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Salesforce MC-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Analytics & Performance Insights	8%	- Reporting and analytics 1. Matching dashboards to reporting requirements 2. Pre-built dashboards - Marketing data and insights 1. Surfacing marketing data across Salesforce 2. Marketing performance insights
Consent	13%	- Consent management concepts 1. Consent and compliance requirements 2. Consent in customer engagement - Consent collection 1. Consent banners on external pages 2. Consent banners on marketing landing pages - Consent record management 1. Managing and updating consent records 2. Creating consent records - Consent data model 1. Consent preference records 2. Platform consent objects
Campaign Design, Flow Orchestration & Content	30%	- Activation templates 1. Contact point value selection 2. Activation template configuration - Landing pages 1. Landing page components 2. Landing page configuration - Personalized messaging data 1. Selecting appropriate data sources 2. Adding customer data to messaging content - Personalization 1. Repeaters 2. Merge fields 3. Handlebars 4. Content variations 5. AMPscript - Flow orchestration 1. Trigger conditions 2. Flow configuration settings 3. Flow elements and logic 4. Flow types 5. Automated business processes and messaging
Platform Setup & Governance	13%	- Marketing Cloud Next environment setup 1. Core Org Edition requirements 2. Marketing Data Kit installation 3. Data 360 provisioning 4. Permission sets - Business Units and governance 1. Roles and Enhanced CMS Workspaces 2. Content and user governance 3. Business Unit requirements - Domain authentication and authorization 1. Domain authorization 2. Self-service domain authentication 3. Branded and authenticated email delivery
Data Modeling, Identity Resolution & Segmentation	25%	- Identity Resolution 1. Unified customer profiles 2. Identity Resolution configuration 3. Linking multiple data sources - Consumption and entitlements 1. Data 360 consumption-based entitlements 2. Platform usage optimization 3. Marketing automation consumption - Data 360 data model 1. Connecting and harmonizing customer data 2. Customer data activation 3. Data objects and Data Model Objects - CRM data ingestion and activation 1. Content personalization using CRM data 2. Audience segmentation and activation 3. Actionable Lists 4. CRM objects and records
Agentforce & AI Innovation	11%	- Marketing agents 1. Audience segmentation 2. Content generation 3. Automated campaign creation - Predictive AI 1. Selecting appropriate predictive AI features - Conversational messaging 1. Ongoing interactions across messaging channels 2. Customer engagement 3. Response handling

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Salesforce Certified Marketing Cloud Next Consultant Sample Questions (Q81-Q86):

NEW QUESTION # 81
A Marketing Cloud Next Consultant wants to create a single, consistent profile for each customer by linking records from various sources like CRM, ecommerce, and loyalty systems. To achieve this, the consultant must create a process to group matching records based on shared identifiers.
Which component must the consultant configure in Data 360?

A. Audience Flow
B. Data Graph
C. Identity Resolution ruleset

Answer: C

Explanation:
An Identity Resolution ruleset is the Data 360 component responsible for linking source profiles from different systems into unified customer profiles. A ruleset contains match rules and reconciliation rules that govern the unification process.
Match rules determine whether records from CRM, ecommerce, loyalty, or other systems represent the same person by comparing attributes such as names, normalized email addresses, telephone numbers, party identifiers, device identifiers, or other matching criteria. When records satisfy a match rule, Data 360 associates them with the same Unified Individual.
Reconciliation rules perform a different but complementary function: after records are matched, they determine which source value should represent single-valued unified attributes such as First Name.
A Data Graph doesn't perform entity resolution. It exposes primary and related data efficiently for personalization or other consumption use cases after the underlying model exists. An Audience Flow orchestrates communications to an audience; it doesn't unify identities.
The uploaded bank correctly identifies B. Salesforce's official Identity Resolution documentation confirms that rulesets contain match and reconciliation rules that link multiple source profiles into unified profiles.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Identity Resolution # Rulesets, Match Rules, and Reconciliation Rules.

NEW QUESTION # 82
A Marketing Cloud Next Consultant uses the Campaign Creation Agent to generate a campaign brief, flow, and email assets from a single prompt. They now need a matching audience segment without rewriting the audience description.
How should the consultant generate the segment so it reflects the campaign brief?

A. Create a new segment, choose Segment Creation, and describe the Segment.
B. Ask the Campaign Creation Agent in the Agentforce chat to build the segment during campaign creation.
C. Open the segment builder from the Campaign, choose Segment Creation, and review the generated Segment draft.

