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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 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
  • 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 (Q101-Q106):

NEW QUESTION # 101
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: C

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 # 102
Universal Containers (UC) is a global financial company that sells financial products and services. There is a daily scheduled Batch Apex job that generates invoices from a given set of orders. UC requested building a resilient integration for this Batch Apex job in case the invoice generation fails. What should an integration architect recommend to fulfill the requirement?

Answer: C

Explanation:
Resiliency in long-running Batch Apex processes is best achieved by utilizing modern, event-driven error handling frameworks provided by the Salesforce platform. The BatchApexErrorEvent is the architecturally recommended component for monitoring and responding to failures in Batch Apex jobs.
When a Batch Apex class implements the `Database.RaisesPlatformEvents` interface, the platform automatically publishes a BatchApexErrorEvent whenever an unhandled exception occurs during the execution of a batch. This event contains critical metadata, including the exception message, the stack trace, and the scope (the specific IDs of the records that were being processed when the failure occurred).
An Integration Architect should recommend building a Platform Event Trigger that subscribes to these error events. This trigger can perform sophisticated error handling logic, such as:
* Logging the failure details into a custom "Integration Error" object for auditing.
* Initiating a retry logic by re-enqueuing only the failed records into a new batch job.
* Notifying administrators or external systems via an outbound call or email.
This approach is superior to Option B (internal handling) because unhandled exceptions often cause the entire batch transaction to roll back, potentially losing any error logging performed within the same scope. It is also more efficient than Option C (middleware), as it keeps the error recovery logic "close to the data," reducing the need for external systems to constantly poll for job status or parse complex logs. By using BatchApexErrorEvent, UC ensures a resilient, self-healing process that maintains the integrity of the invoice generation cycle.
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NEW QUESTION # 103
A company accepts payment requests 24/7. Once the company accepts a payment request, its service level agreement (SLA) r5equires it to make sure each payment request is processed by its Payment System. The co6mpany 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?

Answer: B

Explanation:
To fulfill the SLA of ensuring every payment is processed while simultaneously resolving the issue of intermittent update errors, the architect must introduce an orchestration layer capable of managing state and concurrency. In a high-volume payment environment, "Fire and Forget" messages (as seen in the provided diagram) can lead to race conditions if multiple threads attempt to update a single record simultaneously-a common challenge when scaling payment systems.
The recommendation to have Middleware coordinate request delivery and payment processing (Option C) transforms the architecture into a managed queueing system. By coordinating delivery, the middleware can act as a traffic controller, ensuring that requests are delivered sequentially or that appropriate locks are respected before an update is attempted. This orchestration allows the system to meet its SLA by implementing a "guaranteed delivery" pattern, where the middleware tracks the status of each payment and only "forgets" the message once the Payment System confirms successful processing.
Furthermore, the architect should emphasize idempotency by leveraging the globally unique identifier created at the Data Entry Point. The Payment System should be designed to use this identifier to check if a specific transaction has already been processed before attempting an update. This prevents duplicate entries and conflicting updates, even if the middleware retries a message due to a network timeout. While retries (Options A and B) are part of a resilient system, they do not solve the root cause of record contention; only the coordination and sequencing provided by the middleware can ensure a stable, conflict-free integration flow.78


NEW QUESTION # 104
Northern Trail Outfitters needs to use Shield Platform Encryption to encrypt social security numbers in order to meet a business requirement. Which action should an integration architect take prior to the implementation of Shield Platform Encryption?

Answer: C

Explanation:
Prior to implementing Shield Platform Encryption, the most critical step for an Integration Architect is to perform a comprehensive Review of Shield Platform Encryption configurations and their impact on existing platform functionality. Encryption at rest is not a "set-and-forget" feature; it changes how the Salesforce database interacts with various features, and failing to review these limitations beforehand can lead to significant business disruption.
Salesforce documentation emphasizes that encryption affects several core areas:
SOQL/SOSL Limitations: Encrypted fields have restricted capabilities in WHERE, GROUP BY, and ORDER BY clauses.1 For example, if Social Security Numbers (SSNs) are encrypted using Probabilistic Encryption, they cannot be filtered or sorted in a query.2 This could break existing integrations or reports that rely on finding specific records by SSN.
Search Functionality: While Salesforce supports searching for encrypted data, there are specific behaviors to consider regarding how search indexes are built and updated.
AppExchange and Managed Packages: If the SSN field is used by a third-party app or a managed package, encrypting it might cause those external tools to fail if they are not designed to handle encrypted data types.
Field Attributes: Encrypted fields cannot be used as Unique or External IDs if using the probabilistic scheme, which is a vital consideration for data synchronization architectures.3 Therefore, the architect must first conduct a Business Impact Analysis. This includes identifying where the sensitive data (SSNs) is used in Apex code, Flows, validation rules, and reports. By reviewing the configurations and functional limitations first, the architect can decide between Probabilistic (higher security) and Deterministic (allows filtering) encryption strategies.4 Option A is a step taken during or after implementation (Background Encryption), and Option C is an anti-pattern, as encrypting "everything" leads to unnecessary performance overhead and massive functional loss. Only after a thorough review can the architect safely proceed with the technical implementation of Shield.


NEW QUESTION # 105
Northern Trail Outfitters has recently implemented middleware for orchestration of services across platforms. The Enterprise Resource Planning (ERP) system being used requires transactions be captured near real-time at a REST endpoint initiated in Salesforce when creating an Order object. Additionally, the Salesforce team has limited development resources and requires a low-code solution. Which option should fulfill the use case requirements?12

Answer: C

Explanation:
To satisfy a requirement for near real-time updates to an ERP system while adher9ing to a low-code constraint, the architect must leverage Salesforce's modern declara10tive automation tools. The goal is to initiate an outbound signal that the existing middleware can then orchestrate and deliver to the ERP's REST endpoint.
The Remote Process Invocation-Fire and Forget pattern is perfectly suited for this scenario. In this pattern, Salesforce sends a message to an external system and does not wait for a functional response. This is ideal for "capturing" transactions in an ERP where the primary goal is record synchronization rather than a real-time calculation return. By using Flow Builder, the team can implement a record-triggered flow on the Order object. This flow can be configured to execute "Actions" that send data to the middleware via External Services or standard HTTP Callouts (Beta/GA features in modern Flow), which requires zero Apex coding.
Option B, Outbound Messaging, is a legacy declarative tool that is highly reliable but has a significant limitation: it natively sends messages in SOAP format. Since the requirement specifically specifies a REST endpoint, using Outbound Messaging would require additional transformation logic in the middleware, making it a less direct architectural fit than a modern Flow-based REST call. Option C, Change Data Capture (CDC), is a highly scalable, event-driven mechanism, but it is typically considered more complex to implement and maintain. It requires the middleware to manage "Replay IDs" and subscribe to a streaming channel, which often requires more specialized development effort on the middleware side compared to a simple HTTP POST from a Flow. For a team with limited development resources, Flow Builder provides the most accessible and maintainable path to achieving near real-time integration.


NEW QUESTION # 106
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