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| Section | Objectives |
|---|---|
| Topic 1: Data Integration and Management | - Data synchronization strategies
|
| Topic 2: Event-Driven Architecture | - Event messaging systems
|
| Topic 3: Integration Architecture Design | - Integration patterns and best practices
|
| Topic 4: Error Handling and Monitoring | - Observability
|
| Topic 5: API and Connectivity | - Authentication and security
|
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問題 #69
A customer's enterprise architect has identified requirements around caching, queuing, error handling, alerts, retries, event handling, etc. The company has asked the integration architect to help fulfill such aspects with its Salesforce program. Which recommendation should the integration architect make?
答案：C
解題說明：
When an enterprise architect identifies infrastructure-level requirements such as caching, queuing, and complex event handling, it signals a need for a dedicated integration layer. Salesforce is an engagement platform, not a dedicated message broker or Enterprise Service Bus (ESB). For complex event handling in a publish/subscribe scenario, the architect should recommend leveraging middleware to act as the central nervous system of the integration landscape.
The middleware provides a robust environment to manage the lifecycle of a message. It can receive a single event from a publisher (like Salesforce via Platform Events) and then route that message to multiple active subscribers. This decoupling ensures that Salesforce doesn't need to manage the connection state or retry logic for every downstream system. Middleware tools are specifically designed to handle "Quality of Service" (QoS) requirements like guaranteed delivery, message sequencing, and dead-letter queuing, which are difficult to manage natively at scale within Salesforce limits.
Option A is incorrect because shifting from Fire-and-Forget to Request-Reply generally decreases performance and scalability due to the synchronous nature of the wait time. Option C is also incorrect; protocol translation (e.g., SOAP to REST) and heavy message transformation are exactly what middleware tools are built for. By performing these tasks in middleware, you conserve Salesforce's Apex CPU limits and maintain a cleaner, more maintainable CRM environment. Therefore, using middleware for routing and event handling is the standard architectural recommendation for a mature enterprise program.
問題 #70
Northern Trail Outfitters has had an increase in requests from other business units to integrate opportunity information with other systems from Salesforce. The developers have started writing asynchronous @future callouts directly into the target systems. The CIO is concerned about the viability of this approach and scaling for future growth. What should be done to mitigate the CIO's concerns?
答案：B
解題說明：
The CIO's concern regarding "viability" and "scaling" is rooted in the risks associated with tightly coupled, point-to-point integrations. Using @future methods for direct callouts creates a "spaghetti" architecture where Salesforce must manage the specific endpoints, authentication, and error logic for every external system.
The architect should recommend implementing an Enterprise Service Bus (ESB). An ESB acts as a centralized middleware layer that provides mediation, routing, and orchestration. By moving the integration logic to an ESB, Salesforce only needs to send a single message to the bus. The ESB then takes responsibility for delivering that data to multiple business units and external systems. This decouples Salesforce from the downstream systems; if a target system changes its API or is replaced, only the ESB configuration needs to be updated, not the Salesforce Apex code.
While External Services (Option A) provide a low-code way to call APIs, they still represent point-to-point connections and do not solve the broader orchestration and scaling challenges. ETL tools (Option C) are designed for bulk data movement and would not satisfy the need for the near real-time updates that the existing callout logic likely supports. An ESB provides the "quality of service" features-such as guaranteed delivery, retries, and protocol transformation-that are necessary for a growing enterprise to maintain a stable and scalable integration landscape.
問題 #71
Northern Trail Outfitters (NTO) has recently changed its Corporate Security Guidelines requiring all cloud applications to pass through a secure firewall before accessing on-premise resources. NTO is evaluating middleware solutions. Which consideration should an integration architect evaluate before choosing a middleware solution?
答案：A
解題說明：
When corporate guidelines mandate a firewall-protected entry point for cloud traffic, the middleware architecture must include a component capable of residing in a Demilitarized Zone (DMZ) or perimeter network. The architect must evaluate the solution's API Gateway capabilities.
