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| Section | Objectives |
|---|---|
| Event-Driven Architecture | - Event messaging systems
|
| Data Integration and Management | - Data transformation and mapping
|
| Middleware and Integration Platforms | - Integration middleware
|
| API and Connectivity | - API-led connectivity
|
| Security and Identity | - Authentication mechanisms
|
| Integration Architecture Fundamentals | - Integration concepts and patterns
|
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NEW QUESTION # 72
Northern Trail Outfitters (NTO) use Salesforce to track leads, opportunities, and to capture order details.
However, Salesforce isn't the system that holds or processes orders. After the order details are captured in Salesforce,an order must be created in the remote system, which manages the orders life cylce. The Integration Architect for the project is recommending a remote system that will subscribe to the platform event defined in Salesforce.
Which integration pattern shouldbe used for this business use case?
Answer: A
Explanation:
The Fire and Forget pattern is suitable for this business use case because it allows sending a message from Salesforceto the remote system without waiting for a response or acknowledgement. This reduces the latency and complexity of the integration and enables asynchronous processing of the orders in the remote system. The platform event defined in Salesforce can be used to publish the order details to the remote system, which can subscribe to the event and create the order accordingly1
NEW QUESTION # 73
Universal Containers (UC) support agents would like to open bank accounts on the spot. During the process, agents execute credit checks through external agencies. At any given time, up to 30 concurrent reps will be using the service. Which error handling mechanisms should be built to display an error to the agent when the credit verification process has failed?
Answer: B
Explanation:
In a synchronous Request-Reply scenario where a bank agent is waiting "on the spot" for a credit check, the error-handling strategy must balance immediate feedback with system resilience.
Option A is the recommended architectural approach for enterprise resiliency. By placing a Middleware layer (like MuleSoft) between Salesforce and the credit agencies, the architect can implement sophisticated error- handling patterns that are invisible to the user but critical for success. If a credit agency's API is momentarily unreachable, the middleware can perform automated retries (e.g., three attempts with 500ms intervals). If the retries still fail, the middleware sends a clean, structured error response back to Salesforce.
Option B (Fire and Forget) is fundamentally unsuitable for this use case because the agent needs the result immediately to open the account; they cannot wait for a callback that might arrive hours later. Option C (Mock service) is only a testing tool and provides no value in a production environment where real financial data is required. By delegating the retry logic to the middleware, the architect protects Salesforce's concurrent request limits (since the agent only occupies a thread for the duration of the final response) and ensures that transient network issues do not result in a "failed" bank account application for the customer.
NEW QUESTION # 74
A new Salesforce program has the following high level abstract requirement: Business processes executed on Salesforce require data updates between the internal systems and Salesforce Which three relevant details should a Salesforce Integration Architect seek to specifically solve for Integration architecture needs of the program?
Which three relevant details should a Salesforce Integration Architect seek to specifically solve for Integration architecture needs of the program?
Choose 3 answers
Answer: A,B,D
Explanation:
Explanation
The correct answer is A, C, and D. These are three relevant details that a Salesforce Integration Architect should seek to specifically solve for Integration architecture needs of the program. These details can help the Integration Architect to understand the scope, requirements, and constraints of the integration solution, and to choose the appropriate tools, methods, and patterns. The details are:
Source and Target system, Directionality, data volume & transformation complexity along with any middleware that can be leveraged. This detail can help the Integration Architect to identify the systems involved in the integration, the direction of data flow, the amount and complexity of data to be exchanged, and the middleware or platform capabilities that can facilitate the integration.
Timing aspects - real-time/near real-time (synchronous or asynchronous), batch; update frequency. This detail can help the Integration Architect to determine the latency, reliability, and scalability requirements of the integration solution, and to choose the suitable integration protocols and techniques.
Integration Style - Process based, Data based, Virtual integration. This detail can help the Integration Architect to select the appropriate integration style that matches the business needs and objectives.
Process based integration focuses on orchestrating business processes across systems, data based integration focuses on synchronizing data across systems, and virtual integration focuses on providing a unified view of data across systems.
References: Certification - Integration Architect - Trailhead, [Integration Patterns and Practices]
NEW QUESTION # 75
Sales representatives at Universal Containers (UC) use Salesforce Sales Cloud as their primary CRM. UC owns a legacy homegrown application that stores a copy of customer dataas well. Sales representatives may edit or update Contact records in Salesforce if there is a change.
Both Salesforce and the homegrown application should be kept synchronized for consistency. UC has these requirements:
1. When a Contact record in Salesforce is updated, the external homegrown application should be
2. The synchronization should be event driven.
3. The integration should be asynchronous.
Which option should an architect recommend to satisfy the requirements?
Answer: A
Explanation:
Leverage Change Data Capture to track changes to the Contact object and write a CometD subscriber on the homegrown application. This solution meets the requirements of keeping Salesforce and the homegrown application synchronized for consistency, using event-driven and asynchronous integration. Change Data Capture is a feature that allows you to receive near real-time notifications of changes to Salesforce records, such as inserts, updates, deletes, and undeletes. You can use Change Data Capture to track changes to the Contact object, and publish them as events to an event bus. CometD is a protocol that allows you to subscribe to events from the event bus using a streaming API. You can write a CometD subscriber on the homegrown application, and use it to receive the events and update the customer data accordingly.
References: Certification - Integration Architect - Trailhead, [Change Data Capture Developer Guide],
[Streaming API Developer Guide]
NEW QUESTION # 76
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 # 77
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