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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test and Deploy | 8% | - Test and deploy integration
|
| Topic 2: Build Solution | 23% | - Implement and configure integration
|
| Topic 3: Evaluate the Current System Landscape | 8% | - Identify system landscape and standards
|
| Topic 4: Translate Needs to Integration Requirements | 22% | - Define integration requirements
|
| Topic 5: Maintain Integration | 11% | - Monitor and maintain integration
|
| Topic 6: Design Integration Solutions | 28% | - Design scalable and secure solutions
|
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NEW QUESTION # 13
A subscription-based media company's system landscape forces many subscribers to maintain multiple accounts and to log in more than once. An Identity and Access Management (IAM) system, which supports SAML and OpenId, was recently implemented to improve the subscriber experience through self-registration and single sign-on (SSO). The IAM system must integrate with Salesforce to give new self-service customers instant access to Salesforce Community Cloud.
Which requirement should Salesforce Community Cloud support for self-registration and SSO?
Answer: A
NEW QUESTION # 14
Universal Containers (UC) has a legacy homegrown application that stores customer data. Sales representatives edit contact records in Salesforce. UC requirements: 1. Salesforce updates should update the homegrown application. 2. Synchronization should be event-driven. 3. Integration should be asynchronous. Which option should an architect recommend?
Answer: B
Explanation:
For a requirement focused on synchronizing record updates from Salesforce to an external system in an event-driven and asynchronous manner, Change Data Capture (CDC) is the architecturally preferred solution over custom Platform Events.
CDC is designed specifically for data replication and synchronization. It automatically publishes change events for Salesforce records (Create, Update, Delete, and Undelete) to the event bus. Unlike Platform Events, which require manual publishing via Apex triggers or Flows, CDC is a low-code feature that requires only a simple activation for the Contact object in Setup. The external homegrown application can then act as a CometD subscriber, listening to the specialized /data/ContactChangeEvent channel to receive near real-time updates without the need for constant polling. Furthermore, CDC provides ordered, replayable events and an extended 72-hour retention window, ensuring that the homegrown application can recover missed updates using a Replay ID if it momentarily loses connection. This native broadcasting capability ensures data integrity across systems while breaking the tight coupling between Salesforce and the legacy application.
NEW QUESTION # 15
An enterprise architect has requested the Salesforce integration architect to review the following (see diagram and description) and provide recommendations after carefully considering all constraints of the enterprise systems and Salesforce Platform limits.
About 3,000 phone sales agents use a Salesforce Lightning user interface (UI) concurrently to check eligibility of a customer for a qualifying offer.
There are multiple eligibility systems that provide this service and are hosted externally.
Their current response times could take up to 90 seconds to process and return.
These eligibility systems are accessed through APIs orchestrated via ESB (MuleSoft).
All requests from Salesforce traverse the customer's API Gateway layer, which imposes a timeout constraint of 9 seconds.
Which recommendation should the integration architect make?
Answer: B
Explanation:
In this architectural scenario, the Integration Architect must navigate two critical technical "bottlenecks": the 9-second API Gateway timeout and the 90-second backend processing time. Since the backend takes significantly longer than the gateway allows for a synchronous connection, a standard Request-Reply pattern will fail. Furthermore, having 3,000 concurrent agents perform synchronous callouts would risk hitting Salesforce's concurrent long-running request limits.
The most scalable and user-friendly solution is to implement an Asynchronous Request-Reply pattern using Platform Events and the empAPI.
When an agent clicks "Check Eligibility," Salesforce sends an initial asynchronous request to the ESB (MuleSoft). The ESB immediately acknowledges receipt with a 202 Accepted status, freeing up the Salesforce UI thread and avoiding the API Gateway's 9-second timeout. Once the backend eligibility system completes its 90-second process, MuleSoft acts as a client to Salesforce, performing a Remote Call-In to publish a specific Platform Event containing the result and the original Request ID.
On the frontend, the Lightning UI uses the empAPI (Enterprise Messaging Platform API) to subscribe to the streaming channel for that Platform Event. Because the empAPI uses CometD technology to maintain a single long-lived connection, it can efficiently push the response to the agent's screen the moment it arrives, without requiring the agent to manually refresh or click a "Check Update" button (as suggested in Option B). This provides a "real-time" feel despite the long backend latency.
Option A is non-viable because synchronous polling would exacerbate the load on the API Gateway and likely lead to governance limit issues within Salesforce. By using Platform Events and empAPI, the architect ensures the solution remains within Salesforce's execution limits while providing a seamless, automated experience for a high-volume call center environment.
NEW QUESTION # 16
Northern Trail Outfitters submits orders to a manufacturing system web service that has experienced multi-day outages. Which solution should an integration architect recommend to handle errors during these types of outages?
Answer: B
Explanation:
When a target system experiences prolonged outages (lasting "several days"), point-to-point integration solutions built within Salesforce are likely to fail or reach their retry limits. For example, Salesforce Outbound Messaging (Option B) only retries for up to 24 hours before dropping the message.
The architecturally robust solution is to introduce a Middleware layer (ESB or iPaaS) that provides queuing and buffering. In this model, Salesforce sends the order to the middleware. The middleware immediately acknowledges receipt (preserving Salesforce performance). If the manufacturing system is offline, the middleware stores the message in a persistent queue.
Middleware is designed for this high level of Quality of Service (QoS). It can be configured with custom retry logic-such as waiting 30 minutes between attempts-and can hold millions of messages for days or even weeks. This effectively "insulates" Salesforce from the manufacturing system's instability. Option C is overly complex and requires custom development in both the event bus and Apex, whereas middleware provides this functionality as a native capability. By using middleware, the architect ensures that no orders are lost during extended manufacturing downtime and that the integration is decoupled and resilient.
NEW QUESTION # 17
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: C
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 # 18
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