最新Plat-Arch-204題庫資源 & Plat-Arch-204測試
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Salesforce Plat-Arch-204 考試大綱:
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熱門的最新Plat-Arch-204題庫資源&認證考試的領導者材料和快速下載Plat-Arch-204測試
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最新的 Salesforce Certified Administrator Plat-Arch-204 免費考試真題 (Q118-Q123):
問題 #118
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?
- A. Handle integration errors in the middleware in case the verification process is down, then the middleware should retry processing the request multiple times.
- B. In case the verification process is down, use mock service to send the response to the agent.
- C. In case the verification process is down, use fire and forget mechanism instead of Request and Reply to allow the agent to get the response back when the service is back online.
答案:A
解題說明:
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
問題 #119
Northern Trail Outfitters needs to present shipping costs and estimated delivery times to its customers. Shipping services used vary by region and have similar but distinct service request parameters. Which integration component capability should be used?
- A. Apex REST Service to implement routing logic to the various shipping service
- B. Enterprise Service Bus to determine which shipping service to use and transform requests to the necessary format
- C. Enterprise Service Bus user interface to collect shipper-specific form data
答案:B
解題說明:
When dealing with multiple external service providers (like different regional shippers) that have varying API requirements, the most scalable architectural choice is an Enterprise Service Bus (ESB) or middleware solution. This scenario describes a classic "Orchestration" and "Transformation" use case.
An ESB excels at:
1. Routing/Mediation: The ESB can receive a single, standardized request from Salesforce ("Get Shipping Rates") and use business logic to determine which regional carrier's API should be called.
2. Transformation: Each carrier likely has a distinct XML or JSON schema. The ESB can transform the common data model sent by Salesforce into the specific format required by the chosen shipper.
3. Protocol Bridging: If one shipper uses SOAP and another uses REST, the ESB handles these technical differences, allowing Salesforce to interact with a single, simplified interface.
Option A (Apex REST) would require the Salesforce team to maintain custom code for every new shipping provider added, leading to high technical debt and maintenance challenges. Option C is incorrect because an ESB is a back-end infrastructure component, not a user interface tool.
By utilizing an ESB, Northern Trail Outfitters decouples Salesforce from the complexities of the shipping providers' APIs. This "Hub and Spoke" model means that adding a new regional shipper in the future only requires configuration within the ESB, rather than a full code deployment in Salesforce. This provides the agility and architectural separation necessary for a global retail operation.
問題 #120
Northern Trail Outfitters submits orders to the manufacturing system web service. Recently, the system has experienced outages that keep service unavailable for several days. Which solution should an integration architect recommend to handle errors during these types of service outages?1718
- A. Use middleware queuing and buffering to insulate Salesforce from1920 system outages.
- B. Use Outbound Messaging to automatically retry failed service calls.
- C. Use Platform Event replayId and custom scheduled Apex process to retrieve missed events.
答案:A
解題說明:
When a target system experiences prolonged outages (lasting "several days"), point-to-point integrations built directly within Salesforce are prone to failure because they lack the persistence required for long-term retries. The architecturally sound recommendation is to utilize middleware queuing and buffering to "insulate" Salesforce from the target system's instability.
In this architecture, Salesforce sends the order to a middleware layer (such as an ESB or iPaaS). The middleware immediately acknowledges receipt of the message, freeing up Salesforce resources. If the manufacturing system is offline, the middleware stores the order in a persistent Message Queue. Unlike Salesforce Outbound Messaging (Option B), which only retries for up to 24 hours, enterprise middleware can be configured to hold messages for days or even weeks.
Middleware also provides sophisticated Quality of Service (QoS) features, such as "Dead Letter Queues" for manual intervention and customized retry schedules (e.g., retrying every hour instead of every few minutes). This decoupling ensures that Salesforce users can continue to create and "send" orders without seeing technical errors, even while the backend manufacturing system is down. Once the manufacturing service is restored, the middleware "drains" the queue, delivering all buffered orders in the correct sequence. This strategy provides the highest level of reliability and resilience for mission-critical business processes.
問題 #121
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?
- A. Smaller batch size may increase time required to execute bulk jobs.
- B. Smaller batch size may exceed the concurrent API request limits.
- C. Smaller batch size can trigger "Too many concurrent batches" error.
答案:A
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 #122
Universal Containers (UC) is decommissioning its legacy CRM system and migrating data to Salesforce. The data migration team asked for a recommendation to optimize the performance of the data load. Which approach should be used to meet the requirement?
- A. Use Bulk API to process jobs in serial mode.
- B. Use Bulk API to process jobs in parallel mode.
- C. Contact Salesforce Support to schedule performance load.
答案:B
解題說明:
For large-scale data migrations, the Bulk API is the primary architectural tool for high-performance loading. To maximize throughput and "optimize performance," the architect should recommend processing jobs in parallel mode.
In parallel mode, Salesforce processes multiple batches of a job simultaneously, taking advantage of the multi-tenant platform's concurrent processing capabilities. This significantly reduces the total time required for a massive data migration compared to serial mode (Option B), which processes batches one by one.
However, the architect must warn the team about potential lock contention. If multiple parallel batches attempt to update the same parent record or participate in complex sharing calculations at the same time, "Unable to lock row" errors may occur. To mitigate this while maintaining parallel speed, the data should be sorted by Parent ID to ensure that batches do not overlap on the same records. Option A is rarely necessary for standard migrations unless the volume exceeds extreme thresholds. Parallel Bulk API is the standard "best practice" for ensuring the migration completes within the allotted cutover window.
問題 #123
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