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Plat-Arch-204の実際のテストは、さまざまな分野の多くの専門家によって設計され、顧客のさまざまな状況を考慮し、顧客が時間を節約できるように実用的なPlat-Arch-204学習教材を設計しました。 学生であろうとオフィスワーカーであろうと、Plat-Arch-204試験の準備にすべての時間を費やすことはないと思います。専門知識の勉強、家事、子供の世話などに取り組んでいます。 簡素化された情報により、効率的に学習することができます。 そして、あなたは事前に本当の試験を感じたいですか？ Plat-Arch-204試験問題を購入するだけです！
質問 # 19
The director of customer service at Northern Trail Outfitters (NTO) wants to capture and trend specific business events that occur in Salesforce in real time. The metrics will be accessed in an ad-hoc manner using an external analytics system. The events include product exchanges, authorization clicks, subscription cancellations, and refund initiations via Cases. Which solution should meet these business requirements?
正解：A
解説：
To meet a requirement for real-time event capture that supports an external analytics system, the arc14hitect must choose a pattern that is scalable, decoupled, and reliable. Platform Events are the modern standard for this use case.
By using a Case Trigger to publish a specific Platform Event, NTO creates a highly decoupled Publish/Subscribe architecture. The external analytics system (or a middleware layer feeding it) acts as a subscriber to the event channel. This is superior to standard callouts or outbound messaging for several reasons:
Durability: Platform Events offer a 72-hour retention window. If the analytics system is momentarily offline, it can use the Replay ID to retrieve missed events.
Atomic Transactions: Triggers can be configured to publish events only after the database transaction successfully commits ("Publish After Commit"), ensuring the analytics system doesn't receive data for transactions that were eventually rolled back.
Event Volume: Platform Events are designed to handle much higher volumes of real-time messages than standard synchronous callouts.
Option A (Apex Callouts) is a point-to-point, synchronous pattern that would block Case processing and risk hitting "Concurrent Long-Running Request" limits. Option B (Outbound Messaging) is reliable but is limited to a single object per message and uses a rigid SOAP format that is less flexible for ad-hoc external analytics than the modern JSON/CometD/gRPC structures used by the event bus. By implementing Option C, the architect ensures that every specific business milestone (refund, exchange, cancellation) is broadcasted immediately, providing the customer service director with the accurate, real-time visibility required for trending and metrics.
質問 # 20
Northern Trail Outfitters (NTO) wants to improve the quality of callouts from Salesforce to its REST APIs. For this purpose, NTO will require all API Clients/consumers to adhere to REST API Markup Language (RAML) specifications that include the field-level definition of every API request and response Payload. The RAML specs serve as interface contracts that Apex REST API Clients can rely on. Which design specification should the integration architect include in the integration architecture to ensure that Apex REST API Clients' unit tests confirm Adherence to the RAML specs?
正解：A
解説：
In a contract-first integration strategy using RAML (RESTful API Modeling Language), the specification defines the exact structure of requests and responses. Because Salesforce unit tests cannot perform actual network callouts, the platform requires d1evelopers to use the HttpCalloutMock interface to simulate responses.
To ensure that the integration code strictly adheres to the established RAML contract, the integration architect must mandate that the HttpCalloutMock implementation returns responses that mirror the RAML specification. This means the mock must include all required fields, correct data types, and the expected HTTP status codes (e.g., 200 OK, 201 Created) as defined in the contract. By doing this, the unit tests verify that the Apex client code can successfully parse and process the specific JSON or XML payloads defined in the RAML spec.
Option A and B are technically imprecise. The Apex client does not "implement" the mock; rather, the test class provides a separate mock implementation to the runtime via Test.setMock(). The value of the integration architecture lies in the content of that mock. If the mock is designed to return contract-compliant data, then any change to the RAML that breaks the Apex code's ability to process it will be caught immediately during the testing phase. This "Mock-as-a-Contract" approach provides a safety net, ensuring that Salesforce remains compatible with external services even as those services evolve, provided the RAML is kept up to date.
質問 # 21
A company needs to send data from Salesforce to a homegrown system behind a corporate firewall. The data is pushed one way, doesn't need to be real-time, and averages 2 million records per day. What should an integration architect consider?
正解：A
解説：
With a volume of 2 million records per day, this integration exceeds the practical limits of standard near-real-time patterns like Outbound Messaging or synchronous Apex Callouts. Sending 2 million individual REST requests would likely exhaust the daily API limit and could cause significant performance degradation in Salesforce due to transaction overhead.
