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| Section | Weight | Objectives |
|---|---|---|
| Test and Deploy | 8% | - Test and deploy integration
|
| Translate Needs to Integration Requirements | 22% | - Define integration requirements
|
| Build Solution | 23% | - Implement and configure integration
|
| Evaluate the Current System Landscape | 8% | - Identify system landscape and standards
|
| Design Integration Solutions | 28% | - Design scalable and secure solutions
|
| Maintain Integration | 11% | - Monitor and maintain integration
|
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NEW QUESTION # 73
A company has an external system that processes and tracks orders. Sales reps manage their leads and opportunity pipeline in Salesforce. The company decided to integrate Salesforce and the Order Management System (OMS) with minimal customization and code. Sales reps need to see order history in real-time. The legacy system is on-premise and connected to an ESB. There are 1,000 reps creating 15 orders each per shift, mostly with 20-30 line items. How should an integration architect integrate the two systems based on these requirements?
Answer: B
Explanation:
To meet the requirements of minimal customization, low developer resources, and real-time visibility without data replication, the architect should utilize Salesforce Connect with External Objects and an OData connector.
Salesforce External Objects allow the OMS data to be viewed within Salesforce as if it were stored natively, but the data remains in the on-premise system. This fulfills the requirement for sales reps to see "up-to-date information" because every time they view the record, Salesforce Connect fetches the latest data via the ESB's OData endpoint. This Data Virtualization pattern is the most efficient choice for real-time history where users only need to view the data occasionally.
Options A and B involve Data Replication via ETL, which would store the order data inside Salesforce. Given the volume (15,000 orders/shift with 25 line items each = 375,000 records daily), this would rapidly consume Salesforce data storage limits and require significant custom development for the ETL logic and REST APIs. Furthermore, ETL is typically batch-oriented and would not provide the true "real-time" view requested. By using an OData connector, the architect leverages a declarative, "no-code" solution that satisfies the timeline constraints and provides immediate access to order details and line items without the cost of data storage.
NEW QUESTION # 74
A customer is migrating from an old legacy system to Salesforce and wants to integrate all existing systems currently working with the legacy application. Which constraint/pain-point should an integration architect consider when choosing the integration pattern/mechanism?
Answer: C
Explanation:
When designing an integration architecture for a legacy migration, Data volume and processing volume are the primary technical constraints that dictate the choice of integration pattern.
Salesforce is a multi-tenant environment with strict governor limits. High data volumes can quickly exhaust synchronous request limits, API quotas, and storage allocations. An architect must evaluate:
Synchronous vs. Asynchronous: High-volume processing often requires asynchronous patterns (like Batch or Fire-and-Forget) to avoid blocking user actions and hitting concurrent request limits.
Bulk vs. REST: If millions of records need to be migrated or synchronized daily, the Bulk API is the only scalable mechanism, as standard REST or SOAP APIs are not optimized for massive datasets.
Data Persistence: Large volumes of read-only data might be better served through Data Virtualization (Salesforce Connect) to avoid consuming expensive Salesforce storage.
While reporting (Option C) and multi-currency (Option B) are important business requirements, they are functional configurations within Salesforce and do not drive the technical "plumbing" of the integration as heavily as volume does. By prioritizing the evaluation of volume and processing needs, the architect ensures that the integration is stable, performant, and capable of scaling as the business grows.
NEW QUESTION # 75
A company accepts payment requests 24/7. Once the company accepts a payment request, its service level agreement (SLA) r5equires it to make sure each payment request is processed by its Payment System. The co6mpany 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: C
Explanation:
To fulfill the SLA of ensuring every payment is processed while simultaneously resolving the issue of intermittent update errors, the architect must introduce an orchestration layer capable of managing state and concurrency. In a high-volume payment environment, "Fire and Forget" messages (as seen in the provided diagram) can lead to race conditions if multiple threads attempt to update a single record simultaneously-a common challenge when scaling payment systems.
The recommendation to have Middleware coordinate request delivery and payment processing (Option C) transforms the architecture into a managed queueing system. By coordinating delivery, the middleware can act as a traffic controller, ensuring that requests are delivered sequentially or that appropriate locks are respected before an update is attempted. This orchestration allows the system to meet its SLA by implementing a "guaranteed delivery" pattern, where the middleware tracks the status of each payment and only "forgets" the message once the Payment System confirms successful processing.
Furthermore, the architect should emphasize idempotency by leveraging the globally unique identifier created at the Data Entry Point. The Payment System should be designed to use this identifier to check if a specific transaction has already been processed before attempting an update. This prevents duplicate entries and conflicting updates, even if the middleware retries a message due to a network timeout. While retries (Options A and B) are part of a resilient system, they do not solve the root cause of record contention; only the coordination and sequencing provided by the middleware can ensure a stable, conflict-free integration flow.78
NEW QUESTION # 76
Northern Trail Outfitters is creating a distributable Salesforce package. The package needs to call into a Custom Apex REST endpoint in the central org. The security team wants to ensure a specific integration account is used in the central org that they will authorize after installation. Which item should an architect recommend?
Answer: C
Explanation:
For a distributable package to securely access a central "Hub" org, the architecture must support the OAuth 2.0 Web Server Flow. This flow is designed for applications (like the package installed in a "Spoke" org) that can securely store a Client Secret and need to act on behalf of a specific user.
The Connected App in the central org acts as the "Identity and Access" gatekeeper. A critical component of the Connected App configuration is the Callback URL (Redirect URI). When a user in the "Subscriber" org clicks "Authorize," Salesforce redirects them to the central org to log in. After successful authentication, the central org needs to know where to send the "Authorization Code" back to.
In a multi-org packaging scenario, each subscriber org will have a unique instance URL (e.g., na15.salesforce.com). The architect must ensure that the Connected App's callback URLs are correctly configured to handle these redirects.
Option C (Encrypted Passwords) is a major security risk and is considered an "anti-pattern" in modern integration. Option A is unnecessary, as API access is a standard feature. By using the Connected App with correct Callback URLs, the architect allows the security team in the central org to oversee exactly which "Spoke" orgs have authorized access. They can use the "Connected Apps OAuth Usage" page to monitor, rotate secrets, or revoke access for individual orgs, providing the granular security control required for an enterprise-grade distributed Salesforce architecture.
NEW QUESTION # 77
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: A
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 # 78
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