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[Hardware] Real Plat-Arch-204 Question, Plat-Arch-204 New Dumps Questions

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【Hardware】 Real Plat-Arch-204 Question, Plat-Arch-204 New Dumps Questions

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In the era of rapid changes in the knowledge economy, do you worry that you will be left behind? Let's start by passing the Plat-Arch-204 exam. Getting a Plat-Arch-204 certificate is something that many people dream about and it will also bring you extra knowledge and economic benefits. As we all know, if you want to pass the Plat-Arch-204 Exam, you need to have the right method of study, plenty of preparation time, and targeted test materials. However, most people do not have one or all of these. That is why I want to introduce our Salesforce original questions to you.
Salesforce Plat-Arch-204 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Design Integration Solutions: This domain centers on selecting integration patterns, designing complete solutions with appropriate components, understanding trade-offs and limitations, choosing correct Salesforce APIs, and determining required standards and security mechanisms.
Topic 2
  • Evaluate the Current System Landscape: This domain covers analyzing existing technical environments to understand current systems, their standards, protocols, limitations, and boundaries, while identifying constraints and authentication
  • authorization requirements.
Topic 3
  • Evaluate Business Needs: This domain addresses gathering functional and non-functional requirements, classifying data by sensitivity, identifying CRM success factors, and understanding how business growth and regulations impact integration choices.
Topic 4
  • Maintain Integration: This domain focuses on monitoring integration performance, defining error handling and recovery procedures, implementing escalation processes, and establishing reporting needs for ongoing integration health monitoring.
Topic 5
  • Translate Needs to Integration Requirements: This domain involves converting business needs into technical specifications by documenting systems and patterns, evaluating constraints, defining security requirements, and determining performance needs like volumes, response times, and latency.

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Salesforce Certified Platform Integration Architect Sample Questions (Q130-Q135):NEW QUESTION # 130
Universal Containers (UC) works with third-party agents on banner initial design concepts. The design files (2.5 GB) are stored in an on-premise file store. UC wants to allow agencies to view these files in the community. Which solution should an integration architect recommend?
  • A. Use Salesforce Files to link the files to Salesforce records and display the record and the files in the community.
  • B. Create a Lightning component with a Request and Reply integration pattern to allow the community users to download the design files.
  • C. Create a custom object to store the file location URL; when a community user clicks on the file URL, redirect the user to the on-premise system file location.
Answer: C
Explanation:
When dealing with extremely large files, such as the 2.5 GB design files mentioned, an architect must consider the platform's file size limits and storage costs. Salesforce Files have a maximum upload size of 2 GB through most interfaces, making Option B technically unfeasible for a 2.5 GB file. Furthermore, storing numerous large files natively in Salesforce would lead to excessive storage consumption and costs.
The most efficient and cost-effective approach is Data Virtualization or Redirection. By creating a custom object to store the file location URL (Option C), the actual file remains in the performant on-premise file store. When the community user needs to access the design, they are redirected to the source system, which handles the massive data transfer. This fulfills the requirement to "view" the files without the overhead of moving gigabytes of data through the Salesforce infrastructure. Option A is less ideal because a 2.5 GB download over a standard Request-Reply pattern would likely lead to timeouts and a poor user experience.

NEW QUESTION # 131
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?
  • A. When subscribing to Salesforce Event Bus, ReplayID is used with a value of -1 to be able to see new events.
  • B. High-volume event messages are stored for 72 hours (3 days).
  • C. High-volume event messages are stored for 24 hours (1 day).
Answer: B
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 # 132
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 Outbound Messaging to automatically retry failed service calls.
  • B. Use middleware queuing and buffering to insulate Salesforce from1920 system outages.
  • C. Use Platform Event replayId and custom scheduled Apex process to retrieve missed events.
Answer: B
Explanation:
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.

NEW QUESTION # 133
Northern Trail Outfitters (NTO) wants to improve the quality of callouts from Salesforce to its REST APIs by adhering to RAML (REST API Markup Language) specifications. The RAML specs serve as interface contracts. Which design specification should the integration architect include to ensure that Apex REST API Clients' unit tests confirm adherence to the RAML specs?
  • A. Call the HttpCalloutMock implementation from the Apex REST API Clients.
  • B. Call the Apex REST API Clients in a test context to get the mock response.
  • C. Require the Apex REST API Clients to implement the HttpCalloutMock.
Answer: C
Explanation:
In Salesforce, you cannot perform real HTTP callouts during unit tests. To test integration logic, developers must use the HttpCalloutMock interface to simulate the API's response. To ensure that the Apex code adheres to the RAML contract, the architect should require that the test mock implementation strictly follows the RAML specifications.
By requiring the Apex REST API Clients to implement the HttpCalloutMock (or more specifically, creating a mock class that implements it), the developer creates a controlled testing environment. The mock class should be coded to return a payload that matches the RAML-defined structure (fields, data types, and status codes). When the test runs, the Apex client receives this "contract-compliant" response. The unit test then uses assertions to verify that the Apex code correctly parses and handles this specific data structure.
Option B is technically imprecise; you don't "call" the mock from the client, you provide the mock to the test runtime using Test.setMock(). Option C describes the general process of testing but does not address the "design specification" needed to ensure contract adherence. By mandating a mock implementation that mirrors the RAML contract, the architect ensures that if the API contract changes in the RAML file, the unit tests will fail if the Apex code is not updated to match, thereby maintaining high integration quality and preventing runtime errors.

NEW QUESTION # 134
A customer of Salesforce has used Platform Events to integrate their Salesforce instance with an external third-party artificial intelligence (AI) system. The AI system provides a prediction score for each lead that is received by Salesforce. Once the prediction score is received, the lead information is saved to Platform Events for other processes. The trigger on the Platform Events has failed ever since it was rolled out to production. Which type of monitoring should the integration consultant have considered to monitor this integration?
  • A. Validate that the Platform Event definition matches lead's definition.
  • B. Monitor Platform Events created per hour limits across the Salesforce instance.
  • C. Set up debug logs for Platform Event triggers to monitor performance.
Answer: C
Explanation:
Troubleshooting failures in Platform Event-triggered logic is challenging because these triggers execute under the "Automated Process" system user, making them invisible to standard user-level monitoring. To diagnose why a trigger is failing in production, an Integration Architect must set up debug logs specifically for that trigger or the automated process user.
Debug logs provide a granular view into the execution execution path, including Apex errors, governor limit consumption, and specific DML failures. Without these logs, it is impossible to determine if the failure is due to a null pointer exception, a validation rule violation, or a record locking conflict.678 Option B is a design-time validation step; while important, it would not help mon9itor or troubleshoot a runtime failure in a deployed trigger. Option C focuses on high-level consumption limits; while reaching the "Created Per Hour" limit would prevent events from1011 being published, it would not explain why an existing trigger is failing once the event has already arrived in the bus. By proactively establishing debug logs for the integration's triggers, the consultant can pinpoint the exact line of code or system constraint causing the failure, ensuring a faster "Mean Time to Repair" (MTTR) for critical AI-driven business processes.

NEW QUESTION # 135
......
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