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NEW QUESTION # 96
A company accepts payment requests 24/7. Once the company accepts a payment request, its service level agreement (SLA) r5equires it to make sure each payment request is processed by its Payment System. The co6mpany tracks payment requests using a globally unique identifier created at the Data Entry Point. The company's simplified flow is as shown in the diagram.
The company encounters intermittent update errors when two or more processes try to update the same Payment Request record at the same time.
Which recommendation should an integration architect make to improve the company's SLA and update conflict handling?
Answer: B
Explanation:
To fulfill the SLA of ensuring every payment is processed while simultaneously resolving the issue of intermittent update errors, the architect must introduce an orchestration layer capable of managing state and concurrency. In a high-volume payment environment, "Fire and Forget" messages (as seen in the provided diagram) can lead to race conditions if multiple threads attempt to update a single record simultaneously-a common challenge when scaling payment systems.
The recommendation to have Middleware coordinate request delivery and payment processing (Option C) transforms the architecture into a managed queueing system. By coordinating delivery, the middleware can act as a traffic controller, ensuring that requests are delivered sequentially or that appropriate locks are respected before an update is attempted. This orchestration allows the system to meet its SLA by implementing a "guaranteed delivery" pattern, where the middleware tracks the status of each payment and only "forgets" the message once the Payment System confirms successful processing.
Furthermore, the architect should emphasize idempotency by leveraging the globally unique identifier created at the Data Entry Point. The Payment System should be designed to use this identifier to check if a specific transaction has already been processed before attempting an update. This prevents duplicate entries and conflicting updates, even if the middleware retries a message due to a network timeout. While retries (Options A and B) are part of a resilient system, they do not solve the root cause of record contention; only the coordination and sequencing provided by the middleware can ensure a stable, conflict-free integration flow.78
NEW QUESTION # 97
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?
Answer: A
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 # 98
A company needs to integrate a legacy on-premise application that can only support SOAP API. The integration architect determines that the Fire and Forget integration pattern is most appropriate for sending data from Salesforce to the external application and getting a response back in a strongly-typed format. Which integration capabilities should be used?
Answer: B
Explanation:
For an outbound, declarative, Fire-and-Forget integration to a legacy SOAP-based system, Salesforce Outbound Messaging is the native tool of choice. Outbound Messaging sends an XML message to a designated endpoint when specific criteria are met. It is highly reliable as Salesforce will automatically retry the delivery for up to 24 hours if the target system is unavailable.
For the communication back from the legacy system to Salesforce, a strongly-typed SOAP API approach is required. The Enterprise WSDL is the correct recommendation here because it is a strongly-typed WSDL that is specific to the organization's unique data model (including custom objects and fields). Using the Enterprise WSDL allows the legacy system to communicate with Salesforce using specific data types, providing compile-time safety and reducing errors during the mapping process.
Option A is less efficient because Platform Events would likely require middleware to translate the event into the legacy system's SOAP format. Option B suggests the Partner WSDL, which is loosely-typed and designed for developers building tools that must work across many different Salesforce orgs. Since this is an internal integration for a specific company, the Enterprise WSDL provides a much more streamlined development experience with better data integrity. By combining Outbound Messaging (for fire-and-forget delivery) and the Enterprise WSDL (for the strongly-typed callback), the architect fulfills the technical requirements while minimizing custom code.
NEW QUESTION # 99
Northern Trail Outfitters has recently implemented middleware for orchestration of services across platforms. The Enterprise Resource Planning (ERP) system being used requires transactions be captured near real-time at a REST endpoint initiated in Salesforce when creating an Order object. Additionally, the Salesforce team has limited development resources and requires a low-code solution. Which option should fulfill the use case requirements?
Answer: A
Explanation:
To satisfy a requirement for near real-time REST updates with limited development resources, the architect should utilize Flow Builder. Flow Builder is Salesforce's primary low-code tool for automating complex business logic and outbound integrations.
The Remote Process Invocation-Fire and Forget pattern is the most efficient way to signal an external system (or middleware) that a record was created without blocking the user. Using a Record-Triggered Flow on the Order object, the architect can configure an Action (such as an External Service or a simple HTTP Callout) to send the order data to the middleware's REST endpoint.
Option A is slightly incorrect because creating a platform event is just one step in an event-driven flow; the "Fire and Forget" pattern more accurately describes the end-to-end intent. Option B (Change Data Capture) is a powerful tool, but it is considered a "pro-code" or high-configuration so12lution on the middleware side, requiring the middleware to manage Replay IDs and Bayeux subscriptions. Option C leverages the native strengths of Flow to fulfill the requirement declaratively, 13allowing the team to14 deliver a functional integration without writing Apex code while meeting the near-real-time performance expectations of the ERP.
NEW QUESTION # 100
Northern Trail Outfitters needs to make synchronous callouts "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?
Answer: B
Explanation:
In a Synchronous Request-Reply pattern, the user's experience is directly tied to the performance of the external service. For a mission-critical "Available-to-Promise" (ATP) service during checkout, the most vital scalability consideration is the typical and worst-case historical response times of the target system.
Salesforce imposes strict Governor Limits on synchronous callouts to protect platform health. Specifically, if an ATP callout takes longer than 120 seconds, the transaction will time out. More importantly, Salesforce limits the number of long-running requests (those lasting longer than 5 seconds). If multiple users are checking out simultaneously and the external inventory system begins to respond slowly (worst-case), those requests can quickly occupy all available slots in the concurrent request queue, leading to "Concurrent Request Limit Exceeded" errors for all users in the org.
By analyzing historical response times, the architect can determine if the service is reliable enough for a synchronous callout. If the worst-case response time frequently exceeds 5 seconds, the architect should consider a more resilient pattern, such as the Continuation pattern or an asynchronous approach, to prevent blocking the UI thread and hitting platform limits. Options A and C are irrelevant to synchronous checkout performance; query cursors relate to database state, and batch jobs are asynchronous background processes that do not impact real-time user checkout latency.
NEW QUESTION # 101
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