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| Section | Weight | Objectives |
|---|---|---|
| Maintain Integration | 3% | - Monitor performance and health - Define reporting and alerting requirements - Manage updates and change impact |
| Build Solution | 23% | - Implement API design and security - Implement idempotency and reliability mechanisms - Apply data transformation and mapping - Build scalable and resilient integration solutions |
| Translate Needs to Integration Requirements | 22% | - Evaluate system and process constraints - Determine performance requirements: volume, latency, response time - Define security and authentication specifications - Create system and integration pattern inventory |
| Evaluate Business Needs | 8% | - Assess business growth impact on integration - Determine CRM success factors for integration - Classify data by sensitivity and security level - Identify functional and non-functional requirements |
| Evaluate the Current System Landscape | 16% | - Identify regulatory and compliance factors - Analyze constraints and pain points in existing systems - Identify system standards, limitations, boundaries and protocols - Evaluate authentication and authorization requirements |
| Design Integration Solutions | 28% | - Analyze trade-offs, limitations and constraints - Select appropriate integration patterns - Define solution components and architecture - Design error handling, recovery and monitoring - Choose suitable Salesforce APIs and technologies |
>> Salesforce Plat-Arch-204 Valid Exam Answers <<
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NEW QUESTION # 78
Northern Trail Outfitters wants to use Salesforce as a front end for creating accounts using the lead-to-opportunity process.
An order is created in Salesforce when the opportunity is Closed/Won, but the back-end Enterprise Resource Planning (ERP) system is the data Master for order.
The customer wants to be able to see within Salesforce all the stages of order processing, like Order Created, Order Shipped, and Order Paid, that are within the retention window.
Which message durability consideration should an integration architect make when designing a solution to meet these business requirements?
Answer: C
Explanation:
When designing an event-driven architecture to track order processing stages (Created, Shipped, Paid), the Integration Architect must ensure the solution provides "durability"-the ability to recover messages that were sent while a subscriber was offline or during a system failure. In Salesforce, this is managed through the Event Bus and the ReplayID mechanism.
For High-Volume Platform Events and Change Data Capture, Salesforce provides a standard retention window of 72 hours (3 days). This means that events are stored in the bus for this duration, allowing clients to "replay" events that occurred in the past. To leverage this durability, the subscribing client must specify where in the event stream they wish to begin receiving messages.
There are two special values for the ReplayID:
ReplayID = -1 (Tip of the Stream): The subscriber receives only new events that are published after the subscription is established. Any events published while the client was disconnected are missed. This does not meet the requirement of seeing processing stages that occurred within the retention window if the connection was interrupted.
ReplayID = -2 (All Available Events): The subscriber receives all events that are currently stored in the event bus (up to 72 hours old) as well as all new events.
By recommending the use of ReplayID = -2, the architect ensures that even if the Salesforce frontend or the integration middleware experiences downtime, the system can "catch up" by retrieving all order status updates (Shipped, Paid, etc.) that were published during that window. This provides a robust and resilient user experience, ensuring that the Opportunity and Order records in Salesforce accurately reflect the state of the ERP system without data gaps. This configuration is essential for maintaining data synchronization in a distributed landscape where Salesforce acts as the engagement layer for a back-1end ERP master.
NEW QUESTION # 79
UC has an API-led architecture with three tiers. Requirement: return data to systems of engagement (mobile, web, Salesforce) in different formats and enforce different security protocols. What should the architect recommend?
Answer: A
Explanation:
In a standard API-led connectivity model, the First Tier (Experience APIs) is responsible for tailoring data for specific systems of engagement.
The Experience APIs take the core data from the lower tiers and transform it into the specific return formats (e.g., JSON for mobile, XML for legacy web) and security protocols (e.g., OAuth for Salesforce, API Keys for web) required by each consumer. Option B correctly identifies that these transformations and security enforcements should happen at this outer layer. While an API Gateway (Option A) can provide generic security and rate limiting, it is the Experience API layer that provides the functional transformation and specific protocol requirements defined by the business needs of the engagement systems.
NEW QUESTION # 80
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: B
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 # 81
A new Salesforce program requires data updates between internal systems and Salesforce. Which relevant details should a Salesforce integration architect seek to solve for the integration architecture needs of the program?
Answer: A
Explanation:
To design a robust and scalable integration architecture, a Salesforce architect must first define the technical scope and "plumbing" of the data flow.
The most critical details for solving integration architecture needs include:
Source and Target Systems: Identifying which systems are involved determines the available APIs (REST, SOAP, etc.) and the necessary security protocols.
Directionality: Knowing whether the integration is unidirectional (Salesforce to System X) or bidirectional is vital for managing record mastering and avoiding "infinite loops" in data synchronization.
Data Volume & Transformation Complexity: High volumes may require asynchronous batch processing via the Bulk API, while complex transformations (e.g., mapping custom external IDs to Salesforce Account Numbers) may necessitate a middleware layer like MuleSoft to act as the "central nervous system".
Option A focuses on UI/UX and licensing, which are general program concerns rather than architectural integration requirements. Option C deals with project management and governance, which are important for execution but do not inform the choice between a Request-Reply or Fire-and-Forget pattern. By focusing on systems, data direction, and transformation complexity, the architect can select the correct pattern and tools that satisfy business requirements while staying within platform limits.
NEW QUESTION # 82
Universal Containers (UC) has a legacy homegrown application that stores customer data. Sales representatives edit contact records in Salesforce. UC requirements: 1. Salesforce updates should update the homegrown application. 2. Synchronization should be event-driven. 3. Integration should be asynchronous. Which option should an architect recommend?
Answer: A
Explanation:
For a requirement focused on synchronizing record updates from Salesforce to an external system in an event-driven and asynchronous manner, Change Data Capture (CDC) is the architecturally preferred solution over custom Platform Events.
CDC is designed specifically for data replication and synchronization. It automatically publishes change events for Salesforce records (Create, Update, Delete, and Undelete) to the event bus. Unlike Platform Events, which require manual publishing via Apex triggers or Flows, CDC is a low-code feature that requires only a simple activation for the Contact object in Setup. The external homegrown application can then act as a CometD subscriber, listening to the specialized /data/ContactChangeEvent channel to receive near real-time updates without the need for constant polling. Furthermore, CDC provides ordered, replayable events and an extended 72-hour retention window, ensuring that the homegrown application can recover missed updates using a Replay ID if it momentarily loses connection. This native broadcasting capability ensures data integrity across systems while breaking the tight coupling between Salesforce and the legacy application.
NEW QUESTION # 83
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