Answer: C

Explanation:
Salesforce supports generating a draft segment as part of an AI-assisted campaign when Einstein Segment Creation is enabled. The Campaign Creation Agent generates the campaign brief and campaign preview, and the resulting campaign can include a draft audience segment derived from the same campaign context.
Therefore, the marketer doesn't need to recreate the audience definition manually. From the Campaign, the consultant can open the related segment experience, use Segment Creation, and review or refine the generated draft before publishing it. This preserves the target-audience logic already established by the campaign brief.
Option A would require independently describing the segment again, which contradicts the requirement to avoid rewriting the audience description. Option B oversimplifies how the generated segment is managed:
Campaign Creation can generate the campaign context and associated draft, but marketers still review the segment through the segment-building experience before using it operationally.
The uploaded bank identifies C.
Study Guide Reference: Agentforce and AI Innovation # Campaign Creation Agent # Einstein Segment Creation and Campaign Brief Grounding.

NEW QUESTION # 83
Northern Trail Outfitters wants to send a personalized one-time verification code immediately after a customer initiates a login on its website. An external web service generates the code and must pass it to Marketing Cloud Next at send time.
Which solution should the Marketing Cloud Next Consultant recommend?

A. Create a Data 360-triggered flow that retrieves the verification code from a real-time Data Graph and uses a Send Email Message element to send the email.
B. Create an automation event-triggered flow that waits for the verification code to be ingested through streaming ingestion and uses a Send Email Message element to send the email.
C. Create an on-demand flow invoked through the REST API that includes the verification code in the API request and uses a Send Email Message element to send the email.

Answer: C

Explanation:
An On-Demand Flow invoked through the REST API is specifically designed for externally initiated, real- time automation in Marketing Cloud Next. Salesforce supports triggering this flow type by calling the Flow invocable-action REST endpoint. Input variables can be supplied with the request and then used by downstream flow actions.
That architecture is ideal for a one-time verification code. The external authentication service generates the code, calls the Marketing Cloud Next on-demand flow, passes the code and recipient information as input values, and the flow immediately uses those values in the Send Email Message action.
There is no reason to persist an ephemeral security value such as a one-time code into Data 360 merely so it can be read back by a Data Graph. Doing so adds ingestion and synchronization latency. Similarly, waiting for an Automation Event-Triggered Flow to detect streamed data introduces unnecessary infrastructure when the external system already knows exactly when the message must be sent.
The uploaded bank correctly keys C. Salesforce's On-Demand Flow release documentation explicitly states that REST API calls can trigger this flow type for externally initiated marketing interactions.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # On-Demand Flows # REST API Invocation and Runtime Personalization.

NEW QUESTION # 84
Northern Trail Outfitters wants to automatically send a promotional email to new CRM Contacts using Marketing Cloud Next.
Before the email can be sent, what should the Marketing Cloud Next Consultant configure to ensure a new contact is eligible to receive promotional communications?

A. Use the Create Consent Flow element to set a consent status for the contact point.
B. Set the Has Opted Out of Email field on the Contact record to False.
C. Create a consent record in the Communication Subscription Consent CRM object.

Answer: A

Explanation:
Option B is the currently verified Salesforce-supported approach. Marketing Cloud Next treats a prospect, Lead, or Contact without applicable consent as opted out by default. Therefore, before a new Contact can receive promotional marketing, a valid opt-in must exist for the relevant contact point, channel, and communication subscription .
Salesforce's current 2026 guidance states that consent changes originating from CRM record creation or updates should be handled with an Automation Event-Triggered Flow using the Prospect, Lead, Contact, or Related Record Change event, followed by the Consent Request/Create Consent action . That supported action writes the consent so that Marketing Cloud Next honors it at send time.
Option C is explicitly insufficient because HasOptedOutOfEmail isn't automatically synchronized with Marketing Cloud Next consent. Option A is misleading because directly manipulating a separate CRM consent record doesn't itself establish supported Marketing Cloud Next sending consent.
The uploaded document keys this question as A. However, Salesforce's updated July-August 2026 documentation supersedes that approach and explicitly directs implementations to Create Consent/Consent Request.
Study Guide Reference: Consent # Creating and Updating Consent # Create Consent / Consent Request Flow Action.

NEW QUESTION # 85
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?

A. Replace the record-triggered flow with an audience flow using a segment of leads who clicked the product link, and use the Create Consent action inside that flow.
B. Create a Data 360-triggered flow on the Email Engagement Data Model Object (DMO), filtered on Clicks and the specific product link URL, and use the Send time Email Address field to create the consent record.
C. Add a Get Records element before the Create Consent action inside the same record-triggered flow to retrieve the Contact Point Email record, and use its ID as the input for the Create Consent action.

Answer: B

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 # 86
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