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| Section | Weight | Objectives |
|---|---|---|
| Translate Needs to Integration Requirements | 22% | - Determine security and performance requirements - Evaluate system and process constraints - Inventory systems and integration patterns |
| Evaluate the Current System Landscape | 8% | - Analyze constraints and pain points of existing systems - Evaluate authentication and authorization requirements - Identify system landscape, standards, limitations and protocols |
| Evaluate Business Needs | 11% | - Identify CRM success factors and regulatory impacts - Identify functional and non-functional integration requirements - Classify data sensitivity level |
| Design Integration Solutions | 28% | - Design solution components and architectures - Select appropriate integration patterns - Choose API types and communication protocols |
| Maintain and Monitor Integrations | 8% | - Troubleshoot and debug issues - Monitor performance and availability - Update and optimize integrations |
| Build Integration Solutions | 23% | - Handle errors and exceptions - Apply security and governance measures - Implement integration components and logic |
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NEW QUESTION # 10
A company accepts payment requests 24/7. Once the company accepts a payment request, its service level agreement (SLA) requires it to make sure each payment request is processed by its Payment System. The company tracks payment requests using a globally unique identifier created at the Data Entry Point. The company's simplified flow is as shown in the diagram.
The company encounters intermittent update errors when two or more processes try to update the same Payment Request record at the same time. Which recommendation should an integration architect make to improve the company's SLA and update conflict handling?
Answer: A
Explanation:
In high-concurrency environments like 24/7 payment processing, a common architectural failure is "race conditions," where multiple threads attempt to update the same record simultaneously. To resolve this while strictly adhering to a Service Level Agreement (SLA), the Integration Architect must shift the responsibility of orchestration to a central "nervous system"-the Middleware (e.g., MuleSoft or an ESB).
According to Salesforce Integration best practices, Middleware coordination is essential for managing the state and sequencing of asynchronous messages. By having the Middleware coordinate request delivery, it can implement a "Sequential Processing" or "First-In-First-Out" (FIFO) queue logic. This ensures that even if the Data Entry Point pushes requests at high speed, the Middleware can throttle or serialize the calls to the Payment System, preventing the record-locking errors and update conflicts mentioned in the scenario.
Furthermore, the globally unique identifier created at the Data Entry Point allows the Middleware to perform Idempotency checks. If a duplicate request arrives or an error occurs, the Middleware can use this ID to verify the status before attempting another update, ensuring that the "exactly-once" processing requirement of the SLA is met without creating duplicate payment records or conflicting status updates.
While Option B suggests retries-which are necessary for a "Fire-and-Forget" pattern-retrying without central coordination often exacerbates update conflicts rather than solving them. Option C (processing once) is a result of a well-designed system, but it does not provide the mechanism to handle the specific update conflicts described. By recommending that the Middleware coordinate the entire flow, the architect provides a robust solution that manages delivery, handles retries gracefully, and ensures data integrity across the system landscape.
NEW QUESTION # 11
A global financial company with a core banking system processing 1 million transactions per day wants to build a community portal. Customers need to review their bank account details and transactions. What should an integration architect recommend to enable community users to view their financial transactions?
Answer: B
Explanation:
When dealing with high-volume data (1 million transactions per day) that does not need to be stored natively in Salesforce, the architect should recommend Data Virtualization via Salesforce Connect.
Salesforce Connect allows the company to display external data as External Objects. This approach provides several architectural advantages for a banking community:
* No Data Storage: Transactions remain in the core banking system, avoiding the massive storage costs and complex synchronization logic required to house millions of records natively in Salesforce.
* Real-Time Visibility: Because External Objects are queried on-demand via the OData protocol or a custom Apex adapter, customers see the most up-to-date transaction history every time they refresh the page.
While an Iframe (Option B) is technically possible, it is often discouraged due to security concerns (such as clickjacking) and a poor user experience, as the Iframe does not natively integrate with Salesforce UI components or reporting. Salesforce Connect provides a "seamless" look and feel, allowing External Objects to be used in related lists and Lightning components just like standard Salesforce records, while keeping the heavy data burden on the performant core banking system.
