MLS-C01 · Question #325
An insurance company developed a new experimental machine learning (ML) model to replace an existing model that is in production. The company must validate the quality of predictions from the new expe
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Question
An insurance company developed a new experimental machine learning (ML) model to replace an existing model that is in production. The company must validate the quality of predictions from the new experimental model in a production environment before the company uses the new experimental model to serve general user requests. New one model can serve user requests at a time. The company must measure the performance of the new experimental model without affecting the current live traffic. Which solution will meet these requirements?
Options
- AA/B testing
- BCanary release
- CShadow deployment
- DBlue/green deployment
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