Data storage questions are not only about theoretical knowledge, but also about practical skills. Therefore, you need to demonstrate your skills in using data storage tools and techniques, and show your ability to apply them to real-world problems. For example, you could show your skills in creating, manipulating, and querying data tables using SQL, or in importing, exporting, and processing data files using Python. You should also use appropriate syntax, formatting, and comments when writing code, and use
tags to display your code blocks.
###### Follow best practices
Data storage questions are also an opportunity to show your professionalism and adherence to best practices in data storage. Therefore, you need to follow best practices in designing, implementing, and managing data storage solutions, and avoid common pitfalls and errors. For example, you could follow best practices in naming conventions, data modeling, normalization, indexing, backup, and recovery. You should also explain the rationale and benefits of following best practices, and how they would improve the quality, consistency, and efficiency of your data storage solution.
###### Learn from feedback
Data storage questions are not meant to test your knowledge and skills, but to assess your potential and fit for the role. Therefore, you need to learn from feedback, and use it to improve your answer and performance. For example, you could ask for feedback from the interviewer, and listen to their comments and suggestions. You could also thank them for their feedback, and show your willingness and enthusiasm to learn more and grow in the role. You should also reflect on your own answer, and identify your strengths and weaknesses, and how you could improve them.
######Here’s what else to consider
This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?