NEW QUESTION # 12
A company needs to send data from Salesforce to a homegrown system behind a corporate firewall. The data is pushed one way, doesn't need to be real-time, and averages 2 million records per day. What should an integration architect consider?
Answer: B
Explanation:
With a volume of 2 million records per day, this integration exceeds the practical limits of standard near- real-time patterns like Outbound Messaging or synchronous Apex Callouts. Sending 2 million individual REST requests would likely exhaust the daily API limit and could cause significant performance degradation in Salesforce due to transaction overhead.
An Integration Architect must recommend an Asynchronous Batch Data Synchronization pattern, typically facilitated by a third-party ETL/Middleware tool (e.g., MuleSoft, Informatica, or Boomi). Staging the records off-platform is essential for several reasons:
* Throttling: The homegrown system behind a firewall may not be able to handle a massive, sudden burst of 2 million records. A middleware tool can ingest the data from Salesforce and "drip-feed" it into the target system at an acceptable rate.
* Error Handling and Retries: Middleware provides sophisticated persistence and "Dead Letter Queues" to ensure that if the homegrown system goes offline, no data is lost.
* API Efficiency: The middleware can use the Salesforce Bulk API 2.0 to extract the data in large chunks, which is significantly more efficient than individual REST calls and consumes far fewer API limits.
Option A is a valid concern but is a symptom of the wrong choice of tool (REST). Option B describes an inbound integration to Salesforce, whereas the requirement is outbound. By utilizing a third-party tool to stage and manage the 2 million record flow, the architect ensures that the integration is scalable, respects the corporate firewall constraints (via a secure agent or VPN), and maintains the performance of the Salesforce production environment.
NEW QUESTION # 13
A customer is evaluating the Platform Events solution and would like help in comparing/contrasting it with Outbound Messaging for real-time/near-real time needs. They expect 3,000 customers to view messages in Salesforce. What should be evaluated and highlighted when deciding between the solutions?12
Answer: C
Explanation:
When comparing Platform Events and Outbound Messaging for a near-real-time architecture, a Salesforce Platform Integration Architect must evaluate fundamental differences in their delivery models and governance. While both provide declarative, asynchronous "Fire-and-Forget" capabilities, their technical constraints differ significantly, particularly regarding scalability and platform limits.
The key architectural highlight in this scenario is that Platform Events operate on a specialized event bus with specific Event Publishing and Event Delivery limits. Unlike Outbound Messaging, which is governed by more general daily outbound call limits (often tied to user licenses), Platform Events have a dedicated allocation for the number of events that can be published per hour and delivered in a 24-hour period to external clients via the Pub/Sub API or CometD. For example, the number of concurrent subscribers to a Platform Event channel is typically capped at 2,000 for standard configurations. Since the customer expects
3,000 customers to view these messages, this limit is a critical evaluation point; the architecture would need to account for this gap, perhaps by using middleware to fan out messages to the larger audience.
In contrast, Outbound Messaging does not have an "Event Delivery" limit in the same sense. It is a point-to- point SOAP-based push mechanism where Salesforce manages retries for up to 24 hours if the receiving endpoint is unavailable. However, it is less flexible for multi-consumer scenarios because it requires a separate configuration for every unique destination.
Regarding the other options: Option A is incorrect because neither system strictly guarantees "exactly-once" delivery without the possibility of duplicates; in fact, Outbound Messaging may deliver a message more than once if it doesn't receive a timely acknowledgment. Option B is incorrect because Platform Events do not have built-in "fault recovery" handled by Salesforce in the same way as Outbound Messaging's automatic retry queue; with Platform Events, it is the subscriber's responsibility to use a Replay ID to retrieve missed events within the 72-hour retention window. Therefore, highlighting the unique delivery and publishing limits is the most vital step for the architect.
NEW QUESTION # 14
Universal Containers is a global financial company that sells financial products and services.
There is a daily scheduled Batch Apex job that generates invoice 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: B
Explanation:
The BatchApexErrorEvent object allows handling errors that occur during Batch Apex execution. By subscribing to this event,the integration can retry the invoice generation for the failed records or perform other recovery actions. This is a resilient and scalable solution that does not require custom code in the Batch Apex job itself or in the middleware1
NEW QUESTION # 15
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