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MB-500: What Is the Best Strategy to Handle Large Data Volumes in Dynamics 365 OData API Calls?

Table of Contents

Question

Your company is experiencing performance issues with their batch OData API calls in Microsoft Dynamics 365 finance and operations apps.

You need to optimize the performance of the OData API calls to handle large volumes of data efficiently.

What should you do?

Select only one answer.

A. Implement server-driven paging in the OData API to manage data load.
B. Disable all data validation rules in the application to speed up data processing.
C. Consolidate multiple OData API calls into a single call to reduce the number of requests.
D. Increase the timeout settings for the OData API calls to allow longer processing times.

Answer

A. Implement server-driven paging in the OData API to manage data load.

Explanation

Implementing server-driven paging is the correct solution to optimize performance for handling large volumes of data in OData API calls. Increasing timeout settings may lead to longer wait times and does not address the root cause of performance issues. Consolidating multiple API calls into one can lead to complex and unmanageable code. Disabling data validation rules compromises data integrity and is not a recommended practice.

Microsoft Dynamics 365: Finance and Operations Apps Developer MB-500 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Dynamics 365: Finance and Operations Apps Developer MB-500 exam and earn Microsoft Dynamics 365: Finance and Operations Apps Developer MB-500 certification.