce and AI Innovation # Agentforce in Marketing Cloud Next # Campaign Creation and AI-assisted Segment Creation.
NEW QUESTION # 66
Northern Trail Outfitters (NTO) wants to send a monthly update email that includes the total number of items each customer has purchased to date, as well as that customer's favorite category. NTO wants to include fields such as 'Total Items' and 'Category Name' in the email, but these fields do not exist within the raw ecommerce order data, which is currently ingested and mapped in Data 360.
How should NTO resolve this issue?
Answer: C
Explanation:
A Calculated Insight is designed for aggregations across multiple Data 360 records. The requested values aren't simple attributes stored on one ecommerce order. "Total Items" requires aggregation across the customer's purchase history, while "Favorite Category" requires grouping purchase activity by category and identifying the dominant result.
Salesforce Calculated Insights support aggregate metrics such as sums and counts together with dimensions that enable more granular analysis. Salesforce also supports calculated insight metrics in activations and downstream personalization scenarios.
A streaming insight is unnecessary because the campaign runs monthly and doesn't require second-by-second recalculation. Using a standard formula field as proposed in C also doesn't solve multi-record ecommerce aggregation: formula expressions aren't a substitute for analytical rollups across transaction history.
The uploaded source keys B. One wording issue exists in option B: it says "aggregate the purchase volume for the account," while the scenario ultimately requires values associated with each Unified Individual. The underlying architectural principle remains correct-use a Calculated Insight grouped appropriately to the customer/profile dimension.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Calculated Insights # Metrics, Dimensions, and Aggregations.
NEW QUESTION # 67
Northern Trail Outfitters' sales reps want to see the Overall Marketing Score for leads, contacts, and prospects on the record page.
What should the Marketing Cloud Next Consultant do to achieve this?
Answer: C
Explanation:
The Data 360 Profile Insights component is Salesforce's prescribed component for surfacing marketing scores directly on relevant CRM record pages. Salesforce explicitly states that administrators can add this component to Lead and Contact pages and configure it to display Overall Marketing Score, Marketing Engagement Score, and Marketing Fit Score .
This gives sales users an immediate, contextual indication of marketing readiness and engagement without requiring them to open a separate report or dashboard. These scores can help sales teams identify which leads or contacts have the greatest likelihood of engagement or conversion.
A custom report isn't the intended embedded scoring experience and adds unnecessary reporting overhead.
Unified Engagement History serves a different purpose: it surfaces historical marketing interactions such as email or web engagement. It isn't the component used to display the calculated Overall Marketing Score.
The uploaded source identifies B.
The file wording includes prospects in addition to leads and contacts. Current Salesforce scoring documentation most explicitly describes the Profile Insights component on Lead and Contact record pages; the source supplies the broader exam framing.
Study Guide Reference: Analytics and Performance Insights # Marketing Scoring # Data 360 Profile Insights.
NEW QUESTION # 68
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