In an integration scenario where records have to be updated frequently, what should be considered for efficiency?

Utilizing Bulk API for massive record handling is the most efficient approach in a scenario where records need to be updated frequently. The Bulk API is designed to handle large volumes of data more effectively than standard APIs. It allows for asynchronous processing, which means that data can be processed in batches, significantly reducing the load on the system and improving performance. This is particularly beneficial when dealing with frequent updates, as it minimizes the number of individual requests made to the server, leading to reduced overhead and faster processing times.

In contrast, implementing fixed intervals for data push may not align with the real-time needs of frequent updates, as it could introduce delays or create inefficiencies in the integration process. Ensuring a single direction data flow could limit flexibility, as the ability to handle bi-directional data may be necessary depending on the business requirements. Creating dedicated integration users may enhance tracking and governance but does not directly address the efficiency required for handling frequent updates in terms of data movement and processing.