Salesforce Plat-Arch-204 Exam Questions

When data must reside on-premises due to security or compliance policies, but needs to be visible and actionable in Salesforce, the architect should recommend Data Virtualization via Salesforce Connect.

Salesforce Connect allows Salesforce to treat external data as if it were stored natively in the org without ever moving the data into the Salesforce cloud.28 This is achieved by creating External Objects that map to the on-premises data structures. For this to work seamlessly, the on-premises system or a middleware layer must expose the data through a compatible protocol, most commonly the Open Data Protocol (OData).

Option C is incorrect because Salesforce Connect does not natively support ODBC directly; ODBC is a low-level driver protocol, whereas OData is a web-based RESTful protocol designed for cross-platform data exchange. Option B is irrelevant as the data is stated to be on-premises, not in Heroku. By using Salesforce Connect with OData, the architect satisfies the 'stay on-premises' policy while providing Salesforce users with real-time, bidirectional access to the data, supporting features like Global Search and related lists without the overhead of data synchronization.

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.

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.

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.

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.