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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Campaign Design, Flow Orchestration & Content | 30% | - Activation templates
|
| Topic 2: Data Modeling, Identity Resolution & Segmentation | 25% | - Data 360 data model
|
| Topic 3: Agentforce & AI Innovation | 11% | - Marketing agents
|
| Topic 4: Consent | 13% | - Consent record management
|
| Topic 5: Platform Setup & Governance | 13% | - Domain authentication and authorization
|
| Topic 6: Analytics & Performance Insights | 8% | - Reporting and analytics
|
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By reviewing these results, you will be able to know and remove your mistakes. These MC-Con-201 practice exams are created as per the pattern of the Salesforce Certified Marketing Cloud Next Consultant (MC-Con-201) real examination. Therefore, Salesforce Certified Marketing Cloud Next Consultant (MC-Con-201) mock exam takers will experience the real exam environment. It will calm down their nerves so they can appear in the MC-Con-201 final test without anxiety or fear.
NEW QUESTION # 47
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: B
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 # 48
Northern Trail Outfitters is implementing identity resolution in Data 360 and wants to understand how subsequent runs affect credit consumption.
Which records does Data 360 process during each subsequent identity resolution run?
Answer: B
Explanation:
After the initial Identity Resolution processing, Data 360 uses incremental processing so that unchanged source records don't need to be repeatedly rematched. Salesforce's current Identity Resolution documentation explicitly states that preprocessing identifies records that are new or changed and sends only those records into Identity Resolution.
Salesforce determines whether a record changed by converting source records to hash values and comparing those hashes with the values from previous Identity Resolution runs. Records whose current hash indicates no change can be excluded from unnecessary reprocessing.
This behavior has direct credit-consumption implications. Salesforce explains that preprocessing prevents credits from being consumed by repeatedly running Identity Resolution over records that have already been unified in their current form. Even when a source performs a full refresh, preprocessing can protect unchanged records from unnecessary identity-processing work.
Option A is incomplete because an existing record that has been modified must also be reprocessed. Option B incorrectly assumes that every subsequent run rematches the entire source population.
The uploaded master correctly keys C.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Identity Resolution # Incremental Processing and Credit Consumption.
NEW QUESTION # 49
A Marketing Cloud Next Consultant wants to automate opt-in consent creation when new contacts are added to Salesforce.
What should the consultant use to ensure consent records are created and updated reliably?
Answer: C
Explanation:
C is the currently supportable answer among these choices. The uploaded bank originally keys A.
However, Salesforce's August 2026 consent guidance explicitly states that the legacy MessagingConsent and MessagingConsentV2 Flow actions should not be used for Marketing Cloud Next consent because they can fall out of synchronization with the Marketing Cloud Next consent layer. Salesforce directs implementations to use Create Consent/Consent Request instead.
Create Consent is supported in Data 360-triggered flows and updates the applicable contact point for a specified channel and communication subscription. Direct writes into the underlying consent DLO/DMO, as described in B, bypass the supported consent service and aren't reliable for sending-time consent evaluation.
For a CRM-originated Contact creation, Salesforce's preferred current architecture is actually an Automation Event-Triggered Flow based on the Contact change plus Create Consent . That exact combination isn't offered. Of A-C, C is therefore the only option that uses the supported consent-writing mechanism.
Study Guide Reference: Consent # Creating and Updating Consent # Create Consent/Consent Request.
NEW QUESTION # 50
Northern Trail Outfitters needs to update an individual's consent in near real time when a customer submits a web form.
Which solution should the Marketing Cloud Next Consultant recommend?
Answer: A
Explanation:
An Automation Event-Triggered Flow with the supported consent action is the correct architecture for processing consent immediately after a Marketing Cloud Next form submission. Salesforce specifically states that Create Consent can be used in event-triggered flows to automate consent updates based on events such as a form submission .
Current Salesforce documentation commonly labels the Flow element Create Consent , while some recent support guidance still refers to the underlying operation as Consent Request . The functional purpose is the same in this question: update the contact point's OPT_IN or OPT_OUT state for the appropriate channel and communication subscription through the supported Marketing Cloud Next consent service.
Options B and C are incorrect because directly mapping ingestion or transformation results into the Communication Subscription Consent DMO isn't the supported consent-writing path. Salesforce's August 17,
2026 guidance specifically states that landing-page form consent should be paired with an Automation Event- Triggered Flow and Consent Request action.
The uploaded master correctly keys A.
Study Guide Reference: Consent # Automating Consent # Form Submission, Automation Event- Triggered Flow, and Create Consent/Consent Request.
NEW QUESTION # 51
A Marketing Cloud Next Consultant wants to automate a weekly promotional email to a targeted audience of high-value customers identified within Data 360.
Which flow type and configuration should the consultant select?
Answer: A
Explanation:
An Audience Flow with Segment as the audience source is specifically designed for scheduled marketing communications to populations defined in Data 360. Salesforce states that an Audience Flow runs on a schedule and can use a Segment, List, Record, or Campaign as its audience source. When Segment is selected, the resulting flow targets members of a published Data 360 segment.
Because NTO already has a defined population of high-value customers, the consultant should use that segment rather than manually retrieving DMO records. The weekly schedule can then control campaign execution, while the segment determines membership based on current customer profile and behavioral attributes.
A generic schedule-triggered flow with Get Records bypasses the purpose-built Marketing Cloud Next segment-flow architecture. A Data 360-triggered flow is intended primarily to react to Data 360 record changes, not to execute a recurring weekly campaign against an audience.
Salesforce also recommends ensuring that the underlying segment is published and considering its publication schedule before the flow runs. The uploaded source keys B.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Audience Flows # Segment Audience Source and Scheduling.
NEW QUESTION # 52
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