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Can you demonstrate how to create a normal distribution of 1000 data points with a mean of x and variance of y in R, perform a statistical summary, and plot the density? Follow this by executing the same in Python using the Codility platform.

Design a distributed key-value store.

Design a system for managing a content delivery network (CDN).

How would you architect a scalable search engine that can index billions of documents?

When might overfitting and underfitting occur in a real-world setting? What are some of the effects these occurrences can have on model accuracy and performance?

What insights can you provide about employing a confusion matrix versus an ROC curve in evaluating model accuracy?

What would be your approach to implementing a function that wraps text to a specified character length, ensuring it splits at spaces?

Create a platform for distributed continuous integration and deployment management.

What does the journey of a machine learning model look like from initial training to final deployment?

Can you elaborate on the BERT structure and why it's better than the BiLSTM in practical applications?