Blue-Green ML Deployments Quiz
Quiz covering CI/CD for ML
Blue-Green ML Deployments Quiz
5 questions | Pass: 70% | Earn 25 points
Questions in this quiz
A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.
- 1
What is the primary goal of a Blue-Green deployment strategy in machine learning?
- 2
In a Blue-Green deployment for an ML service, what is the role of the load balancer?
- 3
Which of the following is a critical prerequisite for a successful Blue-Green deployment of an ML model?
- 4
During a Blue-Green deployment, you notice the Green environment is experiencing high latency. What is the standard next step?
- 5
When implementing a Blue-Green deployment for a stateful ML model that relies on an external feature store, what is the most significant challenge to manage?
- Data Cleaning Techniques
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- Feature Scaling Normalization
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- Encoding Techniques
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- Glue DataBrew
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- SageMaker Feature Store
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- Ground Truth Labeling
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- SageMaker Training Jobs
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- Hyperparameter Tuning
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- Distributed Training
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- Fine-Tuning Models
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- Regularization Techniques
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- Model Registry
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- Ensemble Methods
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