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| Section | Weight | Objectives |
|---|---|---|
| Consent | 13% | - Consent management concepts
|
| Analytics & Performance Insights | 8% | - Marketing insights
|
| Campaign Design, Flow Orchestration & Content | 30% | - Messaging data sources
|
| Platform Setup & Governance | 13% | - Business Units and governance
|
| Agentforce & AI Innovation | 11% | - Predictive AI
|
| Data Modeling, Identity Resolution & Segmentation | 25% | - Data 360 data object concepts
|
我們KaoGuTi的 Salesforce的MC-Con-201的考題資料是按照相同的教學大綱來來研究的，同時也不斷升級我們的培訓材料，所以我們的考試培訓資料包括試題及答案，和實際的考試相似度非常高，所以形成了我們KaoGuTi的通過率也是非常的高，這也是不可否認的事實， 由此知道KaoGuTi Salesforce的MC-Con-201考試培訓資料對考生的幫助，而且我們的價格絕對合理，適合每位IT認證的考生。
問題 #92
Northern Trail Outfitters wants to enrich its customer profiles by combining CRM Contact data with anonymous web browsing activity captured via the web tracking embed code. A Marketing Cloud Next Consultant has already set up the Contact data stream mapped to the Individual data model object (DMO) and confirmed that web tracking events are flowing into the Website Engagement DMO.
What must the consultant configure in Identity Resolution to link anonymous visitor data to known Contact profiles?
答案：C
解題說明：
Salesforce provides the Device to Known Identity Resolution rule specifically to associate anonymous tracked visitors with known Unified Individual profiles.
Current Marketing Cloud Next setup documentation states that an Individual Identity Resolution ruleset should include an Identity Match DMO match criterion where Identity Match Type is matched exactly to device-to-known. Salesforce explains that this recommended rule attributes web-tracking activity to the correct Unified Individual.
This architecture exists because anonymous website engagement initially contains a device or visitor identity rather than ordinary CRM identity attributes. Once the visitor becomes identifiable-for example, through a recognized interaction-the Identity Match relationship enables Data 360 to stitch that visitor identity to the known Individual.
Option A incorrectly proposes manually altering identity relationships with Flow. Option B assumes Website Engagement should be directly matched to Individual using email, which bypasses the specialized identity- stitching mechanism Salesforce provides.
The uploaded master bank identifies C.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Identity Resolution # Identity Match DMO and Device-to-Known Matching.
問題 #93
The marketing team at Northern Trail Outfitters wants to create marketing objects to store campaign-related data used for content personalization across different campaigns. Before designing the data model, the team needs to understand the available field types for marketing objects.
Which data types are supported when creating marketing objects in Marketing Cloud Next?
答案：B
解題說明：
Marketing Cloud Next currently supports three field data types for Marketing Objects: Text, Number, and Decimal .
Salesforce defines Text as a string value of up to 255 characters. Number stores positive or negative integers with up to 18 digits. Decimal stores positive or negative decimal numbers with up to 18 digits. These deliberately constrained field types make Marketing Objects suitable for lightweight campaign, lookup, promotional, localization, and personalization datasets.
Option B is incorrect because Formula isn't listed as a Marketing Object field type. Calculated logic can be handled through other platform capabilities, but formula isn't one of the three selectable types when defining a Marketing Object field.
Option C uses familiar programming terminology-String, Integer, Boolean-but those aren't the Marketing Cloud Next field labels and Boolean isn't currently one of the supported Marketing Object field types documented by Salesforce.
The uploaded master bank identifies option A. This item has direct current-documentation support:
Salesforce's Marketing Object Data Types and Resource Allocations reference explicitly lists only Text, Number, and Decimal .
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Marketing Objects # Supported Data Types and Resource Allocations.
問題 #94
A retailer is planning their first "New Product Promotion" email campaign in Marketing Cloud Next. Their marketing manager wants to send to everyone in the CRM database who has not explicitly asked to be removed.
What will happen when they launch the campaign?
答案：C
解題說明：
Marketing Cloud Next uses an explicit opt-in consent model for promotional marketing. Absence of an opt- out doesn't mean that an individual is eligible to receive marketing messages. Salesforce explicitly states that a Prospect, Lead, or Contact without a consent value is considered opted out by default for marketing channels and communication subscriptions.
Therefore, recipients must have valid affirmative consent associated with the appropriate contact point, channel, and communication subscription. If the "New Product Promotion" campaign uses its own communication subscription, customers who lack the necessary OPT_IN state are suppressed rather than treated as implicitly eligible.
Option A incorrectly assumes an opt-out-only consent model. Option C makes the same incorrect inference:
the absence of an OPT_OUT record isn't equivalent to affirmative permission.
This distinction is critical during initial implementation because existing CRM records aren't automatically opted in. Salesforce recommends importing or otherwise establishing valid consent before promotional messaging begins.
The source bank correctly identifies B. Salesforce's July 2026 documentation explicitly states that consent isn't default opt-in and that promotional messages are rejected when the recipient lacks an affirmative opt-in.
Study Guide Reference: Consent # Consent Validation # Explicit Opt-In and Default Consent Status.
問題 #95
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?
答案：A
解題說明：
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.
問題 #96
Northern Trail Outfitters (NTO) wants to launch its first Marketing Cloud Next campaign. NTO wants to leverage its robust data to create a highly targeted, personalized experience.
Which strategy should NTO take to build its first Data Graph?
答案：A
解題說明：
The source bank recommends starting with a single lean Data Graph and expanding it as additional campaign requirements emerge . This approach avoids building unnecessary relationships and processing large datasets before an actual personalization use case requires them.
Current Salesforce guidance supports the underlying principle. Marketing Cloud Next personalization begins with a Unified Individual-based Data Graph containing required identity/contact fields plus the additional objects and fields required for personalization . Salesforce also notes that Data Graph cost and processing depend on data-model structure, participating records, refresh frequency, and fields updated. It recommends filters so that only records required for the use case are included.
Option A risks creating an oversized graph based on speculative future requirements. Option B introduces two graphs immediately even though the first campaign doesn't establish a requirement for separate demographic and transactional graphs. In the standard Marketing Cloud Next configuration without additional Personalization capabilities, Salesforce also notes that only one default Data Graph is used at a time.
Therefore, begin with the smallest useful graph, validate the campaign, and expand the graph as real personalization requirements develop.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Data Graph Design # Use-Case-Driven Personalization Architecture.
問題 #97
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MC-Con-201考古題分享: https://www.kaoguti.com/MC-Con-201_exam-pdf.html