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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Evaluate Business Needs | 8% | - Classify data by sensitivity and security level - Assess business growth impact on integration - Identify functional and non-functional requirements - Determine CRM success factors for integration |
| Topic 2: Build Solution | 23% | - Apply data transformation and mapping - Implement API design and security - Build scalable and resilient integration solutions - Implement idempotency and reliability mechanisms |
| Topic 3: Translate Needs to Integration Requirements | 22% | - Evaluate system and process constraints - Determine performance requirements: volume, latency, response time - Create system and integration pattern inventory - Define security and authentication specifications |
| Topic 4: Maintain Integration | 3% | - Define reporting and alerting requirements - Monitor performance and health - Manage updates and change impact |
| Topic 5: Evaluate the Current System Landscape | 16% | - Analyze constraints and pain points in existing systems - Evaluate authentication and authorization requirements - Identify system standards, limitations, boundaries and protocols - Identify regulatory and compliance factors |
| Topic 6: Design Integration Solutions | 28% | - Design error handling, recovery and monitoring - Choose suitable Salesforce APIs and technologies - Select appropriate integration patterns - Define solution components and architecture - Analyze trade-offs, limitations and constraints |
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NEW QUESTION # 83
An integration architect has designed a mobile application for Salesforce users to get data while on the road using a custom user interface (UI). The application is secured with OAuth and is currently functioning well. There is a new requirement where the mobile application needs to obtain the GPS coordinates and store them on a custom geolocation field. The geolocation field is secured with field-level security, so users can view the value without changing it. What should be don4e to meet the requirement?
Answer: A
Explanation:
When a custom mobile application already secured with OAuth needs to update a record in Salesforce, the standard architectural recommendation is to use the REST API. The REST API is optimized for mobile environments because it uses lightweight JSON payloads and follows standard HTTP methods (such as PATCH for updates), which are highly compatible with mobile development frameworks.
In this specific scenario, the architect must address the Field-Level Security (FLS) constraint. Because the geolocation field is set to read-only for users, a standard UI-based update would typically fail. However, when using an inbound REST API call with a properly authorized integration user or via a "System Mode" context (if utilizing a custom Apex REST resource), the system can be configured to bypass UI-level restrictions while maintaining data integrity.
The mobile device captures the coordinates via the device's native GPS capabilities and initiates an inbound call to the Salesforce REST endpoint. Option A (Apex inbound call) is a subset of REST functionality but is only necessary if complex server-side logic is required that the standard REST API cannot handle. Option C is technically incorrect as mobile devices do not typically "receive" callouts from Salesforce in this pattern; they initiate the requests. By leveraging the standard REST API, the architect ensures a scalable, secure, and standardized integration that adheres to Salesforce's mobile-first integration principles.
NEW QUESTION # 84
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 # 85
An integration architect needs to build a solution that will use the Streaming API, but the data loss should be minimized, even when the client re-connects every couple of days. Which two types of Streaming API events should be considered?
Answer: C
Explanation:
In a robust event-driven architecture, "durability" is the ability of a system to retain events so that a subscriber can retrieve them even after being offline. For an architect needing to minimize data loss over "every couple of days," the selection must focus on event types that support a high retention window.
Salesforce provides two modern event types specifically designed for high-scale, durable messaging:
Change Data Capture (CDC): This automatically broadcasts changes to Salesforce records (Create, Update, Delete, Undelete). CDC events are highly durable and are retained in the event bus for 72 hours (3 days).
High-Volume Platform Events: These are custom events defined by the architect. Like CDC, High-Volume Platform Events also provide a 72-hour retention window.
Earlier versions of the Streaming API, such as PushTopic Events and Generic Events (Option C and parts of A), typically offered a 24-hour retention window, which would not satisfy the requirement of a client re-connecting "every couple of days" (potentially 48-72 hours later).
By utilizing CDC and High-Volume Platform Events, the architect can leverage the Replay ID. When the client re-connects, it can send the Replay ID of the last event it successfully processed. Salesforce then "replays" all events that occurred during the client's downtime from that specific point, up to the 72-hour limit. This mechanism ensures zero data loss for planned or unplanned outages lasting up to three days, making it the most resilient choice for the specified requirements.
NEW QUESTION # 86
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: A
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 # 87
Universal Containers (UC) is a global financial company. UC support agents would like to open bank accounts on the spot for customers who inquire about UC products. During the bank account opening process, the agents execute credit checks for the customers through external agencies. At any given time, up to 30 concurrent reps will be using the service to perform credit checks for customers. Which error handling mechanisms should be built to display an error to the agent when the credit verification process has failed?
Answer: A
Explanation:
In a synchronous Request-Reply integration-where a bank agent is waiting for a real-time credit check to open an account-the error handling strategy must balance user experience with system resilience. Handling these errors at the Middleware layer is the architecturally preferred solution for managing complex retry logic and providing a clean response to Salesforce.
If the external credit agency's service is momentarily unavailable, the middleware (such as an ESB or MuleSoft) can automatically retry the request multiple times using a pre-defined strategy (e.g., exponential backoff). This "self-healing" behavior can often resolve transient network issues before the Salesforce agent even realizes there was a problem. If the retries fail, the middleware then returns a structured error message to Salesforce, which is displayed to the agent via the UI.
Option B (Fire and Forget) is unsuitable for this use case because the agent needs the result immediately to proceed with the bank account opening; they cannot afford to wait for a background process to finish hours later. Option C (Mock Service) is a testing tool and has no place in a production environment where real financial decisions are being made. By delegating error management to the middleware, UC ensures that its Salesforce instance remains performant (avoiding long-running request timeo1112uts) while maximizing the chances of a successful credit check through automated, controlled retries.1314
NEW QUESTION # 88
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