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[General] Plat-Arch-204 Training Material - Most Plat-Arch-204 Reliable Questions

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【General】 Plat-Arch-204 Training Material - Most Plat-Arch-204 Reliable Questions

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Salesforce Certified Platform Integration Architect Sample Questions (Q86-Q91):NEW QUESTION # 86
Service agents at Northern Trail Outfitters use Salesforce to manage cases and B2C Commerce for ordering. Which integration solution should an architect recommend in order for the service agents to see order history from a business-to-consumer (B2C) Commerce system?
  • A. REST API offered by Commerce Platforms
  • B. MuleSoft Anypoint Platform
  • C. Salesforce B2C Commerce to Service Cloud Connector
Answer: C
Explanation:
For a unified service experience between Salesforce Service Cloud and B2C Commerce (formerly Demandware), Salesforce provides a purpose-built, cross-cloud solution known as the Salesforce B2C Commerce to Service Cloud Connector.
This connector is part of the Salesforce B2C Solution Architecture and is designed to provide "out-of-the-box" synchronization of data between the two platforms. By implementing this connector, service agents gain several high-value capabilities within the Service Console:
Customer Profile Sync: Ensures that customer data (name, address, etc.) is consistent across both systems.
Order History View: Allows agents to see real-time order data from the Commerce system directly within the Case record page.
Order on Behalf Of: Enables agents to place orders for customers without leaving Salesforce.
While you could build a custom integration using the Commerce REST API (Option B) or MuleSoft (Option C), these would require significant development, testing, and maintenance effort. The Salesforce B2C Connector is the recommended "path of least resistance" because it leverages Salesforce's own pre-built logic for cross-cloud interoperability, reducing technical debt and time-to-value. For an architect, choosing the standard1 connector ensures better supportability and future-proofing 2as Salesforce continues to enhance its multi-cloud features.

NEW QUESTION # 87
Northern Trail Outfitters needs to make synchronous callouts to "available-to-promise" services to query product availability and reserve inventory during the customer checkout process. What should an integration architect consider when building a scalable integration solution?
  • A. The maximum query cursors open per user on the service
  • B. How many concurrent service calls are being placed
  • C. The number of batch jobs that can run concurrently
Answer: A

NEW QUESTION # 88
An enterprise architect has requested the Salesforce integration architect to review the following (see diagram and description) and provide recommendations after carefully considering all constraints of the enterprise systems and Salesforce Platform limits.
About 3,000 phone sales agents use a Salesforce Lightning user interface (UI) concurrently to check eligibility of a customer for a qualifying offer.
There are multiple eligibility systems that provide this service and are hosted externally.
However, their current response times could take up to 90 seconds to process and return (there are discussions to reduce the response times in the future, but no commitments are made).
These eligibility systems can be accessed through APIs orchestrated via ESB (MuleSoft).
All requests from Salesforce will have to traverse through the customer's API Gateway layer, and the API Gateway imposes a constraint of timing out requests after 9 seconds.

Which recommendation should the integration architect make?
  • A. Recommend synchronous Apex callouts from Lightning UI to External Systems via Mule and implement polling on an API Gateway timeout.
  • B. Use Continuation callouts to make the eligibility check request from Salesforce Lightning UI at page load.
  • C. Create a platform event in Salesforce via Remote Call-In and use the empAPI in the Lightning UI to serve 3,000 concurrent users when responses are received by Mule.
Answer: C
Explanation:
The primary architectural challenge in this scenario is the massive discrepancy between the backend response time (up to 90 seconds) and the API Gateway timeout constraint (9 seconds). In any synchronous integration pattern, the connection must remain open across the entire path; if the API Gateway closes the connection at 9 seconds, a standard Salesforce "Request-Reply" callout will fail long before the 90-second eligibility check is complete.
Option A is non-viable because synchronous polling at a high scale (3,000 concurrent users) would likely hit Salesforce concurrent request limits and place an immense, unnecessary load on the API Gateway. Option B, using Continuation, is designed to handle long-running callouts (up to 120 seconds) without blocking Salesforce threads, but it still requires the external connection path to remain open. It does not bypass the 9-second timeout imposed by the customer's API Gateway.
The optimal recommendation is Option C, which implements an Asynchronous Request-Reply pattern using Platform Events and the empAPI.12 Request Phase: The Salesforce UI initiates the request. To bypass the 9-second gateway timeout, the ESB (MuleSoft) should be configured to receive the request3 and immediately return an acknowledgment (e.g.,4 HTTP 202 Accepted). This allows the initial Salesforce callout to complete successfully within the 9-second window.56 Processing Phase: MuleSoft then proceeds with the long-running (up to 90 seconds) call to the external eligibility systems.78 Callback Phase (Remote Call-In)9: Once the eligibility result is received, MuleSoft calls back into Salesforce via the REST API to publish a Platform Event containing the result.10 UI Update (empA11PI): The 3,000 sales agents' browsers, having subscribed to the event channel using the empAPI (Lightning's built-in library for streaming events), receive the notification in real-time. The UI then updates to display the "Display Response" step.
This event-driven architecture effectively "insulates" Salesforce and the API Gateway from the backend's high latency, ensures scalability for 3,000 concurrent users, and provides a seamless, real-time user experience without hitting governor limits or timeout constraints.

NEW QUESTION # 89
A customer's enterprise architect has identified requirements around caching, queuing, error handling, alerts, retries, event handling, etc. Which recommendation should the integration architect make?
  • A. Event handling in a publish/subscribe scenario; the middleware can be used to route requests or messages to active data-event subscribers from active data-event publishers.
  • B. Transform a Fire and Forget mechanism to Request and Reply, which should be handled by middleware tools (like ETL/ESB) to improve performance.
  • C. Message transformation and protocol translation should be done within Salesforce.
Answer: A
Explanation:
When an enterprise architect identifies complex infrastructure needs such as caching, queuing, and sophisticated event routing, it signals that a point-to-point integration architecture is insufficient. In such cases, the Integration Architect should recommend a Middleware-mediated architecture.
Middleware tools, such as an Enterprise Service Bus (ESB) or an iPaaS (Integration Platform as a Service), are specifically designed to fulfill these complex "Quality of Service" (QoS) requirements. In a publish/subscribe scenario, the middleware acts as the central orchestrator. It can receive a single "Fire and Forget" event from a publisher (like Salesforce) and then manage the technical complexities of routing that message to multiple active subscribers.
Middleware handles infrastructure-level tasks such as message queuing for offline systems, automatic retries with exponential backoff, and error handling with alerts-capabilities that are either unavailable or difficult to scale within Salesforce natively. Performing message transformation and protocol translation (e.g., SOAP to REST) within the middleware layer also protects Salesforce's Apex CPU limits. By leveraging middleware for these concerns, the architect ensures that Salesforce remains a performant engagement layer while the middleware provides the robust technical backbone for a resilient enterprise landscape.

NEW QUESTION # 90
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?
  • A. Call the HttpCalloutMock Implementation from the Apex REST API Clients.
  • B. Implement HttpCalloutMock to return responses per RAML specification.
  • C. Require the Apex REST API Clients to implement the HttpCalloutMock
Answer: B
Explanation:
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.

NEW QUESTION # 91
......
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