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NEW QUESTION # 20
An integration developer is developing an HR synchronization app for a client. The app synchronizes Salesforce record data changes with an HR system that's external to Salesforce. What should the integration architect recommend to ensure notifications are stored for up to 3 days if data replication fails?
Answer: B
Explanation:
For HR synchronization requiring high reliability and a multi-day data retention window, Change Data Capture (CDC) is the optimal architectural choice.12 CDC is an event-driven integration framework that automatically publ3ishes change events for Sale4sforce records (Create, Update, Delete, and Undelete). A critical feature of CDC for failure recovery is its 72-hour (3-day) retention window. If the external HR system or the replication middleware experience downtime, the change events remain stored in the Salesforce event bus for up to three days. Once the HR system is back online, the subscriber can use the Replay ID of the last successfully processed event to retrieve all missed notifications from the bus, ensuring zero data loss during the outage.
In contrast, Outbound Messaging (Option B) only provides a 24-hour retry window. If the target system is unavailable for more than one day, the notifications are dropped, making it unsuitable for a 3-day requirement. Callouts (Option C) are typically synchronous and do not have native, platform-managed storage or retry mechanisms for failed requests; once a callout fails, the data is lost unless a custom retry architecture is built. CDC's native, durable event bus provides the necessary scalability and resilience for critical HR data synchronization without requiring complex custom code for error handling and data recovery.
NEW QUESTION # 21
A customer's enterprise architect has identified requirements around caching, queuing, error handling, alerts, retries, event handling, etc. Which recommendation should the integration architect make?
Answer: A
Explanation:
When an enterprise architect identifies complex infrastructure needs such as caching, queuing, and sophisticated event routing, it signals that a point-to-point integration architecture is insufficient. In such cases, the Integration Architect should recommend a Middleware-mediated architecture.
Middleware tools, such as an Enterprise Service Bus (ESB) or an iPaaS (Integration Platform as a Service), are specifically designed to fulfill these complex "Quality of Service" (QoS) requirements. In a publish/subscribe scenario, the middleware acts as the central orchestrator. It can receive a single "Fire and Forget" event from a publisher (like Salesforce) and then manage the technical complexities of routing that message to multiple active subscribers.
Middleware handles infrastructure-level tasks such as message queuing for offline systems, automatic retries with exponential backoff, and error handling with alerts-capabilities that are either unavailable or difficult to scale within Salesforce natively. Performing message transformation and protocol translation (e.g., SOAP to REST) within the middleware layer also protects Salesforce's Apex CPU limits. By leveraging middleware for these concerns, the architect ensures that Salesforce remains a performant engagement layer while the middleware provides the robust technical backbone for a resilient enterprise landscape.
NEW QUESTION # 22
UC has an API-led architecture with three tiers. Requirement: return data to systems of engagement (mobile, web, Salesforce) in different formats and enforce different security protocols. What should the architect recommend?
Answer: A
Explanation:
In a standard API-led connectivity model, the First Tier (Experience APIs) is responsible for tailoring data for specific systems of engagement.
The Experience APIs take the core data from the lower tiers and transform it into the specific return formats (e.g., JSON for mobile, XML for legacy web) and security protocols (e.g., OAuth for Salesforce, API Keys for web) required by each consumer. Option B correctly identifies that these transformations and security enforcements should happen at this outer layer. While an API Gateway (Option A) can provide generic security and rate limiting, it is the Experience API layer that provides the functional transformation and specific protocol requirements defined by the business needs of the engagement systems.
NEW QUESTION # 23
A security assessment noted vulnerabilities on unmanaged packages; notably, secrets like usernames, passwords, and OAuth tokens are stored in plain text. Which persistence mechanisms should an integration architect require to ensure that secrets are protected from deliberate or inadvertent exposure?
Answer: A
NEW QUESTION # 24
Northern Trail Outfitters (NTO) wants to improve the quality of callouts from Salesforce to its REST APIs by requiring all API clients to adhere to RAML (REST API Markup Language) specifications. The RAML specs serve as interface contracts. 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 approach using RAML, the specification acts as the single source of truth for request and response structures. Since Salesforce unit tests are prohibited from performing actual network callouts, the HttpCalloutMock interface must be used to simulate external API behavior.
To ensure unit tests truly confirm adherence to the RAML contract, the architect must mandate that the mock implementation specifically returns responses formatted per the RAML specification. This means the mock's JSON or XML body, headers, and HTTP status codes (e.g., 200 OK, 400 Bad Request) must exactly match the "interface contract" defined in the RAML file.
By strictly aligning the mock with the RAML spec, developers ensure that the Apex client's parsing logic (e.g., JSON.deserialize()) is tested against the agreed-upon data model. If the external service later changes its schema in a way that deviates from the RAML, the unit tests-which are based on that contract-will help identify where the Apex code might fail. Options B and C are technically incorrect: the client does not "call" or "implement" the mock; rather, the test runtime provides the mock instance to the client via Test.setMock().
NEW QUESTION # 25
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