Answer-first summary for fast verification
Answer: Ensure that training is reproducible.
The correct answer is A: Ensure that training is reproducible. Although monitoring model performance (option C) is crucial for the production phase, the question is about production readiness before launching. Ensuring that training is reproducible is a critical step to verify that the model can be reliably retrained and will perform consistently across different environments. This is a foundational aspect of model QA prior to production deployment. Therefore, reproducibility should be assured before launching the model into production.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You recently joined a machine learning team that will soon release a new project. As a lead on the project, you are responsible for assessing the production readiness of the ML components. The team has already conducted extensive testing on features and data, model development, and infrastructure to ensure quality and robustness. Given that these aspects have been tested, which additional readiness check should you recommend to ensure the model's successful deployment and operation in a production environment?
A
Ensure that training is reproducible.
B
Ensure that all hyperparameters are tuned.
C
Ensure that model performance is monitored.
D
Ensure that feature expectations are captured in the schema.
No comments yet.