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Title: Newest Clearer Plat-Arch-204 Explanation - 100% Pass Plat-Arch-204 Exam [Print This Page]
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Title: Newest Clearer Plat-Arch-204 Explanation - 100% Pass Plat-Arch-204 Exam
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Salesforce Plat-Arch-204 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • Build Solution: This domain covers implementing integrations including API design considerations, choosing outbound methods, building scalable solutions, implementing error handling, creating security solutions, and ensuring resilience during system updates.
Topic 4
  • 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.

Salesforce Certified Platform Integration Architect Sample Questions (Q55-Q60):NEW QUESTION # 55
Northern Trail Outfitters (NTO) has an affiliate company that would like immediate notifications of changes to opportunities in the NTO Salesforce Instance. The affiliate company has a CometD client available. Which solution is recommended in order to meet the requirement?
Answer: A
Explanation:
To provide near real-time notifications to a client that already supports CometD, an Integration Architect should leverage the Streaming API. While Platform Events are a modern alternative, PushTopic Events are specifically designed to stream changes to Salesforce records based on a defined SOQL query.
A PushTopic event is triggered when a record is created, updated, deleted, or undeleted. By creating a PushTopic on the Opportunity object, NTO defines the criteria (fields and record states) that should trigger a message to the 1subscriber. The affiliate's CometD client can then subscribe to this topic's channel (e.g., /topic/OpportunityUpdates) to receive the data payload instantly.
Option A is incorrect because "Accept CometD API Requests" is not a standard checkbox or configuration within a Connected App; authentication is handled via standard OAuth flows, but the streaming channel must still be defined. Option C describes a Polling mechanism, which is the architectural opposite of the requested "immediate notification" and would unnecessarily consume SOAP API limits while introducing latency. By using a PushTopic, NTO ensures a decoupled, event-driven architecture that scales effectively for notification-only use cases while respecting the technical capabilities of the affiliate's existing CometD-compatible infrastructure.

NEW QUESTION # 56
A customer is migrating from an old legacy system to Salesforce and wants to integrate all existing systems currently working with the legacy application. Which constraint/pain-point should an integration architect consider when choosing the integration pattern/mechanism?
Answer: B
Explanation:
When designing an integration architecture for a legacy migration, Data volume and processing volume are the primary technical constraints that dictate the choice of integration pattern.
Salesforce is a multi-tenant environment with strict governor limits. High data volumes can quickly exhaust synchronous request limits, API quotas, and storage allocations. An architect must evaluate:
Synchronous vs. Asynchronous: High-volume processing often requires asynchronous patterns (like Batch or Fire-and-Forget) to avoid blocking user actions and hitting concurrent request limits.
Bulk vs. REST: If millions of records need to be migrated or synchronized daily, the Bulk API is the only scalable mechanism, as standard REST or SOAP APIs are not optimized for massive datasets.
Data Persistence: Large volumes of read-only data might be better served through Data Virtualization (Salesforce Connect) to avoid consuming expensive Salesforce storage.
While reporting (Option C) and multi-currency (Option B) are important business requirements, they are functional configurations within Salesforce and do not drive the technical "plumbing" of the integration as heavily as volume does. By prioritizing the evaluation of volume and processing needs, the architect ensures that the integration is stable, performant, and capable of scaling as the business grows.

NEW QUESTION # 57
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?
Answer: C
Explanation:
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).

NEW QUESTION # 58
An integration architect has built a Salesforce application that integrates multiple systems and keeps them synchronized via Platform Events. What is taking place if events are only being published?
Answer: C
Explanation:
The timing of Platform Event publishing is a critical detail for an Integration Architect, as it affects data consistency and transaction integrity. In Salesforce, the default and most common behavior for publishing Platform Events from Apex is "ublish After Commit." When an architect chooses the "ublish After Commit" setting (defined at the event level), the events are held in a buffer and are only released to the event bus after the Apex transaction completes successfully. This ensures that if the database transaction fails and rolls back, the event-which might trigger external actions-is never sent. This prevents "ghost" events where an external system is told to process data that was never actually saved to the Salesforce database.
The question implies a standard scenario where events are being "published" into the bus. In this state, the events have passed the transaction boundary. If the events were only "being published from Apex" (Option C), it doesn't describe the state of the delivery or the transaction. Option B is technically incorrect for standard event publishing logic, as Salesforce explicitly separates the event bus from the database commit to maintain atomicity.
Understanding this "After Commit" behavior is vital when designing synchronization patterns. If the architect requires the event to be sent regardless of whether the transaction succeeds (e.g., for logging a failure), they would need to configure the event as "ublish Immediately." However, in a standard synchronization use case where events are "only being published," it signifies that the source transaction has finalized, and the messages are now available for subscribers (like middleware or other Salesforce orgs) to consume.
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NEW QUESTION # 59
A customer is migrating from an old legacy system to Salesforce. As part of the modernization effort, the customer would like to integrate all existing systems that currently work with its legacy application with Salesforce. Which constraint/pain-point should an integration architect consider when choosing the integration pattern/mechanism?
Answer: B
Explanation:
When migrating from a legacy environment to a multi-tenant cloud platform like Salesforce, Data volume and processing volume represent the most critical technical constraints. Legacy systems often operate without the strict governor limits found in Salesforce, meaning they may push large datasets or high-frequency updates that could easily overwhelm standard Salesforce APIs.
An integration architect must evaluate these volumes to determine the appropriate integration pattern:
Pattern Selection: If the daily volume involves millions of records, the architect must recommend the Bulk API rather than standard REST or SOAP APIs to avoid hitting daily API limits.
Synchronous vs. Asynchronous: High processing volumes often necessitate asynchronous patterns (such as Fire-and-Forget or Batch) to prevent user-interface lag and "Concurrent Request Limit" errors.
Data Virtualization: If the legacy data volume is massive but only needs to be viewed occasionally, the architect might consider Salesforce Connect to avoid consuming expensive internal data storage.
While reporting (Option A) and multi-currency (Option C) are important functional requirements, they do not fundamentally dictate the technical "plumbing" or scalability of the integration architecture. By prioritizing the analysis of volume and processing needs, the architect ensures the new modernization effort is stable, performant, and capable of scaling as the business grows within the bounds of the Salesforce platform.

NEW QUESTION # 60
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