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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Platform Setup & Governance | 13% | - Domain authentication and authorization
|
| Topic 2: Agentforce & AI Innovation | 11% | - Conversational messaging
|
| Topic 3: Analytics & Performance Insights | 8% | - Marketing data and insights
|
| Topic 4: Consent | 13% | - Consent management concepts
|
| Topic 5: Campaign Design, Flow Orchestration & Content | 30% | - Landing pages
|
| Topic 6: Data Modeling, Identity Resolution & Segmentation | 25% | - Data 360 data model
|
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Achieving a good score on the Salesforce MC-Con-201 exam on the first attempt is a common goal for many candidates. However, some believe that studying good Salesforce Certified Marketing Cloud Next Consultant (MC-Con-201) materials isn't necessary. This notion, however, is far from true. The right preparation material for the MC-Con-201 Exam is critical for success, and failing to find the most up-to-date Salesforce MC-Con-201 materials can lead to a wasted effort and expense.
NEW QUESTION # 15
A Marketing Cloud Next Consultant wants to build an audience flow to send a promotional email series. To prevent a poor customer experience, the flow must suppress each email for any customer who currently has an open support case.
Which flow elements and logic should the consultant configure to solve this suppression?
Answer: A
Explanation:
The most appropriate pattern is Get Records followed by Decision . The flow needs information from a related CRM object-the Case object-that isn't inherently part of the current audience-flow record. A Get Records element can retrieve a matching Case for the customer using criteria such as Contact ID and an open Case status. The subsequent Decision element evaluates whether an open Case was returned and routes the customer accordingly.
Customers with an open case can be diverted away from the Send Email Message path, while those without a matching open Case proceed through the promotional sequence. This structure keeps the suppression condition explicit and maintainable within the flow.
An "Exclusion Filter" isn't the standard Flow Builder element presented for this type of CRM-record lookup and routing. A Decision element alone also can't simply assume access to arbitrary related Case data; the related records first need to be retrieved or otherwise supplied to the flow.
Salesforce lists both Get Records and Decision as supported Flow Builder elements for marketing automation. The supplied master bank likewise keys option A.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Flow Elements # Get Records and Decision.
NEW QUESTION # 16
Northern Trail Outfitters (NTO) wants to send a confirmation email immediately after a prospect submits a form on a landing page published in Marketing Cloud Next. NTO wants to personalize the email using the values entered in the submitted form.
Which data source should NTO use when configuring the email?
Answer: B
Explanation:
An Event Data Provider is appropriate because the email is triggered by a discrete event-specifically, a landing-page form submission-and the email must use values contained in that event payload. Salesforce categorizes Event as a supported Marketing Cloud Next personalization data source and describes events as activities such as order confirmations and subscription signups that trigger flows.
A form submission can launch an Automation Event-Triggered Flow. Data associated with the triggering event can then be exposed to message content through the Event Data Provider, allowing submitted values such as first name, selected product, event choice, or form responses to appear as merge fields.
A Data Graph is better suited to persistent profile and related Data 360 information. It isn't necessary when the desired values are already available from the triggering event. Activation Data Provider is used when personalization attributes come from a Data 360 segment activation.
Salesforce documentation demonstrates the same pattern: event-triggered emails can use event values through Event Data Provider merge fields. The uploaded bank keys A.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Event-Triggered Marketing # Event Data Provider Personalization.
NEW QUESTION # 17
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 # 18
The marketing team at Northern Trail Outfitters needs to deploy a large group of new audience segments next week.
To prevent an unexpected credit spike in their Digital Wallet, which configuration settings should the team check and adjust to make sure the segments run efficiently before any data processing begins?
Answer: C
Explanation:
Salesforce specifically recommends optimizing Run Mode, scheduling frequency, end conditions, and Lookback Window to reduce Data 360 segmentation credit consumption.
Run Mode determines whether a segment publishes automatically or only when requested. During development or testing, Salesforce recommends avoiding unnecessary scheduled publishes. Frequency directly affects how often Data 360 recomputes segment membership; running more often than the source data changes wastes credits. The Ends setting prevents a segment from continuing to execute after the business need has expired.
The Lookback Window is equally important because it controls how much historical data must be evaluated.
Narrowing the window to the minimum period required by the use case reduces records processed and therefore processing costs.
The criteria identified in option B affect segment definition and results but don't represent the specific billing- optimization controls Salesforce highlights before processing begins. Option A combines unrelated configuration concepts.
The uploaded source correctly keys C. Salesforce's current billing guidance explicitly names Run Mode, Frequency, Ends, and Lookback Window as settings to optimize for lower segmentation consumption.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Segmentation # Billing Considerations and Credit Optimization.
NEW QUESTION # 19
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: A
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 # 20
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