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NEW QUESTION # 44
An enterprise customer is planning to implement Salesforce to support case management.
Below is their current system landscape diagram. Considering Salesforce capabilities, what should the integration architect evaluate when integrating Salesforce with the current system landscape?
Answer: A
Explanation:
An Integration Architect's primary responsibility when evaluating a landscape for a new Salesforce implementation is to identify the system of record for each business process and determine which legacy systems will be replaced by Salesforce. In this scenario, the customer is implementing Salesforce specifically to support case management.
According to the provided landscape diagram, the Case Management System currently exists as a standalone entity. Since Salesforce Service Cloud provides native, best-in-class case management capabilities, this legacy system is the primary candidate for retirement. Retiring the legacy Case Management system avoids data fragmentation and ensures that Salesforce serves as the single source of truth for support interactions.
However, for Salesforce to function effectively as a new case management hub, it must integrate with the remaining surrounding systems:
Email Management System: This system likely handles inbound customer communications. An architect must evaluate integrating this with Salesforce (via Email-to-Case or a specialized connector) so that incoming emails automatically generate or update cases.
Order Management System (OMS): Support agents often need to view order history or status to resolve customer inquiries. Integrating Salesforce with the OMS allows for a 360-degree view, enabling agents to see relevant order data directly within the Salesforce case console.
Data Warehouse: For long-term reporting, trend analysis, and a unified customer profile, case data from Salesforce needs to be pushed to the Data Warehouse. This ensures that the Analytics and Business Intelligence Tool downstream can report on support metrics alongside other enterprise data.
Therefore, the architect should evaluate integrations with the Data Warehouse, Order Management, and Email Management System. Option B and C are incorrect because they suggest integrating with the "Case Management System," which is the very system being superseded by Salesforce's native capabilities. By focusing on the integration of these three supporting systems, the architect ensures a seamless transition where Salesforce is fully enriched with the necessary external data to drive support excellence.
NEW QUESTION # 45
A new Salesforce program requires data updates between internal systems and Salesforce. Which relevant detail should an integration architect seek to solve for integration architecture needs?
Answer: C
Explanation:
In the "Discovery" phase of integration architecture, the architect must translate abstract business needs into technical requirements. The most critical variables that define the Integration Pattern are Timing and Volume.
An architect cannot choose between the REST API, Streaming API, Bulk API, or Outbound Messaging without knowing:
Latency Requirements: Does the business need the update in 200 milliseconds (Synchronous), 2 minutes (Near Real-Time), or 24 hours (Batch)?
Frequency: Is the data updated every time a user clicks a button, or once at the end of the day?
Volume: Are we moving 10 records at a time or 10 million?
Option A focuses on UI/UX and licensing, which are project management concerns. Option B focuses on resource allocation and governance. While important for the project, they do not inform the technical design of the data flow.
By specifically seeking out Timing aspects (Synchronous vs. Asynchronous) and Update Frequency, the architect can apply the Salesforce Integration Decision Matrix. For instance, a "Real-time" requirement for small volumes leads to a Request-Reply pattern via Apex Callouts. A "Nightly" requirement for large volumes leads to a Batch Data Synchronization pattern via the Bulk API. Identifying these "Non-Functional Requirements" (NFRs) early is the only way to ensure the architecture is scalable and stays within platform governor limits.
NEW QUESTION # 46
Northern Trail Outfitters wants to use Salesforce as a front end for creating accounts using the lead-to-opportunity process. An order is created in Salesforce when the opportunity is Closed/Won, but the back-end Enterprise Resource Planning (ERP) system is the data master for order. The customer wants to be able to see within Salesforce all the stages of order processing like Order Created, Order Shipped, and Order Paid that are within the retention window. Which message durability consideration should an integration architect make when designing a solution to meet these business requirements?
Answer: A
Explanation:
When designing a solution that requires Salesforce to receive and display updates from a back-end ERP (such as order status changes), message durability is a critical factor for ensuring data consistency. In an event-driven architecture using Platform Events or Change Data Capture (CDC), Salesforce utilizes an event bus to handle these incoming notifications.
For high-volume event messages, the Salesforce platform provides a native 72-hour (3-day) retention window. This is a significant architectural advantage for several reasons:
System Resilience: If the Salesforce org or the integration middleware experiences a temporary disruption or is undergoing maintenance, the event messages published by the ERP remain stored in the bus for up to 3 days.
Data Recovery: Once the connection is restored, the subscribing system (Salesforce) can use the Replay ID to catch up on any missed events from the last 72 hours, ensuring that order stages like "Order Shipped" or "Order Paid" are not missed.
SLA Management: This 3-day window exceeds the 24-hour limit of older technologies like PushTopics or Outbound Messaging (Option A), providing more breathing room for disaster recovery scenarios.
While ReplayID -1 (Option C) is used to subscribe only to new events published after the subscription starts, it does not address the durability or retention of historical events needed for recovery. By highlighting the 72-hour retention window, the integration architect provides a design that is robust against outages and guarantees that the "System of Engagement" (Salesforce) stays synchronized with the "System of Record" (ERP).
NEW QUESTION # 47
A company uses Customer Community for course registration. The payment gateway takes more than 30 seconds to process transactions. Students want results in real time to retry if errors occur. What is the recommended integration approach?
Answer: B
Explanation:
Standard synchronous Apex callouts have a timeout limit, and more importantly, Salesforce limits the number of long-running requests (those lasting longer than 5 seconds) that can execute concurrently. If a payment gateway consistently takes 30 seconds, a few simultaneous users could easily exhaust the org's concurrent request limit, causing the entire system to stop responding.
The Continuation pattern (Option C) is designed specifically for this "long-wait" scenario. It allows the Apex request to be suspended while waiting for the external service to respond, freeing up the Salesforce worker thread to handle other users. Once the gateway responds, the suspended process resumes and returns the result to the student's browser. This provides the "real-time" experience required for the student to retry immediately without the risk of bringing down the entire community due to thread exhaustion.
NEW QUESTION # 48
An integration architect has been tasked with integrating Salesforce with an on-premises system. Due to some established policies, this system must remain on-premises. What should the integration architect use to build a solution for this requirement?
Answer: C
Explanation:
When data must reside on-premises due to security or compliance policies, but needs to be visible and actionable in Salesforce, the architect should recommend Data Virtualization via Salesforce Connect.
Salesforce Connect allows Salesforce to treat external data as if it were stored natively in the org without ever moving the data into the Salesforce cloud.28 This is achieved by creating External Objects that map to the on-premises data structures. For this to work seamlessly, the on-premises system or a middleware layer must expose the data through a compatible protocol, most commonly the Open Data Protocol (OData).
Option C is incorrect because Salesforce Connect does not natively support ODBC directly; ODBC is a low-level driver protocol, whereas OData is a web-based RESTful protocol designed for cross-platform data exchange. Option B is irrelevant as the data is stated to be on-premises, not in Heroku. By using Salesforce Connect with OData, the architect satisfies the "stay on-premises" policy while providing Salesforce users with real-time, bidirectional access to the data, supporting features like Global Search and related lists without the overhead of data synchronization.
NEW QUESTION # 49
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