Practice for the Pacific Northwest National Laboratory interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
ML Ops | Medium | |
Let’s say we’ve built a churn prediction model for a subscription service using user behavior data from the past 12 months, and now we want to deploy it to production and also apply it to a new user segment that wasn’t in our original training data. How would you approach preparing the model for deployment and ensuring it generalizes well to the new dataset? | ||
SQL | Easy | |
A/B Testing | Medium | |
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
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