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In ML, precision and recall are considered important metrics for model evaluation. Can you explain the concept of these two metrics and discuss some factors that can affect their reliability?

Outline the components of a distributed load balancing system that ensures session persistence and SSL termination.

What tools or techniques do you use to calculate a customer's lifetime value?

What do you think the ROC curve brings to the table when it comes to machine learning?

How would you approach designing a financial data system that ensures data consistency and minimal latency?

How would you describe the time complexity characteristic of SVM training? Can you describe the time complexity for the inference phase in SVMs? Can you compare the time complexities for training and inference in SVMs with linear and RBF kernels?

How would you write a function that wraps text into lines of a certain length, breaking only at spaces?

Can you write an algorithm to find the integer that introduces a problem in an array of sorted integers from 0 to n? Ensure that your solution has a time complexity of O(log n).

Have you faced any challenges in detecting anomalies and how did you overcome them?

What is your understanding of why feature selection plays such a critical role in machine learning?