An Integration Architect must recommend an Asynchronous Batch Data Synchronization pattern, typically facilitated by a third-party ETL/Middleware tool (e.g., MuleSoft, Informatica, or Boomi). Staging the records off-platform is essential for several reasons:
Throttling: The homegrown system behind a firewall may not be able to handle a massive, sudden burst of 2 million records. A middleware tool can ingest the data from Salesforce and "drip-feed" it into the target system at an acceptable rate.
Error Handling and Retries: Middleware provides sophisticated persistence and "Dead Letter Queues" to ensure that if the homegrown system goes offline, no data is lost.
API Efficiency: The middleware can use the Salesforce Bulk API 2.0 to extract the data in large chunks, which is significantly more efficient than individual REST calls and consumes far fewer API limits.
Option A is a valid concern but is a symptom of the wrong choice of tool (REST). Option B describes an inbound integration to Salesforce, whereas the requirement is outbound. By utilizing a third-party tool to stage and manage the 2 million record flow, the architect ensures that the integration is scalable, respects the corporate firewall constraints (via a secure agent or VPN), and maintains the performance of the Salesforce production environment.
質問 # 22
Universal Containers (UC) has a legacy homegrown application that stores customer data. Sales representatives edit contact records in Salesforce. UC requirements: 1. Salesforce updates should update the homegrown application. 2. Synchronization should be event-driven. 3. Integration should be asynchronous. Which option should an architect recommend?
正解：B
解説：
For a requirement focused on synchronizing record updates from Salesforce to an external system in an event-driven and asynchronous manner, Change Data Capture (CDC) is the architecturally preferred solution over custom Platform Events.
CDC is designed specifically for data replication and synchronization. It automatically publishes change events for Salesforce records (Create, Update, Delete, and Undelete) to the event bus. Unlike Platform Events, which require manual publishing via Apex triggers or Flows, CDC is a low-code feature that requires only a simple activation for the Contact object in Setup. The external homegrown application can then act as a CometD subscriber, listening to the specialized /data/ContactChangeEvent channel to receive near real-time updates without the need for constant polling. Furthermore, CDC provides ordered, replayable events and an extended 72-hour retention window, ensuring that the homegrown application can recover missed updates using a Replay ID if it momentarily loses connection. This native broadcasting capability ensures data integrity across systems while breaking the tight coupling between Salesforce and the legacy application.
質問 # 23
A company needs to integrate a legacy on-premise application that can only support SOAP API. After the integration architect evaluates the requirements and volume, they determine that the Fire and Forget integration pattern will be most appropriate for sending data from Salesforce to the external application and getting response back in a strongly-typed format.
Which integration capabilities should be used to integrate the two systems?
正解：B
解説：
When integrating with a legacy SOAP-only application using a Fire and Forget pattern, Salesforce Outbound Messaging is the native, declarative choice.
Outbound Messaging is a platform feature that sends a SOAP message to a designated endpoint when specific criteria are met. It is inherently asynchronous and provides built-in reliability; if the legacy system is offline, Salesforce will automatically retry the delivery for up to 24 hours. This perfectly fits the "Fire and Forget" requirement.
For the strongly-typed response back (Remote Call-In), the Enterprise WSDL is the correct recommendation.1415 Enterprise WSDL: This is a strongly-typed WSDL generated specifically for one org's metadata. It includes specific references to16 custom objects and fields, ensu17ring that the legacy system can communicate with Salesforce using a rigid, predictable data structure.
Partner WSDL (Option C): This is a loosely-typed WSDL designed for developers building tools that must work across many different orgs; it is not ideal for an internal, strongly-typed legacy integration.
While Platform Events (Option B) are a modern alternative, they typically use REST or Streaming APIs, making them a less natural fit for an application that "can only support SOAP". By combining Outbound Messaging and the Enterprise WSDL, the architect provides a robust, SOAP-native solution that satisfies the business's technical constraints and reliability requirements.
質問 # 24
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この分野には多くの専門家や教授がいます。すべての人々の要求を満たすために、当社のこれらの優秀な専門家および教授は昼夜を問わず働いています。彼らはすべての人々のために当社から最高のPlat-Arch-204認定トレーニング教材を設計するために最善を尽くしました。学習資料により、すべての人がより効率的な方法でPlat-Arch-204試験の準備をすることができます。 Plat-Arch-204学習教材がすべての人々に適し、学生、労働者、主婦などすべての人々の要求を満たすことを保証できます。
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