How to Ensure Error-Free Data Migration to Dynamics 365 Using Best Practices?
Table of Contents
Question
You are setting up a data migration process from a legacy system to Microsoft Dynamics 365 finance and operations apps. The legacy system contains complex customer and vendor data that needs to be migrated while ensuring data integrity and minimal downtime.
You need to ensure that the data import process can handle errors effectively without halting the entire process.
What should you do? Each correct answer presents a complete solution. Choose three.
Select all answers that apply.
A. Manually import data entity files one at a time to isolate and address errors, disregarding the use of the data management framework.
B. Configure the data management framework to halt the entire import process upon encountering any errors, ensuring no faulty data is migrated.
C. Use the data management framework to create a data project and set up a recurring data job with error handling to skip faulty records.
D. Enable change tracking for entities in the data management framework to monitor the status and availability of entities during the import process.
E. Implement an asynchronous integration pattern using the data management framework to sequence data entities and manage import errors.
Answer
C. Use the data management framework to create a data project and set up a recurring data job with error handling to skip faulty records.
D. Enable change tracking for entities in the data management framework to monitor the status and availability of entities during the import process.
E. Implement an asynchronous integration pattern using the data management framework to sequence data entities and manage import errors.
Explanation
The correct answer is to use the data management framework to create a data project and set up a recurring data job with error handling to skip faulty records, enable change tracking for entities in the data management framework to monitor the status and availability of entities during the import process, and implement an asynchronous integration pattern using the data management framework to sequence data entities and manage import errors. Manually importing data entity files one at a time is time-consuming and does not utilize the capabilities of the data management framework. Configuring the data management framework to halt the entire import process upon encountering any errors does not meet the requirement of skipping faulty records.
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