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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Platform Integration Architect |
| Exam Number: | Plat-Arch-204 |
| Related Certifications: | Salesforce Certified Application Architect Salesforce Certified Technical Architect |
| Available Languages: | Japanese, English |
| Exam Duration: | 105 minutes |
| Exam Price: | USD 400 (initial), USD 200 (retake) |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 60-65 |
| Passing Score: | 67% |
| Exam Format: | Multiple-select, Scenario-based, Multiple-choice |
| Recommended Training: | Salesforce Integration Architecture Course Architect Journey: Integration Architecture |
| Exam Registration: | Kryterion Webassessor Pearson VUE |
| Sample Questions: | Salesforce Plat-Arch-204 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended: 3–4 years Salesforce platform experience, 1–2 years integration experience, knowledge of APIs, web services and enterprise patterns |
| Official Syllabus URL: | https://trailheadacademy.salesforce.com/certificate/exam-integration-arch---Plat-Arch-204 |
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NEW QUESTION # 38
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: A
Explanation:
When migrating from a legacy landscape to a modern platform like Salesforce, the most immediate technical hurdle is the diversity of system types and communication protocols used by the existing systems.
In a legacy environment, integrations are often not standardized. An architect may encounter systems that communicate via modern REST/SOAP APIs, but they will also likely find older systems that rely on Flat File exchanges (FTP/SFTP), Email-based triggers, or direct Database connections. These "System Types" are a fundamental constraint because they dictate the choice of integration middleware. For example, Salesforce cannot natively poll a file system or read an on-premise database; therefore, an architect must identify these constraints to justify the need for an ETL or ESB tool that can bridge these legacy protocols with Salesforce's API-centric architecture.
While reporting (Option B) and multi-currency (Option C) are important functional requirements for the Salesforce implementation, they do not dictate the integration pattern (e.g., Request-Reply vs. Batch) as much as the technical interface of the source/target systems does. By evaluating the APIs, file systems, and email capabilities of the legacy landscape first, the architect ensures that the chosen integration mechanism-whether it be the Streaming API, Bulk API, or middleware orchestration-is technically capable of actually communicating with the legacy debt.
NEW QUESTION # 39
A customer is evaluating the Platform Events solution and would like help in comparing/contrasting it with Outbound Messaging for real-time/near-real time needs. They expect 3,000 customers to view messages in Salesforce. What should be evaluated and highlighted when deciding between the solutions?12
Answer: C
Explanation:
When comparing Platform Events and Outbound Messaging for a near-real-time architecture, a Salesforce Platform Integration Architect must evaluate fundamental differences in their delivery models and governance. While both provide declarative, asynchronous "Fire-and-Forget" capabilities, their technical constraints differ significantly, particularly regarding scalability and platform limits.
The key architectural highlight in this scenario is that Platform Events operate on a specialized event bus with specific Event Publishing and Event Delivery limits. Unlike Outbound Messaging, which is governed by more general daily outbound call limits (often tied to user licenses), Platform Events have a dedicated allocation for the number of events that can be published per hour and delivered in a 24-hour period to external clients via the Pub/Sub API or CometD. For example, the number of concurrent subscribers to a Platform Event channel is typically capped at 2,000 for standard configurations. Since the customer expects 3,000 customers to view these messages, this limit is a critical evaluation point; the architecture would need to account for this gap, perhaps by using middleware to fan out messages to the larger audience.
In contrast, Outbound Messaging does not have an "Event Delivery" limit in the same sense. It is a point-to-point SOAP-based push mechanism where Salesforce manages retries for up to 24 hours if the receiving endpoint is unavailable. However, it is less flexible for multi-consumer scenarios because it requires a separate configuration for every unique destination.
Regarding the other options: Option A is incorrect because neither system strictly guarantees "exactly-once" delivery without the possibility of duplicates; in fact, Outbound Messaging may deliver a message more than once if it doesn't receive a timely acknowledgment. Option B is incorrect because Platform Events do not have built-in "fault recovery" handled by Salesforce in the same way as Outbound Messaging's automatic retry queue; with Platform Events, it is the subscriber's responsibility to use a Replay ID to retrieve missed events within the 72-hour retention window. Therefore, highlighting the unique delivery and publishing limits is the most vital step for the architect.
NEW QUESTION # 40
A company needs to integrate a legacy on-premise application that can only support SOAP API. After the integration architect evaluates the requirements and volume, they determine that the Fire and Forget integration pattern will be most appropriate for sending data from Salesforce to the external application and getting response back in a strongly-typed format.
Which integration capabilities should be used to integrate the two systems?
Answer: B
Explanation:
When integrating with a legacy SOAP-only application using a Fire and Forget pattern, Salesforce Outbound Messaging is the native, declarative choice.
Outbound Messaging is a platform feature that sends a SOAP message to a designated endpoint when specific criteria are met. It is inherently asynchronous and provides built-in reliability; if the legacy system is offline, Salesforce will automatically retry the delivery for up to 24 hours. This perfectly fits the "Fire and Forget" requirement.
For the strongly-typed response back (Remote Call-In), the Enterprise WSDL is the correct recommendation.1415 Enterprise WSDL: This is a strongly-typed WSDL generated specifically for one org's metadata. It includes specific references to16 custom objects and fields, ensu17ring that the legacy system can communicate with Salesforce using a rigid, predictable data structure.
Partner WSDL (Option C): This is a loosely-typed WSDL designed for developers building tools that must work across many different orgs; it is not ideal for an internal, strongly-typed legacy integration.
While Platform Events (Option B) are a modern alternative, they typically use REST or Streaming APIs, making them a less natural fit for an application that "can only support SOAP". By combining Outbound Messaging and the Enterprise WSDL, the architect provides a robust, SOAP-native solution that satisfies the business's technical constraints and reliability requirements.
NEW QUESTION # 41
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?
Answer: B
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 # 42
Northern Trail Outfitters is planning to perform nightly batch loads into Salesforce using the Bulk API. The CIO wants monitoring recommendations for these jobs. Which recommendation should help meet the requirements?
Answer: B
Explanation:
For monitoring high-volume Bulk API jobs, the standard and most efficient architectural recommendation is to use the native Bulk Data Load Jobs page in Salesforce Setup.
This page provides a comprehensive, out-of-the-box view of all asynchronous API jobs, including their status (Queued, In Progress, Completed, Failed), the number of records processed, and any overall job errors. It allows administrators to download the result files for each batch to see record-level successes and failures without the overhead of custom code or data storage.
Option B is generally discouraged for high-volume nightly loads. Since the Bulk API is designed to bypass standard synchronous logic for performance, writing errors to a custom object for millions of records would consume significant data storage and could trigger additional governor limit issues during the load itself. Option C is ineffective for Bulk API monitoring; debug logs capture Apex execution but do not monitor the background processing of asynchronous Bulk API batches, and they would quickly become overwhelmed by the volume of data. For enterprise-grade monitoring9, the native UI provides the necessary visibility into job health with zero impact on platform performance or storage.
NEW QUESTION # 43
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