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Answer: Regularly export the model's data and store it in a secure location.
Regularly exporting the model's data and storing it in a secure location is the most effective way to backup the model and ensure its recovery in case of data loss or system failure. Re-training the model periodically (Option B) is important for maintaining its accuracy but does not address the backup and recovery aspect. Monitoring the model's performance (Option C) is crucial for identifying issues but does not provide a solution for data loss. Implementing a disaster recovery plan for the entire system (Option D) is a good practice, but it should also include specific steps for backing up and recovering the language understanding model.
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You need to backup and recover a language understanding model in case of data loss or system failure. Which of the following steps should you follow?
A
Regularly export the model's data and store it in a secure location.
B
Re-train the model periodically to ensure it stays up-to-date.
C
Monitor the model's performance and make improvements as needed.
D
Implement a disaster recovery plan for the entire system, including the model.