To allow an external system to push data into Dataverse efficiently, which should you use?

The correct choice for allowing an external system to push data into Dataverse efficiently is the use of alternate keys. Alternate keys serve as unique identifiers for records in Dataverse, which can enhance the efficiency of data operations, particularly for external systems that may not use the GUIDs generated by Dataverse. By defining alternate keys, you can enable external systems to reference and manipulate records using more recognizable or meaningful identifiers, streamlining processes when synchronizing data.

Using alternate keys can lead to improved performance for upsert operations (updates or inserts) because it allows the system to search for records based on the alternate key rather than the default primary key. This capability is particularly beneficial in integration scenarios where consistency and accuracy are crucial, facilitating seamless data imports without creating duplicates or unnecessary overhead.

The other choices, while useful in different contexts, do not specifically address the need to efficiently push data into Dataverse. Change tracking is beneficial for maintaining and accessing data changes, but it does not directly facilitate data insertion from external systems. Azure Service Bus is designed for messaging and communication between services, making it suitable for integrating disparate systems but not directly pushing data into Dataverse. Azure Functions provides serverless compute capabilities that can be useful for various tasks, including data manipulation, but they need