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| Section | Objectives |
|---|---|
| Integration Architecture Fundamentals | - Integration concepts and patterns
|
| Event-Driven Architecture | - Asynchronous integration
|
| Middleware and Integration Platforms | - Integration middleware
|
| Data Integration and Management | - Data transformation and mapping
|
| API and Connectivity | - API-led connectivity
|
| Security and Identity | - Data security
|
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NEW QUESTION # 116
When a user clicks "Check Preferences" as part of a Lightning flow, preferences from an externally hosted RESTful service are to be checked in real time. The service has OpenAPI 2.0 definitions. Which integration pattern and mechanism should be selected?
Answer: A
Explanation:
This scenario describes a classic Request and Reply pattern where a user action in the UI requires an immediate, synchronous response from an external system to determine the next step in a business process (the Flow).
The requirement specifies that an OpenAPI 2.0 (Swagger) definition is available. For an Integration Architect, this is a prime use case for External Services. External Services allow you to import an OpenAPI schema and automatically generate "Invocable Actions" that can be used directly in Flow Builder without writing a single line of Apex code.
Why this is the best fit:
* Low Code: It fulfills the requirement purely through declarative configuration, which reduces maintenance and development costs.
* Real-Time: It performs a synchronous HTTP callout and waits for the Boolean/String values to be returned to the Flow variables.
* Type Safety: Because it uses the OpenAPI definition, Salesforce understands the data types (Boolean
/String) natively.
Option A (Data Virtualization) is more suitable for viewing and searching large external datasets as if they were records; it is over-engineered for a simple "check status" function. Option C (Remote Call-In) is the inverse of the requirement; it refers to an external system calling into Salesforce. By using Enhanced External Services, the architect provides a scalable, declarative solution that perfectly aligns with modern Salesforce development best practices for real-time external system interaction.
NEW QUESTION # 117
A customer imports data from an external system into Salesforce using Bulk API. These jobs have batch sizes of 2000 and are run in parallel mode. The batch fails frequently with the error "Max CPU time exceeded". A smaller batch size will fix this error.
Which two options should be considered when using a smaller batch size?
Choose 2 answers
Answer: A,D
Explanation:
Explanation
The error "Max CPU time exceeded" occurs when a batch of records takes more than 10 minutes to process in the Bulk API. Using a smaller batch size can reduce the processing time and avoid this error. However, there are some trade-offs to consider when using a smaller batch size, such as:
Answer A is valid because a smaller batch size may cause record-locking errors if multiple batches try to update the same records or records that are related by a lookup or master-detail relationship. This can result in concurrency issues and data inconsistency1 Answer B is valid because a smaller batch size may increase the time required to execute bulk jobs, as more batches need to be created and processed sequentially. This can affect the performance and efficiency of the integration1 Answer C is not valid because a smaller batch size may not exceed the concurrent API request limits, as the Bulk API does not count against the concurrent request limit. The Bulk API has its own limit on the number of batches that can be queued or in progress, which is 5,000 per rolling 24-hour period2 Answer D is not valid because a smaller batch size can trigger "Too many concurrent batches" error only if the number of batches exceeds the limit of 5,000 per rolling 24-hour period. This error is not related to the parallel mode of the Bulk API, which allows up to 10 batches to be processed simultaneously
NEW QUESTION # 118
An integration architect has received a request to prevent employees that leave the company from accessing data in Salesforce after they are deactivated in the company's HR system. What should the integration architect determine before recommending a solution?
Answer: B
NEW QUESTION # 119
Northern Trail Outfitters (NTO) leverages Sales Cloud for tracking and managing leads, accounts, contacts, and opportunities- Orders and order fulfillment is taken care of by an Order Management System (OMS) in the back-office. When an opportunity has changed it's status to "Closed/Won" and there are products attached, the details should be passed to the OMS for fulfillment operations.
The callout from Salesforce to the OMS should be synchronous.
What should an Integration Architect do to satisfy these requirements?
Answer: A
NEW QUESTION # 120
A customer's enterprise architect has identified requirements around caching, queuing, error handling, alerts, retries, event handling, etc. The company has asked the integration architect to help fulfill such aspects with its Salesforce program. Which recommendation should the integration architect make?
Answer: A
Explanation:
When an enterprise architect identifies infrastructure-level requirements such as caching, queuing, and complex event handling, it signals a need for a dedicated integration layer. Salesforce is an engagement platform, not a dedicated message broker or Enterprise Service Bus (ESB). For complex event handling in a publish/subscribe scenario, the architect should recommend leveraging middleware to act as the central nervous system of the integration landscape.
The middleware provides a robust environment to manage the lifecycle of a message. It can receive a single event from a publisher (like Salesforce via Platform Events) and then route that message to multiple active subscribers. This decoupling ensures that Salesforce doesn't need to manage the connection state or retry logic for every downstream system. Middleware tools are specifically designed to handle "Quality of Service" (QoS) requirements like guaranteed delivery, message sequencing, and dead-letter queuing, which are difficult to manage natively at scale within Salesforce limits.
Option A is incorrect because shifting from Fire-and-Forget to Request-Reply generally decreases performance and scalability due to the synchronous nature of the wait time. Option C is also incorrect; protocol translation (e.g., SOAP to REST) and heavy message transformation are exactly what middleware tools are built for. By performing these tasks in middleware, you conserve Salesforce's Apex CPU limits and maintain a cleaner, more maintainable CRM environment. Therefore, using middleware for routing and event handling is the standard architectural recommendation for a mature enterprise program.
NEW QUESTION # 121
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