Technical Interview Questions: How to Prepare (India, 2026)

Last updated: 21 September 2026 · By the Asuraa Team

What are technical interview questions?

Technical interview questions test whether you can do the work the role needs. Coursera's guide to technical interview questions (updated 22 June 2026) says they fall into three groups: tools questions, process questions and situational questions.

They are common in engineering and data roles, and they also appear in marketing, finance and sales. This post gives you a method to prepare for any of them, and separate posts cover Python and SQL in depth.

What do interviewers actually evaluate?

They evaluate how you think and communicate, along with what you know. HackerRank's technical interview guide names four things: problem-solving ability, technical depth, communication and code quality.

That changes how you should practise. A correct answer you cannot explain scores lower than a partly correct answer that shows clear reasoning and a sensible next step.

What types of technical questions will you face?

Expect a mix of these, weighted by the role. The table combines Coursera's three groups with the topic areas HackerRank lists.

The first three rows use Coursera's own examples. For the last row, use the STAR method for behavioural questions.

Situational questions are where freshers often freeze. For the missing-values example, a sensible structure is to ask how much matters and why the values are missing, describe two or three options such as dropping, filling or flagging them, and explain how you would check the effect. That is our suggested structure, and the interviewer mainly wants to see the reasoning.

How do you prepare for technical interview questions?

Work from the job description outward. Coursera advises reviewing the posting for required and recommended skills, practising with mock interviews, researching the company's tools and preparing two or three questions of your own.

Follow these steps:

1. List the skills the posting repeats. Rank them by how central they are to the role.
2. Rate yourself candidly on each. Mark them strong, shaky or missing.
3. Fix shaky skills first. Fundamentals come before advanced topics, which matches HackerRank's advice to master fundamentals first.
4. Practise under timed conditions. HackerRank recommends timed practice that mirrors the real interview.
5. Prepare project stories. Be ready to explain every project on your resume, including choices you made and what you would change.
6. Run a mock interview aloud. Ask a friend, or record yourself and listen back.

Our general plan in how to prepare for a job interview covers research and logistics.

How long should you prepare?

HackerRank's guide suggests a four to six week plan built on consistent daily practice, not last-minute cramming. That fits a first job search where you have time.

If your interview is in a week, do not try to cover everything. Cover the skills named in the posting, and use the extra days for mock answers. Treat the weekly split below as our own suggestion.

How should you answer while thinking aloud?

State the problem in your own words, describe your approach, then write it. Coursera says to talk through your thought process so the interviewer can see your reasoning. HackerRank says to explain your approach and its complexity before you code.

Here is an illustrative example. The question is: find the first repeated number in a list.

Say: "I can scan once and remember what I have seen in a set. If the current number is already in the set, it is the first repeat, so I return it. That is one pass, so time is proportional to the list length, and the set uses extra memory."

def first_duplicate(nums):
    seen = set()
    for n in nums:
        if n in seen:
            return n
        seen.add(n)
    return None

print(first_duplicate([3, 1, 4, 1, 5, 9, 2, 6, 5]))  # 1
print(first_duplicate([1, 2, 3]))                     # None

We ran this code and it prints 1 and then None. Finish by testing an edge case such as an empty list, which returns None.

What if you do not know the answer?

Say what you know, ask a clarifying question and offer a related idea. Coursera advises that if you are unfamiliar with a specific tool, you mention similar tools you have mastered, and that you use a knowledge gap as a chance to show off your approach.

A calm "I have not used that, but here is how I would find out" is better than silence or a guess dressed up as fact. Interviewers often care about how you handle the gap.

What do most guides on technical interview questions get wrong?

Most guides give a long list of questions and model answers. These gaps matter more.

• They encourage memorising. Follow-up questions expose memorised answers, and HackerRank advises understanding concepts instead.
• They skip communication. Interviewers score how you explain, so silent coding loses marks even when the code works.
• They ignore your own resume. Every tool and project you list is fair game, so trim what you cannot discuss. Our AI resume reviewer can show whether your resume matches the posting.
• They treat all roles the same. Read the posting first, then choose the topics. For a software role, see our software engineer interview questions.

FAQ

What are technical interview questions?

They are questions that test the skills a role needs. Coursera groups them into tools questions, process questions and situational questions. They appear in engineering and data roles, and also in fields such as marketing, finance and sales, so the content depends on the job.

How do I prepare for a technical interview?

Read the job posting for required skills, practise with mock interviews, and revisit the tools the company uses. HackerRank recommends steady daily practice over cramming, so a four to six week plan suits most candidates. Explain your reasoning aloud while you practise.

How long does it take to prepare for a technical interview?

HackerRank's guide suggests a four to six week study plan built on consistent daily practice. If your interview is sooner, cut the plan down to the skills named in the job description. Fundamentals matter more than the number of problems solved.

What if I do not know the answer to a technical question?

Say what you do know and ask a clarifying question. Coursera advises using a knowledge gap as a chance to show your approach, and mentioning a similar tool you have used if the exact one is unfamiliar. Never guess silently or pretend to know.

Do I need to memorise answers for technical interviews?

No. HackerRank's guide says to understand concepts and not memorise answers, because interviewers probe with follow-up questions. Learn why an approach works, practise explaining it in your own words, and keep a few examples from your projects ready.

Can a fresher clear a technical interview without work experience?

Yes, because interviewers for entry-level roles mostly test fundamentals and how you think. Projects, internships and coursework give you material to discuss. Prepare to explain each project on your resume in depth, including the trade-offs you made and what you would change.

Final thoughts

Technical interviews reward steady practice, clear thinking and honest gaps. Build your plan from the job description, practise aloud and know your projects well.

While you prepare, keep the roles you want in view, and match your practice to what their postings ask for.