A secure API Gateway acts as the intermediary that terminates external (cloud) TLS connections and inspects incoming traffic before proxying it to internal systems. It allows the security team to implement:
IP Whitelisting: Ensuring only Salesforce's IP ranges can access the gateway.
Mutual Authentication: Using certificates to verify that the request is genuinely coming from the Salesforce org.
Rate Limiting: Protecting on-premise resources from being overwhelmed by cloud requests.
Option A (OAuth) is an authorization framework and does not satisfy the network-level firewall requirement on its own. Option B (ODBC) is an internal database protocol that should generally never be exposed to a cloud-facing firewall due to security risks. By prioritizing a solution with a hardened API Gateway, the architect ensures that NTO meets its new security mandates while providing a scalable and secure bridge for Salesforce to access back-office services.
問題 #72
A customer imports data from an external system into Salesforce using Bulk API. These jobs have batch sizes of 2,000 and are run in parallel mode. The batches fail frequently with the error "Max CPU time exceeded". A smaller batch size will fix this error. What should be considered when using a smaller batch size?
答案：B
解題說明：
The Bulk API is designed to process massive datasets by breaking them into smaller batches that Salesforce processes asynchronously. When a batch fails with the "Max CPU time exceeded" error, it typically indicates that the complexity of the operations triggered by the record-such as Apex triggers, Flows, or complex sharing calculations-exceeds the 10,000ms limit within a single transaction.
Reducing the batch size is the standard architectural remedy because it reduces the number of records processed in a single transaction, thereby lowering the total CPU time consumed by those records. However, the architect must consider the impact on the overall throughput and execution time.
When batch sizes are smaller, the total number of batches required to process the same dataset increases. For instance, moving from a batch size of 2,000 to 200 for a 1-million-record dataset increases the number of batches from 500 to 5,000. Each batch carries its own overhead for initialization and finalization within the Salesforce platform. Consequently, while the individual batches are more likely to succeed, the total time required to complete the entire job will increase.
The architect should also be aware of the daily limit on the total number of batches allowed (typically 15,000 in a 24-hour period). While Option C mentions API request limits, the Bulk API is governed more strictly by its own batch limits. Option B is less likely because "parallel mode" naturally manages concurrency. Thus, the primary trade-off the architect must present to the business is a gain in reliability (successful processing) at the cost of total duration (increased sync time).
問題 #73
Northern Trail Outfitters has a registration system that is used for workshops offered at its conferences. Attendees use Salesforce Community to register for workshops, but the scheduling system manages workshop availability based on room capacity. It is expected that there will be a big surge of requests for workshop reservations when the conference schedule goes live. Which Integration pattern should be used to manage the influx in registrations?
答案：A
解題說明：
When dealing with a "big surge" or high-volume influx of requests, a synchronous pattern like Request and Reply (Option A) can lead to significant performance bottlenecks. In a synchronous model, each Salesforce user thread must wait for the external scheduling system to respond, which could lead to "Concurrent Request Limit" errors during peak times.
The Remote Process Invocation-Fire and Forget pattern is the architecturally sound choice for managing surges. In this pattern, Salesforce captures the registration intent and immediately hands it off to an asynchronous process or a middleware queue. Salesforce does not wait for the external system to process the room capacity logic; instead, it receives a simple acknowledgment that the message was received.23 This pattern decouples the front-end user experience from the back-end processing limits. Middleware can then "drip-feed" these registration4s into the scheduling system at a rate it can handl5e. If the scheduling system becomes overwhelmed or goes offline, the messages remain safely in the queue. Option C (Batch) is unsuitable because users expect near real-time feedback on their registration attempt, even if the final confirmation is sent a few minutes later. By utilizing Fire and Forget, NTO ensures a responsive Community Experience during the critical launch window while maintaining system stability.
問題 #74
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