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NEW QUESTION # 121
A company accepts payment requests 24/7. Once the company accepts a payment request, its service level agreement (SLA) r5equires it to make sure each payment request is processed by its Payment System. The co6mpany tracks payment requests using a globally unique identifier created at the Data Entry Point. The company's simplified flow is as shown in the diagram.
The company encounters intermittent update errors when two or more processes try to update the same Payment Request record at the same time.
Which recommendation should an integration architect make to improve the company's SLA and update conflict handling?
Answer: B
Explanation:
To fulfill the SLA of ensuring every payment is processed while simultaneously resolving the issue of intermittent update errors, the architect must introduce an orchestration layer capable of managing state and concurrency. In a high-volume payment environment, "Fire and Forget" messages (as seen in the provided diagram) can lead to race conditions if multiple threads attempt to update a single record simultaneously-a common challenge when scaling payment systems.
The recommendation to have Middleware coordinate request delivery and payment processing (Option C) transforms the architecture into a managed queueing system. By coordinating delivery, the middleware can act as a traffic controller, ensuring that requests are delivered sequentially or that appropriate locks are respected before an update is attempted. This orchestration allows the system to meet its SLA by implementing a "guaranteed delivery" pattern, where the middleware tracks the status of each payment and only "forgets" the message once the Payment System confirms successful processing.
Furthermore, the architect should emphasize idempotency by leveraging the globally unique identifier created at the Data Entry Point. The Payment System should be designed to use this identifier to check if a specific transaction has already been processed before attempting an update. This prevents duplicate entries and conflicting updates, even if the middleware retries a message due to a network timeout. While retries (Options A and B) are part of a resilient system, they do not solve the root cause of record contention; only the coordination and sequencing provided by the middleware can ensure a stable, conflict-free integration flow.78
NEW QUESTION # 122
Northern Trail Outfitters needs to make synchronous callouts "available to promise"services to query product availability and reserve inventory during customer checkout process.
Which two considerations should an integration architect make when building a scalable integration solution?
Choose 2 answers
Answer: B,D
Explanation:
The typical and worst-case historical response times, and how many concurrent service calls are being placed are two considerations that an integration architect should makewhen building a scalable integration solution for synchronous callouts to "available to promise" services. These two factors can affect the performance, reliability, and availability of the integration solution, as well as the user experience of the customer checkout process. Theintegration architect should design the solution to handle high volumes of service calls, optimize the response times, handle errors and timeouts, and avoid hitting governor limits or service quotas.
References: Certification - Integration Architect - Trailhead, [Callout Limits and Limitations], [Integration Patterns and Practices]
NEW QUESTION # 123
Northern Trail Outfitters' (NTO) Salesforce org usually goes through 8k-10k batches a day to synch data from external sources. NTO's Integration Architect has received requirements for a new custom object, FooBarc, for which 90M records will need to be loaded into the org. Once complete, 20GB (about 30M records) needs to be extracted to an external auditing system.
What should the architect recommend using to meet these requirements in a day?
Answer: A
Explanation:
Answer D is valid because using Bulk API 2.0 for both inserting and querying data canmeet the requirements of loading and extracting large volumes of data in a day. Bulk API 2.0 is a RESTful API that allows creating, updating, deleting, or querying millions of records asynchronously by uploading or downloading CSV or JSON files. Bulk API2.0 has several advantages over Bulk API 1.0, such as:
It does not count against the daily limit of 5,000 batches per rolling 24-hour period.
It supports PK Chunking for queries, which automatically splits large data sets into manageable chunks based onthe primary key.
It simplifies the job lifecycle and reduces the number of API calls needed to perform a bulk operation.
Answer A is not valid because using Bulk API 2.0 for inserting data and REST API for querying data is not an optimal solution for handling large volumes of data in a day. REST API is a synchronous API that allows creating, updating, deleting, or querying individual records or small batches of records using HTTP methods.
REST API has several limitations and drawbacks for this use case, such as:
It counts against the daily limit of 15,000 API requests per 24-hour period.
It does not support PK Chunking for queries, which means that large data sets may exceed the query timeout or heap size limits.
It requires more API calls and processing time to perform a bulk operation than Bulk API 2.0.
Answer B is not valid because using Bulk API 1.0 for both inserting and querying data is not a feasible solution for handling large volumes of data in a day. Bulk API 1.0 is a SOAP-based API that allows creating, updating, deleting, or querying millions of records asynchronously by uploading or downloading XML or CSV files. Bulk API 1.0 has several limitations and drawbacks compared to Bulk API 2.0, such as:
It counts against the daily limit of 5,000 batchesper rolling 24-hour period, which may not be enough to load and extract 90M and 30M records respectively.
It does not support JSON format for data files, which may not be compatible with some external systems or applications.
It requires more API calls andcomplexity to manage the job lifecycle and handle errors or retries than Bulk API 2.0.
Answer C is not valid because using Bulk API 1.0 for inserting data and REST API for querying data is not a suitable or reliable solution for handling large volumes ofdata in a day. As explained above, both Bulk API
1.0 and REST API have limitations and drawbacks that may affect the performance, efficiency, and scalability of the integration.
NEW QUESTION # 124
Northern Trail Outfitters needs a low-code, near real-time REST integration to an ERP when an Order is created. They have limited development resources. Which option should fulfill the use case requirements?
Answer: A
Explanation:
For a team with limited development resources and a low-code requirement, Lightning Flow (Flow Builder) is the primary declarative engine for modern integrations.
In this scenario, creating a Platform Event via a record-triggered flow provides a highly scalable, near real- time "Fire-and-Forget" signal to the middleware. This is considered low-code because it can be built entirely using point-and-click tools within Salesforce. Once the Order is created, the flow publishes the event to the bus. The middleware, acting as a subscriber, receives the event and orchestrates the REST call to the ERP.
Option C (Outbound Messaging) is also a low-code tool, but it natively sends messages in SOAP format.
Since the ERP requires a REST endpoint, using Outbound Messaging would necessitate additional transformation logic in the middleware, making it a less efficient architectural choice than using a Flow to trigger an event or an External Service. Option B (Change Data Capture) is a powerful tool but often requires more advanced "pro-code" configuration on the subscriber/middleware side to handle Replay IDs and Bayeux protocols, which might exceed the "limited resources" constraint of the Salesforce team.
NEW QUESTION # 125
A company's security assessment noted vulnerabilities on the un managed packages in their Salesforce orgs, notably secrets that are easily accessible and in plain text, such as usernames, passwords, and OAuth tokens used in callouts from Salesforce.
Which two persistence mechanisms should an integration architect require to be used to ensure that secrets are protected from deliberate or inadvertent exposure?
Choose 2 answers
Answer: C,D
NEW QUESTION # 126
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