You are a Dynamics 365 Finance system administrator.
You manage a system that imports a large volume of sales orders from multiple systems daily.
The system encounters a performance problem due to the amount of data.
You need to improve performance for the import.
What should you do?
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A. B. C. D.C.
To improve performance for importing a large volume of sales orders in Dynamics 365 Finance, you should configure entity execution parameters to make the data import multi-threaded.
Option A, creating an ODBC-type source data format and importing directly from the database, may not necessarily improve performance as it depends on the size of the data and how the import is configured.
Option B, enabling data import in recurrence, may not help improve performance as it only enables scheduled data imports and does not address the performance issues caused by a large volume of data.
Option D, enabling change tracking for the data entities, is not related to improving performance for importing large volumes of data. Change tracking is a feature that enables tracking of changes made to data entities over time.
Configuring entity execution parameters to make the data import multi-threaded is the best option for improving performance in this scenario. Multi-threading allows the system to use multiple threads to process the data, which can significantly reduce the time required for importing large volumes of data.
To configure entity execution parameters for multi-threading, you need to go to the Data Management workspace in Dynamics 365 Finance and Operations. From there, you can select the relevant data entity and configure the entity execution parameters. Under the Performance tab, you can specify the number of threads to use for processing the data.
By default, the maximum number of threads is set to 10. However, you can increase or decrease this number depending on the size of the data and the available system resources. Increasing the number of threads may improve performance, but it can also increase system resource usage. It is important to test and monitor the system to ensure that the optimal number of threads is used for importing the data.