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Salesforce Plat-Arch-204 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 (Q106-Q111):

NEW QUESTION # 106
Northern Trail Outfitters (NTO) uses a custom mobile app to interact with its customers. One of the features of the app is Salesforce Chatter Feeds. NTO wants to automatically post a Chatter item to Twitter whenever the post includes the #thanksNTO hashtag.
Which API should an integration architect use to meet this requirement?

Answer: A

Explanation:
When designing integrations that specifically involve Chatter, social collaboration, or Experience Cloud sites, the Connect REST API (formerly known as the Chatter REST API) is the architecturally recommended choice. While the standard REST API is optimized for CRUD operations on data records, the Connect REST API is specifically designed to handle the complex, nested structures of social feeds, including posts, comments, hashtags, and mentions.
The Connect REST API provides a specialized resource for feed elements that simplifies the process of identifying specific social markers like hashtags. In this use case, the mobile app or a middleware service can subscribe to or query the feed. The Connect REST API returns structured data where hashtags are identified as distinct message segments, making it trivial for an application logic to detect the #thanksNTO tag and trigger a subsequent call to the Twitter API.
From an architectural standpoint, using the Connect REST API offers several advantages over the standard REST API or Streaming API for this requirement:
Efficiency: Connect REST API responses are structured specifically for presentation in mobile applications, providing only the relevant social metadata and localized content needed for the feed.
Feature Richness: It provides native support for social actions such as liking, sharing, and following, which are often required alongside feed monitoring.
Scalability: It is designed to handle the high-volume, real-time nature of social interactions within Experience Cloud and mobile ecosystems.
While the Streaming API (Option B) can notify an application of record changes, it does not provide the rich, formatted social context that the Connect REST API delivers. The standard REST API (Option A) could technically access FeedItem records, but it would require significant custom parsing logic to identify hashtags within the raw body text, whereas the Connect REST API handles this segmenting natively. Therefore, for building custom mobile experiences that interact with Chatter data, the Connect REST API is the superior solution.


NEW QUESTION # 107
Northern Trail Outfitters is in the final stages of merging two Salesforce orgs, but needs to keep the retiring org available for a short period of time for lead management as it is connected to multiple public website forms. The sales department has requested that new leads are available in the new Salesforce instance within 30 minutes. Which approach requires the least amount of development effort?

Answer: C

Explanation:
In an org merger scenario, a Salesforce Platform Integration Architect must often design interim solutions that balance speed of delivery with minimal development overhead. The requirement here is for leads to be synced within a 30-minute window. This is a relatively low-latency requirement that does not strictly necessitate a real-time, event-driven architecture, which typically requires more complex infrastructure like Platform Events or middleware.
Option A, calling the Salesforce REST API to insert leads into the target system, represents the standard, most straightforward approach. Since both systems are Salesforce orgs, the retiring org can be configured to make an outbound REST call to the new org's standard Lead endpoint. This can be achieved with a small amount of Apex code (such as a trigger or an invocable method called by a Flow). This approach is considered the "least development effort" because it leverages the standard REST API, which is already enabled and authenticated via a Connected App in the target org. It requires no custom API development in the target system and uses standard JSON payloads.
Option B is incorrect because the Tooling API is intended for managing metadata, system settings, and developer tools, not for standard transactional data movement like Lead insertion. Option C, using the Composite REST API, is an optimization technique designed to group multiple requests into a single call to save on API limits. While efficient for high-volume scenarios, it introduces additional development complexity regarding payload construction and bulk error handling that exceeds the "least effort" requirement for a simple Lead sync. Therefore, a standard REST call is the most direct path to meeting the 30-minute SLA with minimal coding.


NEW QUESTION # 108
NTO is merging two orgs but needs the retiring org available for lead management (connected to web forms). New leads must be in the new instance within 30 minutes. Which approach requires the least amount of development effort?

Answer: A


NEW QUESTION # 109
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?

Answer: A


NEW QUESTION # 110
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 # 111
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