Which of the following is NOT a deployment strategy for machine learning models?
Practice Questions
Q1
Which of the following is NOT a deployment strategy for machine learning models?
Blue-Green Deployment
Canary Release
A/B Testing
Data Augmentation
Questions & Step-by-Step Solutions
Which of the following is NOT a deployment strategy for machine learning models?
Step 1: Understand what deployment strategies are. These are methods used to put machine learning models into production so they can be used in real applications.
Step 2: Identify common deployment strategies. Examples include A/B testing, canary releases, and blue-green deployments.
Step 3: Recognize what data augmentation is. It is a technique used to increase the diversity of training data by applying transformations like rotation or flipping to the original data.
Step 4: Compare data augmentation with deployment strategies. Since data augmentation is used during the training phase and not when the model is being deployed, it does not qualify as a deployment strategy.
Step 5: Conclude that data augmentation is NOT a deployment strategy for machine learning models.
