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| Section | Objectives |
|---|---|
| Topic 1: API and Connectivity | - Salesforce APIs
|
| Topic 2: Integration Architecture Design | - Middleware and integration strategies
|
| Topic 3: Data Integration and Management | - Data quality and governance
|
| Topic 4: Event-Driven Architecture | - Event messaging systems
|
| Topic 5: Error Handling and Monitoring | - Observability
|
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NEW QUESTION # 62
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: A
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 # 63
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: B
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 # 64
Northern Trail Outfitters has recently implemented middleware for orchestration of services across platforms. The Enterprise Resource Planning (ERP) system being used requires transactions be captured near real-time at a REST endpoint initiated in Salesforce when creating an Order object. Additionally, the Salesforce team has limited development resources and requires a low-code solution. Which option should fulfill the use case requirements?12
Answer: B
Explanation:
To satisfy a requirement for near real-time updates to an ERP system while adher9ing to a low-code constraint, the architect must leverage Salesforce's modern declara10tive automation tools. The goal is to initiate an outbound signal that the existing middleware can then orchestrate and deliver to the ERP's REST endpoint.
The Remote Process Invocation-Fire and Forget pattern is perfectly suited for this scenario. In this pattern, Salesforce sends a message to an external system and does not wait for a functional response. This is ideal for "capturing" transactions in an ERP where the primary goal is record synchronization rather than a real-time calculation return. By using Flow Builder, the team can implement a record-triggered flow on the Order object. This flow can be configured to execute "Actions" that send data to the middleware via External Services or standard HTTP Callouts (Beta/GA features in modern Flow), which requires zero Apex coding.
Option B, Outbound Messaging, is a legacy declarative tool that is highly reliable but has a significant limitation: it natively sends messages in SOAP format. Since the requirement specifically specifies a REST endpoint, using Outbound Messaging would require additional transformation logic in the middleware, making it a less direct architectural fit than a modern Flow-based REST call. Option C, Change Data Capture (CDC), is a highly scalable, event-driven mechanism, but it is typically considered more complex to implement and maintain. It requires the middleware to manage "Replay IDs" and subscribe to a streaming channel, which often requires more specialized development effort on the middleware side compared to a simple HTTP POST from a Flow. For a team with limited development resources, Flow Builder provides the most accessible and maintainable path to achieving near real-time integration.
NEW QUESTION # 65
A company's cloud-based single page application consolidates data local to the application with data from on-premise and Third-party systems. The diagram below typifies the application's combined use of synchronous and asynchronous calls. The company wants to use the average response time of its application's user interface as a basis for certain alerts. For this purpose, the following occurs:
Log every call start and finish date and time to a central analytics data store.
Compute response time uniformly as the difference between the start and finish date and time (A to H in the diagram).
Which computation represents the end-to-end response time from the user's perspective?
Answer: A
NEW QUESTION # 66
UC has an API-led architecture with three tiers. Requirement: return data to systems of engagement (mobile, web, Salesforce) in different formats and enforce different security protocols. What should the architect recommend?
Answer: B
Explanation:
In a standard API-led connectivity model, the First Tier (Experience APIs) is responsible for tailoring data for specific systems of engagement.
The Experience APIs take the core data from the lower tiers and transform it into the specific return formats (e.g., JSON for mobile, XML for legacy web) and security protocols (e.g., OAuth for Salesforce, API Keys for web) required by each consumer. Option B correctly identifies that these transformations and security enforcements should happen at this outer layer. While an API Gateway (Option A) can provide generic security and rate limiting, it is the Experience API layer that provides the functional transformation and specific protocol requirements defined by the business needs of the engagement systems.
NEW QUESTION # 67
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