# How do you test your machine learning models for production? Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/questions/3435/test-machine-learning-models-production Source observed: 2026-11-05T01:25:56.456Z Last checked: 2026-11-05T01:25:56.456+00:00 Indexed: 2026-11-07T03:15:24.035+00:00 --- # How do you test your machine learning models for production? We provide this interview question for people preparing for machine learning roles. It is categorized as a **Concept** question for **Machine Learning Engineer** interviews and is associated with **Meta**. The question has been marked as **last asked 3 years ago**. [All Questions](https://www.aced.io/questions) ## Access and answering Detailed company statistics for this question are available through [Upgrade](https://www.aced.io/upgrade?src=questions). To submit an answer, log in or [sign up](https://www.aced.io/signup?src=nav). Submitting an answer marks the question complete. ## Community answers No community answers have been contributed yet. ## Related questions - [How do you choose a loss function for a machine learning problem?](https://www.aced.io/questions/3533/choose-loss-function-machine-learning) - [How do you split a machine learning dataset for training, evaluation, and testing?](https://www.aced.io/questions/1599/split-machine-learning-dataset) - [Tell me about a time you deployed a machine-learning model into production. How did it fit into the production environment and what tools did you use?](https://www.aced.io/questions/3756/deploying-machine-learning-model-production) ## Related courses ### [Machine Learning Engineer Interview Prep](https://www.aced.io/courses/ml-engineer) ![Machine Learning Engineer Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/6UfkHxUyLQVfDHSfLNQtWa/1be1539a65b4f6f15201f5b573c0a578/ML_Engineer_Interview_Prep_Course.jpeg?w=800&h=800&fm=webp&q=75) We prepare candidates for machine learning roles at Meta, Google, Amazon, Apple, Microsoft, Nvidia, and other top companies. 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