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Best way is probably to deploy an application using Amazon Web Services. I got started by using BitNami Cloud Hosting for Open Source Applications, Using a micro instance under AWS free tear and it was a quick way to learn. The developer plan at bitnami is also free as long as you stick to the AWS free tear guidelines. Add a static IP (also free, just make sure its attached to a running server) to link external domains and you can start playing around with AWS in less then 30 minutes. All of this free for a year. Through bitnami you can run some prepared open source apps for AWS. This should provide a nice starting point for working with AWS.(also, about price: if you expect fluctuations in server requirement AWS might be the best option. If expecting consistant server usage you might want to look at VPNs, about the course... probably not worth the money, but I don't know. I just know that trying out the product worked exceptionally for me. There is free info everywhere.)

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As many as you want to !

Thanks for the A2A.I am assuming you would be starting from scratch into your preparation of Data Structure and Algorithms, having a little knowledge of these. There is no time frame as such in which you can prepare things since the things that can be asked here are open ended. Someone can always make an entirely new question, never heard or seen before by anyone else.Also, everyone has their own grasping levels and the time they can dedicate learning this, so it varies from person to person as to how long it will take them to get fluent with devising new algorithms for unknown problems. No one is perfect at it and no one will ever be, because of its very nature of being open ended.Moreover, you need to first understand the difference between companies such as Google, Microsoft, Amazon, Facebook etc and other software companies.How are their engineers different?What extra thing does it take to get into these for engineering positions?Why do engineers in these companies get paid higher (and much higher in some countries) as compared to other companies ?Yes, engineers in these companies and other companies write code as well. The main difference comes in terms of day to day responsibilities and ownership. In these companies, you own your module completely and you have to come up with the design of the piece of software you will be writing to solve a problem. Coding part is just the implementation and roughly takes 20-30% of the time allotted to a project. Most of the time goes into designing things with the best and optimum algorithms to save on company’s resources(servers, computation power, storage etc). This is the main reason why interviews in these companies are focused on algorithms as they want people who can think out of the box to design algorithms which can save the company thousands of dollars.So the bottomline is that you have to be good at Data Structures and Algorithms to get into these. There is no other alternative to it. About the coding part during the interviews, after algorithm is discussed for a problem, the candidate is expected to write clear code which is syntactically and semantically correct. So that has to be practiced extensively. One backend language will do among any of C, Java, Python etc. People prefer C usually since it is simplest among all to understand and is closer to machine in terms of handling memory allocation, pointers and garbage collection.Use the time to prepare well for Tree and Graph Algorithms, Dynamic Programming, Backtracking, Greedy Algorithms etc. These are always the hot topics for interviews at these companies.There are some good interview experiences, MCQs, Puzzles, HR and Design Questions with appropriate answers on Hub for GeekyPrep.com. Join us, Prepare for Interviews, Get Hired!!.For coding practice online you can checkout HackerEarth - Programming challenges and Developer jobs and HackerRankGood luck!

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