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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Platform Integration Architect |
| Exam Number: | Plat-Arch-204 |
| Exam Duration: | 105 minutes |
| Certificate Validity Period: | 3 years |
| Related Certifications: | Salesforce B2C Solution Architect Salesforce System Architect |
| Passing Score: | 67% |
| Real Exam Qty: | 60-65 |
| Available Languages: | English |
| Exam Price: | USD 400 |
| Exam Format: | Multiple-choice, Multiple-select |
| Sample Questions: | Salesforce Plat-Arch-204 Sample Questions |
| Exam Way: | Online (proctored) or Onsite at a testing center |
| Pre Condition: | One year of Integration Architecture experience and three to four years of experience on Salesforce platform |
| Official Syllabus URL: | https://trailhead.salesforce.com/en/credentials/integrationarchitect |
>> Plat-Arch-204 Echte Fragen <<
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48. Frage
Salesforce is considered to be the system of record for the customer. UC plans on using middleware to integrate Salesforce with external systems (ERP, ticketing, data lake). UC has a requirement to update the proper external system with record changes in Salesforce and vice versa. Which solution should an integration architect recommend?
Antwort: B
Begründung:
In a multi-system landscape, maintaining data synchronization requires a robust Identity Mapping strategy. The standard Salesforce architectural recommendation is to use External ID fields to store the unique identifiers from each secondary system.
By storing the ERP ID, Ticketing ID, and Data Lake ID as External IDs in Salesforce, the middleware can perform upsert operations without needing to first query Salesforce for its internal ID. This reduces the number of API calls and simplifies the integration logic. Conversely, when Salesforce pushes a change to the ERP, it sends the stored ERP ID, allowing the ERP to instantly identify the correct target record.
Option B (Caching at the middleware) is a high-maintenance "anti-pattern" that introduces a new point of failure if the cache goes out of sync with the actual systems. Option C (Change Data Capture) is a mechanism for notifying systems of changes, but it does not solve the underlying identity mapping problem. Using External IDs creates a stable, searchable, and performant cross-reference that is the backbone of any successful "hub-and-spoke" integration architecture.
49. Frage
A company captures orders and needs to send them to the Order fulfillment system. The user is not required to have confirmation from the Order fulfillment system. Which system constraint question should be considered when designing an integration to send orders from Salesforce to a fulfillment system?
Antwort: B
Begründung:
When designing an integration where the user does not require immediate confirmation, the architect is moving away from a synchronous "Request-Reply" pattern toward an asynchronous "Fire-and-Forget"16 or "Batch Processing" pattern. In such scenarios, the most critical architectural constraint is defining the latency requirements.
Latency dictates the technical choice of the integration tool. If the fulfillment system needs the order within seconds of creation to begin a high-speed picking process, the architect might choose Salesforce Outbound Messaging or an Apex Callout triggered by a Platform Event. If the system only needs to process orders once an hour or overnight, a Batch ETL process is more appropriate. Understanding the acceptable delay (latency) ensures that the solution meets business expectations without over-engineering for real-time performance where it isn't required.
While Option B (Outbound Messaging) is a valid technical capability, it is a specific solution rather than a high-level "system constraint question" that drives the initial design phase. Option C (Address Validation) is a functional requirement regarding data integrity, but it does not define the architectural framework of the integration as effectively as latency does. By identifying the latency threshold, the architect can determine if the integration should be near real-time, hourly, or daily, which in turn influences how the system handles error recovery, retries, and transaction volumes.
50. Frage
An enterprise architect has requested the Salesforce integration architect to review the following (see diagram and description) and provide recommendations after carefully considering all constraints of the enterprise systems and Salesforce Platform limits.
There are multiple eligibility systems that provide this service and are hosted externally.34 However, their current response times could take up to 90 seconds to process and return.
These eligibility systems can be acc8essed through APIs orchestrated via ESB (MuleSoft).
All requests from Salesforce must traverse the customer's API Gateway layer, which imposes a constraint of timing out requests after 9 seconds.
Which recommendation should the integration architect make?
Antwort: B
51. Frage
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?
Antwort: C
Begründung:
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.
52. Frage
A company accepts payment requests 24/7. Once the company accepts a payment request, its service level agreement (SLA) requires it to make sure each payment request is processed by its Payment System. The company tracks payment requests using a globally unique identifier created at the Data Entry Point. The company's simplified flow is as shown in the diagram.
The company encounters intermittent update errors when two or more processes try to update the same Payment Request record at the same time. Which recommendation should an integration architect make to improve the company's SLA and update conflict handling?
Antwort: C
Begründung:
In high-concurrency environments like 24/7 payment processing, a common architectural failure is "race conditions," where multiple threads attempt to update the same record simultaneously. To resolve this while strictly adhering to a Service Level Agreement (SLA), the Integration Architect must shift the responsibility of orchestration to a central "nervous system"-the Middleware (e.g., MuleSoft or an ESB).
According to Salesforce Integration best practices, Middleware coordination is essential for managing the state and sequencing of asynchronous messages. By having the Middleware coordinate request delivery, it can implement a "Sequential Processing" or "First-In-First-Out" (FIFO) queue logic. This ensures that even if the Data Entry Point pushes requests at high speed, the Middleware can throttle or serialize the calls to the Payment System, preventing the record-locking errors and update conflicts mentioned in the scenario.
Furthermore, the globally unique identifier created at the Data Entry Point allows the Middleware to perform Idempotency checks. If a duplicate request arrives or an error occurs, the Middleware can use this ID to verify the status before attempting another update, ensuring that the "exactly-once" processing requirement of the SLA is met without creating duplicate payment records or conflicting status updates.
While Option B suggests retries-which are necessary for a "Fire-and-Forget" pattern-retrying without central coordination often exacerbates update conflicts rather than solving them. Option C (processing once) is a result of a well-designed system, but it does not provide the mechanism to handle the specific update conflicts described. By recommending that the Middleware coordinate the entire flow, the architect provides a robust solution that manages delivery, handles retries gracefully, and ensures data integrity across the system landscape.
53. Frage
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