お客様の暇が少ないので、勉強する時間が少ないことを考えています。MC-Con-201試験資料は便利で、覚えやすいです。また、もう一つの特徴は時間を節約することです。つまり、MC-Con-201試験資料を短い時間で勉強すると、MC-Con-201試験を受けることができます。大切なのはMC-Con-201試験資料の的中率が高いです。
| Section | Weight | Objectives |
|---|---|---|
| Analytics & Performance Insights | 8% | - Reporting and analytics
|
| Data Modeling, Identity Resolution & Segmentation | 25% | - Identity Resolution
|
| Agentforce & AI Innovation | 11% | - Conversational messaging
|
| Platform Setup & Governance | 13% | - Business Units and governance
|
| Consent | 13% | - Consent collection
|
| Campaign Design, Flow Orchestration & Content | 30% | - Activation templates
|
周りの多くの人は全部Salesforce MC-Con-201資格認定試験にパースしまして、彼らはどのようにできましたか。今には、あなたにJapancertを教えさせていただけませんか。我々社サイトのSalesforce MC-Con-201問題庫は最新かつ最完備な勉強資料を有して、あなたに高品質のサービスを提供するのはMC-Con-201資格認定試験の成功にとって唯一の選択です。躊躇わなくて、Japancertサイト情報を早く了解して、あなたに試験合格を助かってあげますようにお願いいたします。
質問 # 58
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?
正解：A
解説：
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.
質問 # 59
A Marketing Cloud Next Consultant needs to give Northern Trail Outfitters a view of standard email key performance indicators (KPIs), such as open rate, click rate, and bounce rate across all email sends, filterable by date range and email message.
Which easy to use dashboard should the consultant use?
正解：B
解説：
The Email Engagement dashboard is the purpose-built dashboard for analyzing standard email performance metrics across Marketing Cloud Next sends. Salesforce's Marketing Performance Intelligence package includes preconfigured Email Engagement reports and dashboard components for common KPIs including Total Emails Sent, Open Rate, Click-Through Rate, Bounce Rate, and Opt-Out Rate.
The dashboard provides visualizations such as status bar graphs, time-based activity graphs, campaign click- engagement rankings, email-send-status views, and detailed activity tables. This allows marketers to evaluate messaging performance without having to construct a custom analytics model.
Campaign Performance is broader and focuses on campaign-level outcomes across associated marketing activity rather than being the specialized email KPI view requested here. Unified Engagement History serves another purpose: it surfaces marketing engagement alongside CRM records such as Contacts, Leads, Accounts, and Opportunities for sales and service users.
Therefore, B precisely matches the requirement for an easy-to-use, cross-send email analytics dashboard.
The uploaded master bank also identifies B. Salesforce's 2026 Marketing Cloud Next reporting documentation explicitly lists Open Rate, Click-Through Rate, Bounce Rate, and related metrics in the Email Engagement dashboard.
Study Guide Reference: Analytics and Performance Insights # Marketing Performance Intelligence # Email Engagement Dashboard.
質問 # 60
Northern Trail Outfitters wants to build a promotional email. The email must display a personalized subject line based on the recipient's preferred language (stored as a field on the Contact), and show a dynamically repeated list of recommended products from a related custom data model object (DMO). The audience is a segment of Unified Individuals.
Which combination of personalization features should the Marketing Cloud Next Consultant configure?
正解：A
解説：
This requirement combines conditional content selection with one-to-many repeated data , so two different Marketing Cloud Next personalization capabilities are appropriate.
For the subject line, a variation can be associated with targeting rules based on the customer's preferred language. Each language can therefore receive the appropriate localized subject-line version, with a fallback variation available when no targeting condition matches.
For the recommended-product list, a Repeater is the correct component. Salesforce states that repeaters display a series of items such as products, order updates, events, or promotions. The repeater can connect to a Data Graph attribute containing related records, and nested components can use merge fields from each repeated item.
Option C would only be correct if the Data Graph itself contained the fully localized subject text to merge directly. The scenario instead says the Contact stores the preferred language , which is decision criteria-not necessarily the translated subject line itself. Option B unnecessarily relies on AMPscript.
The uploaded source keys A. Salesforce documentation confirms both variation-based dynamic content and Data Graph-backed repeaters.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Dynamic Content # Variations, Targeting Rules, and Repeaters.
質問 # 61
Northern Trail Outfitters is creating an ongoing promotional email campaign targeting its entire global audience.
Which feature should a Marketing Cloud Next Consultant suggest to maximize individual engagement by achieving higher inbox placement?
正解：C
解説：
Einstein Send Time Optimization (STO) is designed to determine the best time to deliver an email to each individual based on predicted engagement behavior. Salesforce describes STO as a predictive AI capability that analyzes historical data and estimates the send time at which each subscriber is most likely to engage.
This makes it the appropriate feature when a global campaign needs individualized delivery timing rather than one fixed send time for the whole audience.
Engagement Frequency addresses a different optimization problem. It determines how frequently a customer should receive email and is primarily intended to reduce fatigue and unsubscribes caused by over-messaging.
Engagement Scoring predicts behaviors such as likelihood to open, click, or unsubscribe, allowing marketers to segment or branch audiences according to engagement propensity.
Neither of those features directly schedules each recipient's email for their predicted optimal engagement time.
The master question bank identifies A as the answer. Salesforce's STO model documentation likewise states that the feature maximizes email engagement by optimizing individual send times.
Study Guide Reference: Agentforce and AI Innovation # Einstein Predictive AI # Send Time Optimization.
質問 # 62
A Marketing Cloud Next Consultant needs to ingest tabular data for marketing use cases.
Which feature should the consultant use?
正解：C
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 # 63
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MC-Con-201認定資格試験問題集: https://www.japancert.com/MC-Con-201.html