When designing an integration where the user does not require immediate confirmation, the architect is moving away from a synchronous "Request-Reply" pattern toward an asynchronous "Fire-and-Forget"16 or
"Batch Processing" pattern. In such scenarios, the most critical architectural constraint is defining the latency requirements.
Latency dictates the technical choice of the integration tool. If the fulfillment system needs the order within seconds of creation to begin a high-speed picking process, the architect might choose Salesforce Outbound Messaging or an Apex Callout triggered by a Platform Event. If the system only needs to process orders once an hour or overnight, a Batch ETL process is more appropriate. Understanding the acceptable delay (latency) ensures that the solution meets business expectations without over-engineering for real-time performance where it isn't required.
While Option B (Outbound Messaging) is a valid technical capability, it is a specific solution rather than a high-level "system constraint question" that drives the initial design phase. Option C (Address Validation) is a functional requirement regarding data integrity, but it does not define the architectural framework of the integration as effectively as latency does. By identifying the latency threshold, the architect can determine if the integration should be near real-time, hourly, or daily, which in turn influences how the system handles error recovery, retries, and transaction volumes.

When designing integrations that specifically involve Chatter, social collaboration, or Experience Cloud sites, the Connect REST API (formerly known as the Chatter REST API) is the architecturally recommended choice. While the standard REST API is optimized for CRUD operations on data records, the Connect REST API is specifically designed to handle the complex, nested structures of social feeds, including posts, comments, hashtags, and mentions.
The Connect REST API provides a specialized resource for feed elements that simplifies the process of identifying specific social markers like hashtags. In this use case, the mobile app or a middleware service can subscribe to or query the feed. The Connect REST API returns structured data where hashtags are identified as distinct message segments, making it trivial for an application logic to detect the #thanksNTO tag and trigger a subsequent call to the Twitter API.
From an architectural standpoint, using the Connect REST API offers several advantages over the standard REST API or Streaming API for this requirement:
* Efficiency: Connect REST API responses are structured specifically for presentation in mobile applications, providing only the relevant social metadata and localized content needed for the feed.
* Feature Richness: It provides native support for social actions such as liking, sharing, and following, which are often required alongside feed monitoring.
* Scalability: It is designed to handle the high-volume, real-time nature of social interactions within Experience Cloud and mobile ecosystems.
While the Streaming API (Option B) can notify an application of record changes, it does not provide the rich, formatted social context that the Connect REST API delivers. The standard REST API (Option A) could technically access FeedItem records, but it would require significant custom parsing logic to identify hashtags within the raw body text, whereas the Connect REST API handles this segmenting natively. Therefore, for building custom mobile experiences that interact with Chatter data, the Connect REST API is the superior solution.

An Integration Architect's primary responsibility when evaluating a landscape for a new Salesforce implementation is to identify the system of record for each business process and determine which legacy systems will be replaced by Salesforce. In this scenario, the customer is implementing Salesforce specifically to support case management.
According to the provided landscape diagram, the Case Management System currently exists as a standalone entity. Since Salesforce Service Cloud provides native, best-in-class case management capabilities, this legacy system is the primary candidate for retirement. Retiring the legacy Case Management system avoids data fragmentation and ensures that Salesforce serves as the single source of truth for support interactions.
However, for Salesforce to function effectively as a new case management hub, it must integrate with the remaining surrounding systems:
* Email Management System: This system likely handles inbound customer communications. An architect must evaluate integrating this with Salesforce (via Email-to-Case or a specialized connector) so that incoming emails automatically generate or update cases.
* Order Management System (OMS): Support agents often need to view order history or status to resolve customer inquiries. Integrating Salesforce with the OMS allows for a 360-degree view, enabling agents to see relevant order data directly within the Salesforce case console.
* Data Warehouse: For long-term reporting, trend analysis, and a unified customer profile, case data from Salesforce needs to be pushed to the Data Warehouse. This ensures that the Analytics and Business Intelligence Tool downstream can report on support metrics alongside other enterprise data.
Therefore, the architect should evaluate integrations with the Data Warehouse, Order Management, and Email Management System. Option B and C are incorrect because they suggest integrating with the "Case Management System," which is the very system being superseded by Salesforce's native capabilities. By focusing on the integration of these three supporting systems, the architect ensures a seamless transition where Salesforce is fully enriched with the necessary external data to drive support excellence.

In the context of Salesforce Connect, securing the integration depends heavily on how the platform authenticates with the external system. The Identity Type configuration is the fundamental security setting for an External Data Source.
The architect must choose between two Identity Types:
* Named Principal: Salesforce uses the same set of credentials for all users to access the external system. This is simple to manage but does not allow the external system to distinguish between individual Salesforce users for auditing or permission purposes.
* Per User: Each Salesforce user must have their own credentials for the external system. This is the most secure option as it ensures that the data visible in Salesforce respects the specific permissions the user has in the source system.
By correctly configuring the Identity Type, the architect ensures that the requests coming from Salesforce are properly authorized at the target system. Option B (CSRF Protection) is a security measure to prevent cross- site request forgery but is not the primary mechanism for authenticating the Salesforce service itself. Option A is a technical compatibility setting for non-standard OData implementations and does not directly relate to security. Therefore, recommending the appropriate Identity Type-typically "Per User" for sensitive data-is the key step in securing the OData connection.