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| Section | Weight | Objectives |
|---|---|---|
| Agentforce & AI Innovation | 11% | - Marketing agents
|
| Campaign Design, Flow Orchestration & Content | 30% | - Landing pages
|
| Consent | 13% | - Consent collection
|
| Analytics & Performance Insights | 8% | - Reporting and analytics
|
| Data Modeling, Identity Resolution & Segmentation | 25% | - Identity Resolution
|
| Platform Setup & Governance | 13% | - Business Units and governance
|
我々ShikenPASSのSalesforceのMC-Con-201試験のソフトウェアを使用し、あなたはSalesforceのMC-Con-201試験に合格することができます。あなたが本当にそれぞれの質問を把握するように、あなたが適切なトレーニングと詳細な分析を得ることができますから。購入してから一年間のSalesforceのMC-Con-201ソフトの無料更新はあなたにいつも最新の試験の知識を持たせることができます。だから、こんなに保障がある復習ソフトはあなたにSalesforceのMC-Con-201試験を心配させていません。
質問 # 75
A company stores localized promo codes within a custom marketing object. The company wants to dynamically populate the correct promo code into a newsletter based on the recipient's [Region_Code].
What is the most effective way to retrieve and render this data within the email?
正解：A
解説：
Handlebars QueryFirst is the current Marketing Cloud Next-native solution for retrieving a single matching record dynamically from a marketing object. Salesforce introduced this helper in the Summer '26 Marketing Cloud Next release. The function can query CRM objects, marketing objects, or Data Graphs and return the first record matching defined criteria.
For this scenario, the marketing object contains multiple localized promo codes. The email needs only the promo code whose region matches the recipient's Region_Code. QueryFirst can specify the marketing object, desired promo-code field, and a where condition using the recipient's region as a parameter. The returned object can then be referenced directly in Handlebars personalization.
AMPscript is associated primarily with Marketing Cloud Engagement and isn't the preferred Marketing Cloud Next content-personalization language for this use case. Standard cross-object merge-field notation also doesn't dynamically query an unrelated marketing-object record based on arbitrary matching criteria.
The uploaded bank correctly keys B. Salesforce's developer documentation explicitly states that QueryFirst retrieves the first matching record from marketing objects, Sales Cloud, or Data Graphs.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Handlebars Personalization # QueryFirst and Marketing Objects.
質問 # 76
A car dealership manages both retail consumers (B2C) and business fleet customers (B2B). Customer data for each audience is ingested through separate data streams in a single data space and mapped to the Individual Data Model Object (DMO). The dealership wants to create separate identity resolution rulesets for B2B and B2C customers so that each audience can be unified independently for segmentation and activation.
Which approach should the Marketing Cloud Next Consultant recommend to ensure B2B and B2C customers are processed by separate identity resolution rulesets?
正解：B
質問 # 77
A Marketing Cloud Next Consultant needs to ingest tabular data for marketing use cases.
Which feature should the consultant use?
正解：A
解説：
A Marketing Object is the Marketing Cloud Next-native structure for storing tabular marketing data used in campaigns, personalization, briefs, and flows. Salesforce allows marketers to create a Marketing Object directly from a CSV upload; the resulting object contains the columns defined in the source file, and Marketing Cloud Next infers the appropriate field types during import.
This makes Marketing Objects suitable for datasets such as promotional codes, localized content, product reference information, campaign-specific lookup tables, or other relatively lightweight structured data that doesn't need to be harmonized into the full Data 360 customer model.
An Actionable List is intended to represent a fixed audience of known Leads or Contacts. It isn't a general- purpose tabular data store. A Data 360 file-upload data stream is appropriate when data must be ingested and mapped into Data 360 DMOs, but the scenario asks specifically for tabular data used for marketing purposes, where Marketing Objects provide the more direct Marketing Cloud Next capability.
The uploaded question bank identifies C.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Marketing Objects # Importing and Managing Tabular Marketing Data.
質問 # 78
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?
正解：A
解説：
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.
質問 # 79
A Marketing Cloud Next Consultant needs to suppress subscribers from an upcoming audience flow who have a low probability of opening or clicking email content.
Which Einstein feature should the consultant use?
正解：B
解説：
Einstein Engagement Scoring is designed to predict the likelihood that an individual subscriber will engage with future email communications. Salesforce states that the model predicts email opens and clicks, subscriber retention, web conversion, and overall engagement for individual consumer contacts.
Those predicted likelihood values can be used to identify customers with low engagement propensity. A marketer can therefore segment, filter, suppress, or branch customers according to their predicted open or click probability before an audience flow sends a message.
Send Time Optimization solves a different problem. STO assumes that a recipient is going to receive the communication and predicts when that person is most likely to engage. It doesn't primarily determine whether a low-propensity customer should be excluded. Messaging Insights isn't the predictive subscriber-level engagement scoring capability described in this requirement.
Salesforce also stores the output in the Email Engagement Score DMO , which supports reporting and audience analysis based on open, click, and subscription likelihood.
The uploaded master bank correctly keys A. Salesforce's current Einstein Engagement Scoring model card confirms that it predicts opens, clicks, retention, and overall engagement.
Study Guide Reference: Agentforce and AI Innovation # Einstein Engagement Scoring # Predictive Audience Optimization.
質問 # 80
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