Relevant Salesforce Plat-Arch-204 Questions, Reliable Plat-Arch-204 Exam Dumps
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>> Relevant Salesforce Plat-Arch-204 Questions <<
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Salesforce Certified Platform Integration Architect Sample Questions (Q100-Q105):
NEW QUESTION # 100
A developer is researching different implementations of the Streaming API (PushTopic, Change Data Capture, Generic Streaming, Platform Events) and asks for guidance. What should the architect consider when making the recommendation?
- A. Change Data Capture does not have record access support.
- B. Change Data Capture can be published from Apex.
- C. PushTopic Events can define a custom payload.
Answer: A
Explanation:
When recommending a streaming solution, the architect must evaluate how each event type handles Record-Level Security (Sharing). Change Data Capture (CDC) is unique because it ignores sharing settings for record change events. This means all records of an enabled object generate change events, regardless of whether a particular user has access to those records in the Salesforce UI.
While CDC disregards record-level sharing, it does respect Field-Level Security (FLS). Delivered events only include the fields that the subscribing user is permitted to access. This is a critical consideration for integrations: if a system requires a "Master" view of all record changes across the enterprise (such as a data warehouse sync), CDC is the appropriate tool because it ensures no data is missed due to user-specific sharing constraints.
In contrast, PushTopic Events (Option A) provide a fixed payload based on a SOQL query and do not allow a "custom" payload in the same sense as Platform Events. Platform Events (Option C) are published from Apex or external APIs, but CDC is a platform-native feature that broadcasts automatically when a database record is modified, rather than being "published from Apex" by a developer.
NEW QUESTION # 101
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?
- A. Reporting and usability requirements
- B. Data volume and processing volume
- C. Multi-language and multi-currency requirement
Answer: B
Explanation:
When migrating from a legacy environment to a multi-tenant cloud platform like Salesforce, Data volume and processing volume represent the most critical technical constraints. Legacy systems often operate without the strict governor limits found in Salesforce, meaning they may push large datasets or high-frequency updates that could easily overwhelm standard Salesforce APIs.
An integration architect must evaluate these volumes to determine the appropriate integration pattern:
Pattern Selection: If the daily volume involves millions of records, the architect must recommend the Bulk API rather than standard REST or SOAP APIs to avoid hitting daily API limits.
Synchronous vs. Asynchronous: High processing volumes often necessitate asynchronous patterns (such as Fire-and-Forget or Batch) to prevent user-interface lag and "Concurrent Request Limit" errors.
Data Virtualization: If the legacy data volume is massive but only needs to be viewed occasionally, the architect might consider Salesforce Connect to avoid consuming expensive internal data storage.
While reporting (Option A) and multi-currency (Option C) are important functional requirements, they do not fundamentally dictate the technical "plumbing" or scalability of the integration architecture. By prioritizing the analysis of volume and processing needs, the architect ensures the new modernization effort is stable, performant, and capable of scaling as the business grows within the bounds of the Salesforce platform.
NEW QUESTION # 102
The director of customer service at Northern Trail Outfitters (NTO) wants to capture and trend specific business events that occur in Salesforce in real time. The metrics will be accessed in an ad-hoc manner using an external analytics system. The events include product exchanges, authorization clicks, subscription cancellations, and refund initiations via Cases. Which solution should meet these business requirements?
- A. Case Trigger after insert, after update to publish the platform event
- B. Case Workflow Rule that sends an Outbound Message
- C. Case after insert Trigger that executes a callout
Answer: A
Explanation:
To meet a requirement for real-time event capture that supports an external analytics system, the arc14hitect must choose a pattern that is scalable, decoupled, and reliable. Platform Events are the modern standard for this use case.
By using a Case Trigger to publish a specific Platform Event, NTO creates a highly decoupled Publish/Subscribe architecture. The external analytics system (or a middleware layer feeding it) acts as a subscriber to the event channel. This is superior to standard callouts or outbound messaging for several reasons:
Durability: Platform Events offer a 72-hour retention window. If the analytics system is momentarily offline, it can use the Replay ID to retrieve missed events.
