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NEW QUESTION # 85
A company needs to integrate a legacy on-premise application that can only support SOAP API. The integration architect determines that the Fire and Forget integration pattern is most appropriate for sending data from Salesforce to the external application and getting a response back in a strongly-typed format. Which integration capabilities should be used?
Answer: B
Explanation:
For an outbound, declarative, Fire-and-Forget integration to a legacy SOAP-based system, Salesforce Outbound Messaging is the native tool of choice. Outbound Messaging sends an XML message to a designated endpoint when specific criteria are met. It is highly reliable as Salesforce will automatically retry the delivery for up to 24 hours if the target system is unavailable.
For the communication back from the legacy system to Salesforce, a strongly-typed SOAP API approach is required. The Enterprise WSDL is the correct recommendation here because it is a strongly-typed WSDL that is specific to the organization's unique data model (including custom objects and fields). Using the Enterprise WSDL allows the legacy system to communicate with Salesforce using specific data types, providing compile-time safety and reducing errors during the mapping process.
Option A is less efficient because Platform Events would likely require middleware to translate the event into the legacy system's SOAP format. Option B suggests the Partner WSDL, which is loosely-typed and designed for developers building tools that must work across many different Salesforce orgs. Since this is an internal integration for a specific company, the Enterprise WSDL provides a much more streamlined development experience with better data integrity. By combining Outbound Messaging (for fire-and-forget delivery) and the Enterprise WSDL (for the strongly-typed callback), the architect fulfills the technical requirements while minimizing custom code.
NEW QUESTION # 86
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 # 87
An integration architect has built a solution using REST API, updating Account, Contact, and other related information. The data volumes have increased, resulting in higher API calls consumed, and some days the limits are exceeded. A decision was made to decrease the number of API calls using bulk updates. The customer prefers to continue using REST API to avoid architecture changes. Which REST API composite resources should the integration architect use to allow up to 200 records in one API call?
Answer: B
Explanation:
When designing high-volume integrations, the Salesforce Platform Integration Architect must distinguish between standard REST resources and "Composite" resources to optimize API consumption. The Salesforce REST API provides several composite resources to group multiple operations into a single call, thereby reducing the overhead of multiple HTTP requests and helping to stay within daily API limits.
According to Salesforce documentation on Composite Resources, the sObject Tree resource (/services/data/vXX.X/composite/tree/) is specifically designed to handle multiple records in a single request. While it is primarily marketed for creating complex hierarchies (parent-child relationships), it has a unique limit that allows for up to 200 records to be processed in a single call. These records can even be unrelated records of the same type. This is a significant advantage over the standard Batch and Composite resources.
The Composite resource and the Batch resource both have a much lower limit of 25 subrequests per call. While each subrequest in a Batch call could technically be a collection operation, the question specifically asks for the resource that natively supports the "200 records" threshold preferred for bulk-style updates within the REST framework. By utilizing the sObject Tree resource, the architect can bundle 200 record updates into a single transaction, effectively reducing API consumption by a factor of 200 compared to individual REST calls. This aligns with the requirement to avoid major architectural changes (like switching to the Bulk API 2.0) while solving the immediate problem of exceeding daily governor limits. In the context of the Integration Architect exam, understanding these specific payload limits is crucial for selecting the most efficient "Request-Reply" or "Data Synchronization" pattern.
NEW QUESTION # 88
A global financial company with a core banking system processing 1 million transactions per day wants to build a community portal. Customers need to review their bank account details and transactions. What should an integration architect recommend to enable community users to view their financial transactions?
Answer: A
Explanation:
When dealing with high-volume data (1 million transactions per day) that does not need to be stored natively in Salesforce, the architect should recommend Data Virtualization via Salesforce Connect.
Salesforce Connect allows the company to display external data as External Objects. This approach provides several architectural advantages for a banking community:
No Data Storage: Transactions remain in the core banking system, avoiding the massive storage costs and complex synchronization logic required to house millions of records natively in Salesforce.
Real-Time Visibility: Because External Objects are queried on-demand via the OData protocol or a custom Apex adapter, customers see the most up-to-date transaction history every time they refresh the page.
While an Iframe (Option B) is technically possible, it is often discouraged due to security concerns (such as clickjacking) and a poor user experience, as the Iframe does not natively integrate with Salesforce UI components or reporting. Salesforce Connect provides a "seamless" look and feel, allowing External Objects to be used in related lists and Lightning components just like standard Salesforce records, while keeping the heavy data burden on the performant core banking system.
NEW QUESTION # 89
A customer is migrating from an old legacy system to Salesforce and wants to integrate all existing systems currently working with the legacy application. Which constraint/pain-point should an integration architect consider when choosing the integration pattern/mechanism?
Answer: C
Explanation:
When designing an integration architecture for a legacy migration, Data volume and processing volume are the primary technical constraints that dictate the choice of integration pattern.
Salesforce is a multi-tenant environment with strict governor limits. High data volumes can quickly exhaust synchronous request limits, API quotas, and storage allocations. An architect must evaluate:
Synchronous vs. Asynchronous: High-volume processing often requires asynchronous patterns (like Batch or Fire-and-Forget) to avoid blocking user actions and hitting concurrent request limits.
Bulk vs. REST: If millions of records need to be migrated or synchronized daily, the Bulk API is the only scalable mechanism, as standard REST or SOAP APIs are not optimized for massive datasets.
Data Persistence: Large volumes of read-only data might be better served through Data Virtualization (Salesforce Connect) to avoid consuming expensive Salesforce storage.
While reporting (Option C) and multi-currency (Option B) are important business requirements, they are functional configurations within Salesforce and do not drive the technical "plumbing" of the integration as heavily as volume does. By prioritizing the evaluation of volume and processing needs, the architect ensures that the integration is stable, performant, and capable of scaling as the business grows.
NEW QUESTION # 90
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