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What is the significance of containerization in model deployment?
Practice Questions
Q1
What is the significance of containerization in model deployment?
It improves model accuracy
It simplifies the deployment process and ensures consistency
It reduces the need for data preprocessing
It eliminates the need for model monitoring
Questions & Step-by-Step Solutions
What is the significance of containerization in model deployment?
Steps
Concepts
Step 1: Understand that containerization is a way to package software so it can run anywhere.
Step 2: Know that when deploying a model, it needs to work on different computers or servers.
Step 3: Realize that containerization includes the model and everything it needs to run, like libraries and settings.
Step 4: Learn that this packaging ensures the model behaves the same way no matter where it is deployed.
Step 5: Conclude that containerization makes it easier and faster to deploy models without worrying about environment differences.
No concepts available.
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