Integration-Architect Reviews Questions

The typical and worst-case historical response times, and how many concurrent service calls are being placed are two considerations that an integration architect should make when building a scalable integration solution for synchronous callouts to “available to promise” services. These two factors can affect the performance, reliability, and availability of the integration solution, as well as the user experience of the customer checkout process. The integration architect should design the solution to handle high volumes of service calls, optimize the response times, handle errors and timeouts, and avoid hitting governor limits or service quotas. References: Certification - Integration Architect - Trailhead, [Callout Limits and Limitations], [Integration Patterns and Practices]

• Option C is correct because including selective criteria in query filters can improve the performance of the integration. Selective criteria are filters that reduce the number of records that need to be scanned by the query optimizer, such as indexed fields, standard indexes, or custom indexes. Selective criteria can help the query run faster and avoid hitting the query timeout limit or the query row limit.
• Option D is correct because removing the sharing restrictions can improve the performance of the integration. Sharing restrictions are filters that limit the access to records based on the user’s role, profile, or sharing rules. Sharing restrictions can add complexity and overhead to the query execution, as they require additional joins and calculations. Removing the sharing restrictions can simplify the query and reduce the number of records that need to be processed.
• Option A is incorrect because including non-selective criteria in query filters can degrade the performance of the integration. Non-selective criteria are filters that do not reduce the number of records that need to be scanned by the query optimizer, such as non-indexed fields, formula fields, or OR conditions. Non-selective criteria can cause the query to run slower and hit the query timeout limit or the query row limit.
• Option B is incorrect because removing the query filters can degrade the performance of the integration. Query filters are conditions that specify which records to retrieve from the database, such as WHERE clauses or LIMIT clauses. Query filters can help the query run faster and avoid retrieving unnecessary or unwanted data. Removing the query filters can increase the number of records that need to be processed and transmitted by the integration.

References: Working with Very Large SOQL Queries: Improve performance with custom indexes using Salesforce Query Plan tool: Querying Data That Respects User Permissions: How does sharing affect SOQL performance?: SOQL SELECT Syntax : SOQL Best Practices

• Option A is correct because using ESB (Mule) with cache/state management can help to handle the long-running requests from Salesforce and return a request ID or a response if available from the external systems. This way, Salesforce does not have to wait for the external systems to respond and can avoid the API gateway timeout1
• Option C is correct because using Continuation callouts can make the eligibility check request from Salesforce from Lightning UI at page load without blocking the UI thread. Continuation callouts are asynchronous and can handle long-running requests up to 60 seconds23
• Option E is correct because implementing a ‘Check Update’ button that passes a request ID received from ESB can allow the user to manually check the status of the eligibility check request. This can be useful when the response is not available within the Continuation timeout limit or when the user wants to refresh the data4
• Option B is incorrect because recommending synchronous Apex callouts from Lightning UI to External Systems via Mule and implementing polling on API gateway timeout can cause performance issues and user frustration. Synchronous Apex callouts block the UI thread and can only handle requests up to 120 seconds. Polling on API gateway timeout can increase the network traffic and consume the callout limits25
• Option D is incorrect because creating a Platform Event in Salesforce via Remote-Call-In and using the empAPI in the lightning UI to serve 3,000 concurrent users can introduce complexity and scalability issues. Platform Events are meant for event-driven architecture and not for request-response scenarios. Remote-Call-In requires an additional license and configuration. empAPI has a limit of 1,000 concurrent subscribers per channel678

References: 1: MuleSoft Documentation 2: Salesforce Documentation 4: Salesforce Trailhead 3: Salesforce Developers Blog 5: Salesforce Documentation 6: Salesforce Documentation 7: Salesforce Documentation 8: Salesforce Documentation

Event Monitoring is used to track user activity, such as logins and running reports, but it is not related to Platform Events. Subscribe to an AssetTokenEvent stream to monitor OAuth 2.0 authentication activity is also not related to Platform Events. When an event definition is deleted, it’s permanently removed and can’t be restored. This means that the event definition and its associated data are no longer available for subscribers or queries.