MLOps

Question 2

What is CI/CD for ML?

Answer 2

Continuous integration and deployment applied to ML workflows.

Question 3

What is MLflow?

Answer 3

An open-source platform for tracking experiments, packaging code, and deploying models.

Question 4

What is Weights & Biases?

Answer 4

A tool for experiment tracking, visualization, and collaboration.

Question 5

What is model versioning?

Answer 5

Tracking changes to models over time for reproducibility.

Question 6

What is pipeline orchestration?

Answer 6

Managing and scheduling workflows, e.g., with Airflow or Kubeflow.

Question 7

What is model registry?

Answer 7

Repository for storing and managing trained models.

Question 8

What is scalability in ML?

Answer 8

Ability to handle increased workloads or data volumes efficiently.

Question 9

What is blue-green deployment?

Answer 9

Switching traffic between two environments for zero-downtime updates.

Question 10

What is data versioning?

Answer 10

Tracking dataset changes for reproducibility.

Question 11

What is monitoring drift?

Answer 11

Detecting changes in input data distribution or prediction quality.