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| Section | Objectives |
|---|---|
| Security and Identity | - Data security
|
| Data Integration and Management | - Data transformation and mapping
|
| Event-Driven Architecture | - Asynchronous integration
|
| Integration Architecture Fundamentals | - Integration concepts and patterns
|
| Middleware and Integration Platforms | - Integration middleware
|
| API and Connectivity | - API-led connectivity
|
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NEW QUESTION # 54
Universal Containers (UC) support agents would like to open bank accounts on the spot. During the process, agents execute credit checks through external agencies. At any given time, up to 30 concurrent reps will be using the service. Which error handling mechanisms should be built to display an error to the agent when the credit verification process has failed?
Answer: B
Explanation:
In a synchronous Request-Reply scenario where a bank agent is waiting "on the spot" for a credit check, the error-handling strategy must balance immediate feedback with system resilience.
Option A is the recommended architectural approach for enterprise resiliency. By placing a Middleware layer (like MuleSoft) between Salesforce and the credit agencies, the architect can implement sophisticated error- handling patterns that are invisible to the user but critical for success. If a credit agency's API is momentarily unreachable, the middleware can perform automated retries (e.g., three attempts with 500ms intervals). If the retries still fail, the middleware sends a clean, structured error response back to Salesforce.
Option B (Fire and Forget) is fundamentally unsuitable for this use case because the agent needs the result immediately to open the account; they cannot wait for a callback that might arrive hours later. Option C (Mock service) is only a testing tool and provides no value in a production environment where real financial data is required. By delegating the retry logic to the middleware, the architect protects Salesforce's concurrent request limits (since the agent only occupies a thread for the duration of the final response) and ensures that transient network issues do not result in a "failed" bank account application for the customer.
NEW QUESTION # 55
Northern Trail Outfitters (NTO) leverages Sales Cloud for tracking and managing leads, accounts, contacts, and opportunities- Orders and order fulfillment is taken care of by an Order Management System (OMS) in the back-office. When an opportunity has changed it's status to "Closed/Won" and there are products attached, the details should be passed to the OMS for fulfillment operations.
The callout from Salesforce to the OMS should be synchronous.
What should an Integration Architect do to satisfy these requirements?
Answer: D
NEW QUESTION # 56
Northern Trail Outfitters (NTO) has an integration set up between a Salesforce org and a quoting system.
NTO would like to show a notification to allsales representatives that use Salesforceanytime the quoting system will be taken down for maintenance.
Which Salesforce API should an Integration Architect use to fulfill this requirement?
Answer: A
Explanation:
Streaming API is the best option for sending real-time notifications of changes to Salesforce data. Streaming API uses a publish-subscribe model to push relevant data to subscribers without polling. Streaming API supports PushTopic events, whichare based on SOQL queries that define the data changes to listen for. The affiliate company can subscribe to a PushTopic event on the NTO Salesforce org and receive notifications whenever the data that matches the query changes. This way, the affiliate company can be informed of any updates to the opportunities in the NTO Salesforce instance.
NEW QUESTION # 57
A customer of Salesforce has used Platform Events to integrate their Salesforce instance with an external third-party Artificial Intelligence (AI) system. The AI system provides a prediction score for each lead that is received by Salesforce. Once the prediction score is received, the lead information is saved to Platform events for other processes. The trigger on the Platform Events is failing once this was rolled out to Production.
What type of monitoring should the IntegrationConsultant have considered to monitor this integration?
Answer: B
Explanation:
The integration consultant should have considered monitoring the Platform Events created per hour limits across the Salesforce instance. This is because Platform Events have a limit on the number of events that can be published or delivered per hour, depending on the edition and license type. If this limit is exceeded, the trigger on the Platform Events may fail or be delayed. Option B is not correct because debug logs for Platform Event triggers are not useful for monitoring performance. Debug logs are used for troubleshooting issues or errors in the trigger logic, not for measuring the throughput or latency of the events. Option C is not correct because validating the Platform Event definition matches leads definition is not a monitoring task, but a design task. The integration consultant should have ensured that the Platform Event definition matches leads definition before deploying the integration to production. Option D is not correct because monitoring the volume of leads that are created in Salesforce is not relevant for this integration. The volume of leads does not affect the trigger on the Platform Events, as long as the Platform Events created per hourlimits are not exceeded.
NEW QUESTION # 58
An integration architect needs to build a solution that will be using the Streaming API, but the data loss should be minimized, even when the client re-connects every couple of days.
Which two types of Streaming API events should be considered?
Choose 2 answers
Answer: B,C
NEW QUESTION # 59
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