Which of the following is NOT a common challenge in model deployment?
Practice Questions
Q1
Which of the following is NOT a common challenge in model deployment?
Model versioning
Data drift
Hyperparameter tuning
Latency issues
Questions & Step-by-Step Solutions
Which of the following is NOT a common challenge in model deployment?
Step 1: Understand what model deployment means. It is the process of making a trained model available for use in real-world applications.
Step 2: Identify common challenges in model deployment. These can include issues like scaling the model, ensuring it runs efficiently, and integrating it with existing systems.
Step 3: Recognize that hyperparameter tuning is a process used during model training to improve the model's performance by adjusting settings.
Step 4: Conclude that hyperparameter tuning is not a challenge faced during deployment, as it is not part of the deployment phase.
