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| Section | Objectives |
|---|---|
| Data Integration and Management | - Data synchronization strategies
|
| API and Connectivity | - API-led connectivity
|
| Security and Identity | - Data security
|
| Middleware and Integration Platforms | - Integration middleware
|
| Event-Driven Architecture | - Event messaging systems
|
| Integration Architecture Fundamentals | - Integration concepts and patterns
|
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NEW QUESTION # 16
A company that is a leading provider of training delivers courses to students globally. The company decided touse customer community in order to allow Studer to log in to the community, register for courses and pay course fees. The company has a payment gateway that takes more than 30 seconds to process the pays transaction. Students would like to get the paymentresult in real-time so in case an error happens, the students can retry the payment process.
What is the recommended integration approach to process payments based on this requirement?
Answer: A
Explanation:
The continuation class in Apex allows you to makelong-running requests to external web services and process their responses in a callback method. This is useful for scenarios where the response time exceeds the normal Apex limits, such as 10 seconds for synchronous transactions or 120 seconds for asynchronous transactions. By using continuation, you can avoid hitting these limits and provide a better user experience1 References: Callout Limits and Limitations
NEW QUESTION # 17
A customer imports data from an external system into Salesforce using Bulk API. These jobs have batch sizes of 2,000 and are run in parallel mode. The batches fail frequently with the error "Max CPU time exceeded". A smaller batch size will fix this error. What should be considered when using a smaller batch size?
Answer: A
Explanation:
The Bulk API is designed to process massive datasets by breaking them into smaller batches that Salesforce processes asynchronously. When a batch fails with the "Max CPU time exceeded" error, it typically indicates that the complexity of the operations triggered by the record-such as Apex triggers, Flows, or complex sharing calculations-exceeds the 10,000ms limit within a single transaction.
Reducing the batch size is the standard architectural remedy because it reduces the number of records processed in a single transaction, thereby lowering the total CPU time consumed by those records. However, the architect must consider the impact on the overall throughput and execution time.
When batch sizes are smaller, the total number of batches required to process the same dataset increases. For instance, moving from a batch size of 2,000 to 200 for a 1-million-record dataset increases the number of batches from 500 to 5,000. Each batch carries its own overhead for initialization and finalization within the Salesforce platform. Consequently, while the individual batches are more likely to succeed, the total time required to complete the entire job will increase.
The architect should also be aware of the daily limit on the total number of batches allowed (typically 15,000 in a 24-hour period). While Option C mentions API request limits, the Bulk API is governed more strictly by its own batch limits. Option B is less likely because "parallel mode" naturally manages concurrency. Thus, the primary trade-off the architect must present to the business is a gain in reliability (successful processing) at the cost of total duration (increased sync time).
NEW QUESTION # 18
An Architect is asked to build a solution that allows a service to access Salesforce through the API. What is the first thing the Architect should do?
Answer: A
Explanation:
Explanation
Create a special user solely for the integration purposes. This is the first thing that the Architect should do when building a solution that allows a service to access Salesforce through the API. Creating a special user for the integration purposes can help to ensure security, accountability, and traceability of the API calls. The special user should have a unique username, password, security token, and profile that grants only the necessary permissions and access for the integration. The special user should also be assigned to an API-only user license type that prevents logging in to the Salesforce UI. References: Certification - Integration Architect
- Trailhead, [User Licenses], [API User Permission]
NEW QUESTION # 19
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 # 20
Universal learning (UC) is embarked on Salesforce transformation journey, UC will decommission the legacy CRM system and migrate data to Salesforce. The data migration team asked for a recommendation to optimize the performanceof the data load to Salesforce.
Which approach should used to meet the requirement?
Answer: B
Explanation:
This is because Bulk API is a RESTful API that is optimized for loading or deleting large sets of data asynchronously. By processing jobs in parallel mode, you can take advantage of the multiple resources available on the Salesforce platform and speed up the data load. The other options are not suitable for this scenario because:
B, Contact Salesforce support to schedule performance load, is not a valid option as Salesforce does not offer such a service. You are responsible for optimizing your own data load performance.
C, Use Bulk API to process jobs in serial mode, is a slower option than parallel mode as it processes one batch at a time. This is only recommended when you have dependencies betweenrecords or when you want to preserve the order of records.
D, Use Bulk API to process jobs in high performance mode, is not a valid option as there is no such mode in Bulk API. You can only choose between parallel and serial modes.
References:
Introduction to Bulk API 2.0 and BulkAPI
Use Bulk API 2.0 Unit
NEW QUESTION # 21
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