Familiarize yourself with common interview questions and think about the types of experiences you can discuss that demonstrate your skills and abilities. Show that you’re a quick learner and don’t be afraid to ask questions during the interview. Be honest and let your personality shine through.
Data structures and algorithm questions are a crucial part of the interview, especially for roles related to Data Science and Java. Companies like Amazon focus on these areas because they can be scaled according to the candidate’s knowledge level. Most of the work at Amazon involves storing and providing access to data efficiently, which requires a strong background in data structures.
If you have no prior knowledge of data structures and algorithms, consider taking a course like the Data Structures and Algorithms – Self-Paced course offered by GeeksforGeeks. This course doesn’t require any prior knowledge of DSA and covers the entire course using C++ and Java, two demanding programming languages.
Additionally, practice solving well-known coding problems using different techniques and visualize critical operations, implementations, and use cases for each data structure to improve your understanding. Resources like LeetCode, HackerRank, and AlgoExpert can be helpful for this.
Finally, be comfortable discussing projects you’ve done in the past or during your internship. The interviewer will likely ask questions about these, so make sure you understand them thoroughly. Try to get all the test cases passed for both the questions and explain your solution clearly, as your code will likely be reviewed by engineers who will make the final decision.