Atomic Transactions: Triggers can be configured to publish events only after the database transaction successfully commits ("Publish After Commit"), ensuring the analytics system doesn't receive data for transactions that were eventually rolled back.
Event Volume: Platform Events are designed to handle much higher volumes of real-time messages than standard synchronous callouts.
Option A (Apex Callouts) is a point-to-point, synchronous pattern that would block Case processing and risk hitting "Concurrent Long-Running Request" limits. Option B (Outbound Messaging) is reliable but is limited to a single object per message and uses a rigid SOAP format that is less flexible for ad-hoc external analytics than the modern JSON/CometD/gRPC structures used by the event bus. By implementing Option C, the architect ensures that every specific business milestone (refund, exchange, cancellation) is broadcasted immediately, providing the customer service director with the accurate, real-time visibility required for trending and metrics.
NEW QUESTION # 103
Service agents at Northern Trail Outfitters use Salesforce to manage cases and B2C Commerce for ordering.22 Which integration solution should an architect recommend in order for the service agents to see order history from a business-to-consumer (B2C) Commerce system?
- A. MuleSoft Anypoint Platform
- B. Salesforce B2C Commerce to Service Cloud Connector
- C. REST API offered by Commerce Platform
Answer: B
Explanation:
For organizations using both Salesforce Service Cloud and B2C Commerce (formerly Demandware), Salesforce provides a specialized, pre-built integrat25ion known as the Salesforce B2C Commerce to Service Cloud Connector. This connector is part of the Salesforce B2C Solution Architecture and is the recommended choice because it offers "out-of-the-box" cross-cloud functionality.
The connector enables several critical business processes for service agents:
Unified Customer Profile: Synchronizes customer data between the two platforms, ensuring agents have the most current contact information.
Order History Visibility: Allows agents to view real-time order data and status from the Commerce system directly within the Service Console.
Service Actions: Enables agents to perform commerce-related tasks, such as "Order on Behalf Of," without leaving the Salesforce interface.
While an architect could build a custom integration using the Commerce REST API (Option A) or MuleSoft (Option C), these approaches require significant development, testing, and long-term maintenance effort. The B2C Connector reduces time-to-market and leverages Salesforce's own engineering to handle complex synchronization logic and API versioning. Recommending the standard connector aligns with the architectural principle of "clicks before code" and ensures that the integration remains supported by Salesforce as both platforms evolve.
NEW QUESTION # 104
Northern Trail Outfitters requires an integration to be set up between one of its Salesforce orgs and an External Data Source using Salesforce Connect. The External Data Source supports Open Data Protocol. Which configuration should an integration architect recommend be implemented in order to secure requests coming from Salesforce?
- A. Configure Special Compatibility for OData connection.
- B. Configure Identity Type for OData connection.
- C. Configure CSRF Protection for OData connection.
Answer: B
Explanation:
In the context of Salesforce Connect, securing the integration depends heavily on how the platform authenticates with the external system. The Identity Type configuration is the fundamental security setting for an External Data Source.
The architect must choose between two Identity Types:
Named Principal: Salesforce uses the same set of credentials for all users to access the external system. This is simple to manage but does not allow the external system to distinguish between individual Salesforce users for auditing or permission purposes.
Per User: Each Salesforce user must have their own credentials for the external system. This is the most secure option as it ensures that the data visible in Salesforce respects the specific permissions the user has in the source system.
By correctly configuring the Identity Type, the architect ensures that the requests coming from Salesforce are properly authorized at the target system. Option B (CSRF Protection) is a security measure to prevent cross-site request forgery but is not the primary mechanism for authenticating the Salesforce service itself. Option A is a technical compatibility setting for non-standard OData implementations and does not directly relate to security. Therefore, recommending the appropriate Identity Type-typically "Per User" for sensitive data-is the key step in securing the OData connection.
NEW QUESTION # 105
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