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| Section | Weight | Objectives |
|---|---|---|
| Platform Setup & Governance | 13% | - Domain authentication and authorization
|
| Analytics & Performance Insights | 8% | - Marketing data and insights
|
| Data Modeling, Identity Resolution & Segmentation | 25% | - Consumption and entitlements
|
| Consent | 13% | - Consent data model
|
| Campaign Design, Flow Orchestration & Content | 30% | - Landing pages
|
| Agentforce & AI Innovation | 11% | - Marketing agents
|
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NEW QUESTION # 99
Employees at an online retailer want to use AI to gain insights into existing business accounts and identify buyer group members to nurture.
Which Marketing Cloud Next Agent should they deploy?
Answer: C
Explanation:
Account Discovery is the purpose-built Marketing Cloud Next agent for examining existing business accounts and helping marketers identify additional people who may belong to relevant buyer groups.
Salesforce lists several standard actions associated specifically with the Account Discovery agent, including Get Marketing Scores, Get Recent Activities, Summarize Conversations, and Find New Buyer Group Members . Those capabilities directly match this scenario: employees need account-level intelligence and want to discover additional stakeholders who can be nurtured.
Agentforce Employee is a broader employee-facing Agentforce capability rather than the specialized marketing agent designed for account discovery. Segment Creation addresses a different requirement: it translates audience descriptions into Data 360 segmentation criteria. It doesn't primarily analyze business accounts or identify prospective buyer-group participants.
Therefore, Account Discovery is the correct specialized agent. The uploaded master bank also identifies option B. Current Salesforce documentation explicitly includes Find New Buyer Group Members among the Account Discovery agent's standard actions.
Study Guide Reference: Agentforce and AI Innovation # Marketing Agents # Account Discovery and Buyer Group Identification.
NEW QUESTION # 100
Northern Trail Outfitters wants to create a campaign targeting prospects. However, a marketer discovers that prospect records cannot be added as campaign members.
How should a Marketing Cloud Next Consultant explain this behavior?
Answer: B
Explanation:
Salesforce explicitly lists an important limitation for the Marketing Cloud Next Prospect object: a prospect can't directly be added to a Salesforce Campaign as a Campaign Member. Campaign Member relationships use supported CRM person records, principally Leads and Contacts. Therefore, if the business process requires an actual Campaign Member record, the prospect must first be converted or otherwise represented as a supported Lead or Contact.
This doesn't mean prospects are unusable for marketing. Marketing Cloud Next can ingest and manage prospects, create related Individual records in Data 360, include them in Unified Individual processing, score them, segment them, and nurture them. Salesforce also supports converting qualified prospects into Leads or Contacts when they reach the appropriate stage.
Option B is incorrect because using an Audience Flow doesn't remove the underlying Campaign Member object limitation. Option C is also incorrect; activating the campaign doesn't change the supported record types for Campaign Members.
The uploaded master bank keys A. Salesforce's current Prospect considerations explicitly state that a Prospect can't be added to a campaign as a campaign member.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # People Records # Prospects, Leads, Contacts, and Campaign Members.
NEW QUESTION # 101
Northern Trail Outfitters (NTO) runs a weekly promotional newsletter. NTO's Marketing Cloud Next Consultant has configured a record-triggered flow on the Lead object in Salesforce that fires when a lead clicks a specific product link in an email. The flow is meant to automatically opt the lead in to a product subscription using the Create Consent action, but the consent record consistently fails to create.
What should the consultant configure instead?
Answer: C
Explanation:
The uploaded bank keys C , which places the automation at the layer where the actual email-click engagement exists: Data 360 engagement data.
Current Salesforce documentation supports the core architecture. Create Consent is supported in Data Cloud
/Data 360-triggered flows and can be used to automate consent updates based on behavioral data such as a link click . Salesforce explicitly describes link clicks and form submissions as valid sources for automated Create Consent processing.
The original CRM Lead record doesn't itself become updated merely because an email engagement event occurred, so a conventional Lead record-triggered flow is an unreliable trigger for this behavior. A Data 360- triggered flow can instead react to the appropriate engagement DMO event and pass the relevant sending contact point into Create Consent.
The source specifically identifies the Email Engagement DMO, click criteria, link URL, and Send time Email Address fields. Those exact field-level details are source-derived; current public Salesforce documentation independently confirms the broader Data 360-triggered + Create Consent pattern.
Study Guide Reference: Consent # Behavioral Consent Automation # Data 360-Triggered Flow and Create Consent.
NEW QUESTION # 102
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: C
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 # 103
A company is evaluating which Salesforce features require Marketing Cloud Next Advanced Edition versus the Growth Edition. The implementation team has a list of features they plan to use.
Which feature from their list mandates the use of Advanced Edition?
Answer: B
Explanation:
Among the available choices, A is the intended Advanced-edition capability. Standard content creation is a core Marketing Cloud Next capability available in both Growth and Advanced editions, so C doesn't require Advanced. Standard Salesforce reporting likewise isn't inherently restricted to Marketing Cloud Next Advanced, eliminating B.
The edition distinction becomes important for account-oriented marketing capabilities. Salesforce's current implementation documentation identifies Account scoring as an Advanced Edition capability and requires identity resolution for both Individual and Account objects before configuring people-and-account scoring.
This is why account-level identity infrastructure appears in Advanced-focused implementation scenarios.
There is an important technical nuance: Salesforce's general Identity Resolution documentation describes creating custom rulesets for either Individual or Account and doesn't independently state, in the current public article, that merely creating an Account ruleset is universally Advanced-only. The Advanced restriction is explicitly documented around the account-oriented scoring capability that depends on that ruleset. Within the supplied options and certification context, however, A is the valid answer ; B and C are clearly Growth- supported functionality.
The master bank also keys A.
Study Guide Reference: Platform Setup and Governance # Editions and Feature Availability # Growth vs. Advanced.
NEW QUESTION # 104
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