How to Optimize Data Integration for Peak Loads in Microsoft Dynamics 365?
Table of Contents
Question
At your company, you are responsible for optimizing the data integration process for a high-volume e-commerce platform that interacts with Microsoft Dynamics 365 finance and operations apps. The platform experiences variable transaction loads, with peak times during sales events.
You need to select an integration pattern that can handle the current and future transaction loads efficiently, even when they exceed normal expectations.
What integration pattern should you use?
Select only one answer.
A. Embedding for UI integration
B. Real-time or synchronous for immediate data transfer
C. One-way sync for simple data transfer
D. Batching to group messages and reduce overhead
Answer
D. Batching to group messages and reduce overhead
Explanation
Batching is the correct answer because it groups messages, which reduces overhead and can handle high and variable transaction loads efficiently. Real-time or synchronous is incorrect as it is not suitable for high-volume transactions and can lead to system dependency and sensitivity to delays. Embedding is incorrect as it is primarily for UI integration and does not address the need to manage high transaction loads. One-way sync is incorrect because it does not provide the scalability needed for variable transaction loads.
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