Given a table 1B that contains telemarketing list user IDs and product IDs purchased by the user, another table maps product IDs to product names. We try to find pairs of products that are telemarketing list often purchased together by the same user, for example: wine and corkscrews, chips and beer. How to find the most popular 100 pairs of products? Please describe in detail the difference between L1 regularization telemarketing list and L2 regularization, especially their different effects on the model training process. Suppose you have 100,000 files spread telemarketing list across telemarketing list multiple servers, and you want to process all of them, how do you operate on Hadoop? What is the difference between Python and Scala? Explain LRU Cache. How would you design a client-server model that sends location data every minute? telemarketing list How do you transfer data from one Hadoop cluster to another Hadoop cluster? What are the different memory types in Java? How do you deal with the day-to-day chores that go hand-in-hand telemarketing list with processing metadata for hundreds of titles? In terms of data flow and accessibility, how do you measure success in the hidden time frame of overloading the core over a complex file system—that is, telemarketing list redirecting computer energy to the boundary structure of the cellar dome? If you could have one superpower, what would it be? You have time series sensors, predicting the next data.