AI-102 Question 284
Single answerYou are designing a solution to manage and back up a Language Understanding (LUIS) model used for an enterprise chatbot. The chatbot is critical to business operations, and you need to ensure the model can be restored in case of accidental deletion or corruption. Which approach should you use to back up and recover the LUIS model?
- A
Export the LUIS model as a JSON file and store it in a secure location such as Azure Blob Storage.
- B
Enable Azure Backup on the LUIS resource to automatically back up the model.
- C
Create a snapshot of the Azure Cognitive Services resource hosting the LUIS model.
- D
Use the Azure Resource Manager (ARM) template to back up the LUIS model configuration and data.
Show answer and explanation
Correct answer: A
Explanation
The best way to back up a LUIS model is by exporting it as a JSON file, which contains all the necessary data to recreate the model. This file can be stored in a secure location, such as Azure Blob Storage, for recovery purposes. Other options, such as Azure Backup or ARM templates, do not natively support LUIS model backup and recovery.
- A. Correct.
Exporting the LUIS model as a JSON file is the recommended approach for backing up the model. This allows you to store a copy of the model's structure, intents, entities, and utterances, which can be imported back into a new or existing LUIS resource if needed.
- B. Incorrect.
Azure Backup is not a supported method for backing up LUIS models. It is primarily used for backing up virtual machines, databases, and other supported resources.
- C. Incorrect.
Creating a snapshot of the Azure Cognitive Services resource does not back up the LUIS model itself. LUIS models need to be backed up explicitly using export functionality.
- D. Incorrect.
ARM templates can be used to deploy infrastructure or resources but cannot directly back up or restore the content of a LUIS model. They are not suitable for this scenario.