Q&A

How do you approach software design interview questions?

How do you approach software design interview questions?

Try using the following steps to guide your discussion:

  1. Step 1 — Understand the Goals. Clarifying ambiguities early in the interview is critical.
  2. Step 2 — Establish the Scope.
  3. Step 3 — Design for the Right Scale.
  4. Step 4 — Start High-Level, then Drill-Down.
  5. Step 5 — Data Structures and Algorithms (DS&A)
  6. Step 6 — Tradeoffs.

How do you handle a coding interview?

Tips for How to Succeed in Coding Interviews

  1. Come up with a game plan. Before you start writing code, you should come up with a plan on how to tackle the problem.
  2. Always communicate.
  3. Always Test Your Code.
  4. Ask about the input.
  5. It’s okay to ask for help but not too much.

What is a programming interview like?

While the line-up of interviews may change, there’s almost always a programming interview: writing code on a whiteboard/computer, to solve some arbitrary problem, to answer the question “can this person actually write working code?”.

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What is the best way to prepare for an interview?

The steps I recommend are: After you are asked an interview question, start by clarifying what was asked. This is the time to be pedantic. Clarify every ambiguity you can think of. Ask about edge cases. Bring up specific examples of input, and make sure you are correct about the expected output.

How often do new programming languages emerge in job interviews?

New languages emerge frequently. Knowing what an applicant has learned recently will tell you whether that person has an interest in keeping up with newer languages. Some of the programmers that you interview may only know older, established languages like C++ and Python.

What questions should I ask in an interview about data structures?

If you need to use a data structure that the language does not support, such as a queue or heap in JavaScript, ask the interviewer if you can assume that you have a data structure that implements certain methods with specified time complexities.