Salesforce Integration-Architect Dumps

• Answer D is valid because using Bulk API 2.0 for both inserting and querying data can meet 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 API 2.0 has several advantages over Bulk API 1.0, such as:
• 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:
• 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:
• 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 of data 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.

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

 Both Platform Events and Outbound Message offer declarative means for asynchronous near-real time needs. They aren’t best suited for real-time integrations (A). In both Platform Events and Outbound Messages, the event messages are retried by and delivered in sequence, and only once. Salesforce ensures there is no duplicate message delivery (B). Message sequence is possible in Outbound Message but not guaranteed with Platform Events. Both offer very high reliability. Fault handling and recovery are fully handled by Salesforce ©. Number of concurrent subscribers to Platform Events is capped at 2,000. An Outbound Message configuration can pass only 100 notifications in a single message to a SOAP end point (D). Both Platform Events and Outbound Message are highly scalable. However, unlike Outbound Message, only Platform Events have Event Delivery and Event Publishing limits to be considered (E). Reference: Salesforce Integration Architecture Designer Resource Guide, page 23