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What hurdles do you encounter while training deeply layered neural networks?

What algorithm would you use to generate a binary tree from given preorder and inorder traversals?

Imagine you're building a metric to compare two user's Netflix recommended lists of movie/tv show preferences. What factors would you prioritize in the development process?

How do you determine the sample size for an A/B test, and what factors do you consider? How do you interpret the results of an A/B test, and what factors do you consider when deciding whether to implement the changes?

Can you explain your process for analyzing data, from acquiring the data to sharing the results with stakeholders?

Tell me about the probability of type 1 errors. If we modify the sampling distribution and disregard all measurements below the mean, what would be the outcome in terms of making type 1 errors?

How do you adjust for data skewness when assessing the performance of a model, and what are your go-to metrics?

Can you show how to construct a function dedicated to reversing strings?

How do batch normalization and dropout techniques improve neural network performance?

How would you describe yourself and why do you think that you should be hired by MongoDB?