クライアントは、MC-Con-201有用なテストガイドを購入する前後に、オンラインカスタマーサービスに相談できます。私たちはクライアントに思いやりのある顧客サービスを提供します。クライアントがMC-Con-201学習教材を購入する前に、オンラインカスタマーサービスの担当者に製品のバージョンと価格について相談し、購入するかどうかを決定できます。クライアントはMC-Con-201学習ツールを購入した後、オンラインカスタマーサービスの使用方法と使用プロセス中に発生する問題について相談できます。最短時間でMC-Con-201試験に合格するお手伝いをします。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics & Performance Insights | 8% | - Marketing insights
|
| Topic 2: Campaign Design, Flow Orchestration & Content | 30% | - Personalization
|
| Topic 3: Data Modeling, Identity Resolution & Segmentation | 25% | - CRM data ingestion and activation
|
| Topic 4: Consent | 13% | - Consent banners
|
| Topic 5: Platform Setup & Governance | 13% | - Marketing Cloud Next environment setup
|
| Topic 6: Agentforce & AI Innovation | 11% | - Predictive AI
|
当社の製品で使用されているテストソフトウェアは、WindowsのMC-Con-201学習教材に最適です。これにより、コンピューターで最高の学習スタイルを楽しむことができます。また、MC-Con-201認定ガイドでは、最新の科学技術を使用して、権威ある研究材料ネットワーク学習の新しい要件を満たしています。従来の学習方法とは異なり、MC-Con-201学習教材の大きな利点は、ユーザーが学習計画を柔軟に調整できることです。 MC-Con-201テスト問題の新しいデザインが、ユーザーの学習をより面白く、カラフルにすることを願っています。
質問 # 22
Northern Trail Outfitters (NTO) wants to send a personalized SMS notification to every passenger on a flight whenever the flight itinerary changes. The notification will be initiated by an external system using a single API request.
Which flow type should NTO use to start the flow?
正解：B
解説：
An On-Demand Flow is designed specifically for marketing interactions initiated externally through an API request. Salesforce allows external applications to invoke an On-Demand Flow through the REST API using the Flow invocable-action endpoint and provide required runtime inputs with that request.
This architecture fits an external airline operational system that already knows when an itinerary has changed and which passengers are affected. The external service can initiate the flow immediately instead of waiting for a segment refresh or a scheduled marketing process. The flow can then execute personalized SMS messaging using the passenger and itinerary information supplied through its runtime context.
A dynamic segment is inefficient for an event where the initiating system already knows the affected audience and requires immediate action. Segment publication introduces additional processing and isn't necessary merely to reconstruct the passenger set. Option C uses generic Flow terminology but doesn't identify the purpose-built API-triggerable Marketing Cloud Next flow type.
The uploaded master bank identifies A. Salesforce explicitly states that On-Demand Flows can be invoked via REST API for immediate SMS interactions initiated by external customer activity.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # On-Demand Flows # REST API-Triggered Messaging.
質問 # 23
Northern Trail Outfitters needs to personalize an email with:
* The recipient's assigned sales rep's name (stored in Agentforce Sales)
* A unique, time-sensitive promo code (managed in Marketing Cloud Next) Which data sources should the company use for each?
正解：C
解説：
Marketing Cloud Next supports both Salesforce Record and Offer as native email personalization data sources. Salesforce Record is designed to surface current business information from Salesforce objects.
Salesforce specifically notes that marketers can add a Salesforce Record data source and reference Salesforce object fields directly in email content.
That makes it appropriate for a recipient's assigned sales representative when the representative relationship is maintained in Salesforce/Agentforce Sales data.
The Offer data provider is specifically designed for promotions. Salesforce states that marketers can add an Offer as an email data source and use merge fields for values such as the offer name, description, or coupon code . It also supports multiple offer providers and conditional targeting based on customer attributes.
An Apex Class would be unnecessary custom logic for retrieving an ordinary Salesforce business attribute. A Data Graph also isn't the natural mechanism for a Marketing Cloud Next-managed, time-sensitive offer code when the purpose-built Offer data source exists.
The uploaded bank identifies A.
Study Guide Reference: Campaign Design, Flow Orchestration and Content # Personalization Data Sources # Salesforce Record and Offer.
質問 # 24
In addition to Marketing Cloud Admin, which permission set is required to enable Marketing Performance in Marketing Cloud Next?
正解：B
解説：
C is the current verified answer. Salesforce's current Marketing Performance Intelligence setup documentation states that turning on the capability requires Marketing Cloud Admin AND Data Cloud Architect permission sets. In the terminology used by this question, Data Cloud Architect corresponds to Data 360 Architect .
The Tableau Next Included App Business User permission set is important, but Salesforce distinguishes its purpose: it is required for users who need to view Marketing Performance Intelligence dashboards and embedded assets , rather than being the complementary administrative permission required to enable the feature itself. Salesforce's Tableau Next documentation confirms that this permission permits viewing included-app assets.
Data 360 Activation Manager focuses on activation operations and doesn't provide the architectural setup permissions required for Marketing Performance Intelligence.
The uploaded master bank keys this item as B. That key conflates dashboard-viewing permission with setup permission. Under current Salesforce documentation, the question's wording- "required to enable Marketing Performance" -makes C the correct answer.
Study Guide Reference: Analytics and Performance Insights # Marketing Performance Intelligence # Setup Permissions.
質問 # 25
Northern Trail Outfitters wants to configure its SMS channel so that when a customer replies to a promotional text with a custom question, the interaction is automatically handed off to an AI agent for ongoing support.
Which configuration should a Marketing Cloud Next Consultant implement to handle this inbound response?
正解：A
解説：
An Omni-Channel flow is the appropriate mechanism because inbound customer conversations on Salesforce messaging channels are represented by Messaging Sessions and must be routed through supported messaging- routing infrastructure. Salesforce documents that an inbound Omni-Channel flow can use the Route Work action with the Service Channel set to Messaging and the routing destination set to an Agentforce Service Agent. This provides the supported handoff from the messaging channel to the autonomous agent while preserving the conversation context.
A record-triggered flow is not the standard routing mechanism for assigning an active messaging conversation to an Agentforce Service Agent. Although record-triggered flows can automate changes to Salesforce records, they don't provide the specialized work-routing semantics required for messaging sessions. Assignment rules similarly aren't designed for conversational Omni-Channel routing.
Therefore, option A correctly implements the inbound routing architecture. The uploaded master bank also identifies A as the keyed response.
Study Guide Reference: Agentforce and AI Innovation # Conversational Marketing Fundamentals for Marketing Cloud Next # Agentforce messaging and channel orchestration.
質問 # 26
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?
正解：A
解説：
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.
質問 # 27
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