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NEW QUESTION # 100
Northern Trail Outfitters wants to use Salesforce as a front end for creating accounts using the lead-to-opportunity process. An order is created in Salesforce when the opportunity is Closed/Won, but the back-end Enterprise Resource Planning (ERP) system is the data master for order. The customer wants to be able to see within Salesforce all the stages of order processing like Order Created, Order Shipped, and Order Paid that are within the retention window. Which message durability consideration should an integration architect make when designing a solution to meet these business requirements?
Answer: B
Explanation:
When designing a solution that requires Salesforce to receive and display updates from a back-end ERP (such as order status changes), message durability is a critical factor for ensuring data consistency. In an event-driven architecture using Platform Events or Change Data Capture (CDC), Salesforce utilizes an event bus to handle these incoming notifications.
For high-volume event messages, the Salesforce platform provides a native 72-hour (3-day) retention window. This is a significant architectural advantage for several reasons:
System Resilience: If the Salesforce org or the integration middleware experiences a temporary disruption or is undergoing maintenance, the event messages published by the ERP remain stored in the bus for up to 3 days.
Data Recovery: Once the connection is restored, the subscribing system (Salesforce) can use the Replay ID to catch up on any missed events from the last 72 hours, ensuring that order stages like "Order Shipped" or "Order Paid" are not missed.
SLA Management: This 3-day window exceeds the 24-hour limit of older technologies like PushTopics or Outbound Messaging (Option A), providing more breathing room for disaster recovery scenarios.
While ReplayID -1 (Option C) is used to subscribe only to new events published after the subscription starts, it does not address the durability or retention of historical events needed for recovery. By highlighting the 72-hour retention window, the integration architect provides a design that is robust against outages and guarantees that the "System of Engagement" (Salesforce) stays synchronized with the "System of Record" (ERP).
NEW QUESTION # 101
Northern Trail Outfitters (NTO) has an affiliate company that would like immediate notifications of changes to opportunities in the NTO Salesforce instance. The affiliate company has a CometD client available.
Which solution is recommended in order to meet the requirement?
Answer: A
Explanation:
To provide "immediate notifications" to a client that already supports CometD, the architect must utilize Salesforce's Streaming API. PushTopic Events are the classic Streaming API implementation for broadcasting changes to specific records.
A PushTopic is a definition that includes a SOQL query and a set of trigger events (Create, Update, Delete). When an Opportunity in NTO's instance is updated and matches the query, Salesforce automatically pushes a notification to the topic's channel. The affiliate's CometD client, having subscribed to this channel, receives the data payload instantly.12 Option A (Polling) is the architectural opposite of "immediate notifications". Polling is inefficient, consumes API limits, and int13roduces latency between the actual record change and the client's discovery of that change. Option C is incorrect as there is no "Accept CometD" setting in a Connected App; while a Connected App is used for OAuth authentication, the PushTopic is the mechanism that actually defines and delivers the stream. By using PushTopic, NTO provides a decoupled, event-driven architecture that fulfills the requirement for real-time visibility while minimizing the technical burden on the affiliate's infrastructure.
NEW QUESTION # 102
Universal Containers (UC) is a global financial company that sells financial products and services. There is a daily scheduled Batch Apex job that generates invoices from a given set of orders. UC requested building a resilient integration for this Batch Apex job in case the invoice generation fails. What should an integration architect recommend to fulfill the requirement?
Answer: A
Explanation:
Resiliency in long-running Batch Apex processes is best achieved by utilizing modern, event-driven error handling frameworks provided by the Salesforce platform. The BatchApexErrorEvent is the architecturally recommended component for monitoring and responding to failures in Batch Apex jobs.
When a Batch Apex class implements the `Database.RaisesPlatformEvents` interface, the platform automatically publishes a BatchApexErrorEvent whenever an unhandled exception occurs during the execution of a batch. This event contains critical metadata, including the exception message, the stack trace, and the scope (the specific IDs of the records that were being processed when the failure occurred).
An Integration Architect should recommend building a Platform Event Trigger that subscribes to these error events. This trigger can perform sophisticated error handling logic, such as:
* Logging the failure details into a custom "Integration Error" object for auditing.
* Initiating a retry logic by re-enqueuing only the failed records into a new batch job.
* Notifying administrators or external systems via an outbound call or email.
This approach is superior to Option B (internal handling) because unhandled exceptions often cause the entire batch transaction to roll back, potentially losing any error logging performed within the same scope. It is also more efficient than Option C (middleware), as it keeps the error recovery logic "close to the data," reducing the need for external systems to constantly poll for job status or parse complex logs. By using BatchApexErrorEvent, UC ensures a resilient, self-healing process that maintains the integrity of the invoice generation cycle.
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NEW QUESTION # 103
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: B
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 # 104
Northern Trail Outfitters needs to make synchronous callouts "available-to-promise" services to query product availability and reserve inventory during the customer checkout process. What should an integration architect consider when building a scalable integration solution?
Answer: C
Explanation:
In a Synchronous Request-Reply pattern, the user's experience is directly tied to the performance of the external service. For a mission-critical "Available-to-Promise" (ATP) service during checkout, the most vital scalability consideration is the typical and worst-case historical response times of the target system.
Salesforce imposes strict Governor Limits on synchronous callouts to protect platform health. Specifically, if an ATP callout takes longer than 120 seconds, the transaction will time out. More importantly, Salesforce limits the number of long-running requests (those lasting longer than 5 seconds). If multiple users are checking out simultaneously and the external inventory system begins to respond slowly (worst-case), those requests can quickly occupy all available slots in the concurrent request queue, leading to "Concurrent Request Limit Exceeded" errors for all users in the org.
By analyzing historical response times, the architect can determine if the service is reliable enough for a synchronous callout. If the worst-case response time frequently exceeds 5 seconds, the architect should consider a more resilient pattern, such as the Continuation pattern or an asynchronous approach, to prevent blocking the UI thread and hitting platform limits. Options A and C are irrelevant to synchronous checkout performance; query cursors relate to database state, and batch jobs are asynchronous background processes that do not impact real-time user checkout latency.
NEW QUESTION # 105
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