Classical ML interview

Hi! I do not know if this is the place to make this question so my apologies if it is not. I will have a technical interview tomorrow and it will cover classical ML algorithms like knn, Random Forest or Xgboost. I’m aware of the theory behind those algorithms as I have studied them very well. However, I’m a little bit worried about the data preprocessing. What can they ask me? Data balancing, categorical data treatment?
Thank you in advance

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