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| Section | Objectives |
|---|---|
| Topic 1: Data Integration and Management | - Data quality and governance
|
| Topic 2: Error Handling and Monitoring | - Integration resilience
|
| Topic 3: Event-Driven Architecture | - Asynchronous processing
|
| Topic 4: API and Connectivity | - Authentication and security
|
| Topic 5: Integration Architecture Design | - Integration patterns and best practices
|
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NEW QUESTION # 124
Given the diagram above, a Salesforce org, middleware, and Historical Data store exist with connectivity between them. Historical records are archived from Salesforce, moved to a Historical Data store (which houses 20 million records and growing), and fine-tuned to be performant with search queries. When reviewing occasional special cases, call center agents that use Salesforce have requested access to view the historical case items that relate to submitted cases.
Which mechanism and patterns are recommended to maximize declarative configuration?
Answer: B
Explanation:
When designing a solution to view large volumes of archived data (over 20 million records) without physically storing them back in Salesforce, a Data Virtualization pattern is the architecturally preferred approach. This pattern allows users to view and interact with external data in real-time without the overhead of data replication, which would otherwise consume significant storage and impact platform performance.
To maximize declarative configuration, the Salesforce Platform Integration Architect should recommend Salesforce Connect. Salesforce Connect allows for the creation of External Objects, which behave much like standard objects but point to data residing outside of Salesforce. This is achieved by having the middleware (ESB) expose the Historical Data store via an OData (Open Data Protocol) endpoint. Once configured, call center agents can view historical case items directly on the Case record page using standard related lists or lookups, all configured through the point-and-click interface rather than custom code.
The provided landscape diagram illustrates a clear path from Salesforce through middleware to the Historical Data Store. Option A leverages this by using the ESB to bridge the protocol gap. Because the data store is already "fine-tuned to be performant with search queries," Salesforce Connect can efficiently query only the specific historical records needed for the current case view.
In contrast, Option B requires a "Request and Reply" pattern using Apex callouts and custom Lightning components. While functional, this is a code-heavy approach that increases technical debt and does not meet the "maximize declarative configuration" requirement. Option C, using "Fire and Forget" with Platform Events, is unsuitable for a synchronous "view data" request; Platform Events are asynchronous and would require a complex, custom-built UI to "wait" for and display the response. Therefore, the combination of OData and Salesforce Connect provides the most seamless, scalable, and low-maintenance solution for call center agents.
NEW QUESTION # 125
Northern Trail Outfitters needs a synchronous callout from Salesforce to an Order Management System (OMS) when an opportunity is "Closed/Won" with products attached. What should an integration architect do to satisfy these requirements?
Answer: C
Explanation:
To satisfy a requirement for a synchronous callout triggered by a user action, the architect should use a UI-driven approach, such as a Lightning component and a button.
In Salesforce, triggers (Option B) are primarily used for asynchronous logic in integration contexts. Because a trigger executes as part of the database save operation, making a synchronous callout directly from a trigger is prohibited as it would block the database transaction until the external system responds, leading to performance degradation and "uncommitted work pending" errors. If a trigger must initiate an integration, it must do so asynchronously (using @future or Queueable Apex), which violates the requirement for a synchronous call.
By using a Lightning component, the architect can initiate a synchronous Request-and-Reply pattern. When the sales rep clicks the "7Submit to OMS" button, the componen8t invokes an Apex method that makes the REST callout to the OMS in real-time. The user remains on the page while the system waits for the OMS to respond, allowing for immediate feedback-such as an order confirmation number or an error message-to be displayed in the UI. A Batch Apex job (Option C) is inherently asynchronous and delayed, making it unsuitable for a synchronous, real-time fulfillment requirement.
NEW QUESTION # 126
Universal Containers (UC) is currently managing a custom monolithic web service that runs on an on-premise server. This monolithic web service is responsible for Point-to-Point (P2P) integrations between Salesforce and a legacy billing application, a cloud-based ERP, and a data lake. UC has found that the tight interdependencies are causing failures. What should an integration architect recommend to decouple the systems and improve performance?
Answer: B
Explanation:
The primary architectural flaw in UC's current landscape is the reliance on a monolithic P2P integration layer. In such designs, any failure in one integration thread or a surge in volume for one system can monopolize resources (CPU, memory, threads), causing the entire service-and thus all other integrations-to fail. This lack of isolation leads to the "tight interdependencies" described.
To effectively decouple these systems, the architect should recommend a Microservices Architecture. By breaking the monolithic service into smaller, independent, and modular components, each integration (Billing, ERP, Data Lake) becomes its own isolated service. This approach provides several key architectural benefits:
Isolation of Failure: If the connection to the legacy billing application fails or times out, it no longer impacts the ERP or Data Lake integrations.
Independent Scalability: If the Data Lake integration requires high throughput, that specific microservice can be scaled horizontally without wasting resources on the others.
Technology Agility: Each microservice can be updated or patched independently, allowing for faster maintenance cycles.
Furthermore, moving a "monolithic" service to the cloud (Option B) is simply a "lift and shift" that preserves the underlying fragility. While the Bulk API (Option A) is excellent for high-volume data loading, it does not solve the fundamental problem of system interdependency and orchestration failure. Transitioning to a modular, service-oriented design allows UC to implement modern integration patterns, such as asynchronous queuing between the microservices, which significantly improves the overall resilience and performance of the Salesforce-to-back-office landscape.
NEW QUESTION # 127
What should an integration architect recommend to ensure all integrations to the Northern Trail Outfitters' company portal use SSL mutual authentication?
Answer: A
Explanation:
To ensure that all integrations calling into a Salesforce portal are secured with Mutual Authentication, the architect must enable and configure specific platform-level security settings. The primary recommendation is to Enforce SSL/TLS Mutual Authentication for the relevant integration users.
Mutual Authentication (Two-way SSL) adds a layer of trust beyond the standard session-based authentication. When enforced, the Salesforce server requires the calling client to present a valid CA-signed certificate that matches a certificate stored in the org. This ensures that only authorized systems with the correct private key can establish a connection.
To implement this, the architect must first work with Salesforce support to enable the feature. Once enabled, a Mutual Authentication Certificate must be uploaded to the org, and a specific user profile-cloned for integration purposes-must have the "Enforce SSL/TLS Mutual Authentication" permission enabled. This configuration forces the client to use port 8443 (the dedicated port for mutual TLS) for API calls, providing a highly secure, server-to-server connection that protects against impersonation and unauthorized data access.
NEW QUESTION # 128
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: A
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 # 129
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