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NEW QUESTION # 75
Northern Trail Outfitters needs a low-code, near real-time REST integration to an ERP when an Order is created. They have limited development resources. Which option should fulfill the use case requirements?
Answer: A
Explanation:
For a team with limited development resources and a low-code requirement, Lightning Flow (Flow Builder) is the primary declarative engine for modern integrations.
In this scenario, creating a Platform Event via a record-triggered flow provides a highly scalable, near real-time "Fire-and-Forget" signal to the middleware. This is considered low-code because it can be built entirely using point-and-click tools within Salesforce. Once the Order is created, the flow publishes the event to the bus. The middleware, acting as a subscriber, receives the event and orchestrates the REST call to the ERP.
Option C (Outbound Messaging) is also a low-code tool, but it natively sends messages in SOAP format. Since the ERP requires a REST endpoint, using Outbound Messaging would necessitate additional transformation logic in the middleware, making it a less efficient architectural choice than using a Flow to trigger an event or an External Service. Option B (Change Data Capture) is a powerful tool but often requires more advanced "pro-code" configuration on the subscriber/middleware side to handle Replay IDs and Bayeux protocols, which might exceed the "limited resources" constraint of the Salesforce team.
NEW QUESTION # 76
An integration architect has received a request to prevent employees that leave the company from accessing data in Salesforce after they are deactivated in the company's HR system. What should the integration architect determine before recommending a solution?
Answer: B
NEW QUESTION # 77
Northern Trail Outfitters submits orders to the manufacturing system web service. Recently, the system has experienced outages that keep service unavailable for several days. Which solution should an integration architect recommend to handle errors during these types of service outages?1718
Answer: B
Explanation:
When a target system experiences prolonged outages (lasting "several days"), point-to-point integrations built directly within Salesforce are prone to failure because they lack the persistence required for long-term retries. The architecturally sound recommendation is to utilize middleware queuing and buffering to "insulate" Salesforce from the target system's instability.
In this architecture, Salesforce sends the order to a middleware layer (such as an ESB or iPaaS). The middleware immediately acknowledges receipt of the message, freeing up Salesforce resources. If the manufacturing system is offline, the middleware stores the order in a persistent Message Queue. Unlike Salesforce Outbound Messaging (Option B), which only retries for up to 24 hours, enterprise middleware can be configured to hold messages for days or even weeks.
Middleware also provides sophisticated Quality of Service (QoS) features, such as "Dead Letter Queues" for manual intervention and customized retry schedules (e.g., retrying every hour instead of every few minutes). This decoupling ensures that Salesforce users can continue to create and "send" orders without seeing technical errors, even while the backend manufacturing system is down. Once the manufacturing service is restored, the middleware "drains" the queue, delivering all buffered orders in the correct sequence. This strategy provides the highest level of reliability and resilience for mission-critical business processes.
NEW QUESTION # 78
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?
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 # 79
A customer is migrating from an old legacy system to Salesforce and wants to integrate all existing systems currently working with the legacy application. Which constraint/pain-point should an integration architect consider when choosing the integration pattern/mechanism?
Answer: B
Explanation:
When designing an integration architecture for a legacy migration, Data volume and processing volume are the primary technical constraints that dictate the choice of integration pattern.
Salesforce is a multi-tenant environment with strict governor limits. High data volumes can quickly exhaust synchronous request limits, API quotas, and storage allocations. An architect must evaluate:
Synchronous vs. Asynchronous: High-volume processing often requires asynchronous patterns (like Batch or Fire-and-Forget) to avoid blocking user actions and hitting concurrent request limits.
Bulk vs. REST: If millions of records need to be migrated or synchronized daily, the Bulk API is the only scalable mechanism, as standard REST or SOAP APIs are not optimized for massive datasets.
Data Persistence: Large volumes of read-only data might be better served through Data Virtualization (Salesforce Connect) to avoid consuming expensive Salesforce storage.
While reporting (Option C) and multi-currency (Option B) are important business requirements, they are functional configurations within Salesforce and do not drive the technical "plumbing" of the integration as heavily as volume does. By prioritizing the evaluation of volume and processing needs, the architect ensures that the integration is stable, performant, and capable of scaling as the business grows.
NEW QUESTION # 80
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