TCS Prime Interview Experience 2027 batch I How He Cracked Prime Role| TCS NQT 2026| TCS NQT 2027

Main ideas / lessons conveyed

• TCS Prime selection journey (NQT → Prime role): The interviewee shares the end-to-end process after clearing TCS NQT and being selected for the Prime role.

• Exam experience and pattern changes (MQT/NQT context):

  • The overall test experience felt smooth.
  • The verbal ability pattern changed and felt easier for scoring than the prior version.

• High-yield topics in Numerical Ability:

  • Repeated high-weight areas included:
    • Percentages
    • Profit-loss
    • Simple interest
    • Compound interest
    • Mixture / alligation
  • Numerical questions were described as tougher and time-consuming, mainly due to longer problem statements requiring calculations and understanding.

• Coding section strategy and difficulty:

  • Two coding questions were given with different time limits:
    • 35 minutes for the first
    • 55 minutes for the second
  • Coding topics included:
    • A BST problem: “second largest element in BST / binary search tree”
    • A LeetCode-style problem: “find missing positive integer” (hard-tag mentioned)
  • Results reported:
    • For the first: passed all public + private test cases.
    • For the second: passed all public test cases, with some hidden/private still not visible.

• Preparation approach that worked:

  • Used YouTube heavily for TCS question trends (daily watching during the last month).
  • Completed 7–8 mock tests.
  • DSA approach: inconsistent college preparation, then intense focus in the last month; revised basics in the final days.
  • CS fundamentals approach: learned concepts from an “Iti/Its Mashers”-type channel (as referenced in subtitles), then cross-checked likely interview questions using ChatGPT.

• Technical/Managerial/HR interview structure and what mattered:

  • Three rounds (Technical, Managerial, HR) happened on the same day, with the technical round being prominent and long.
  • The technical interview was described as deep and conversation-like, not only Q&A.
  • Interview topics included:
    • Deep dives into his project
    • Authorization vs authentication and AI-related concepts
    • Questions around framework and website-related concepts
    • Live DSA coding on an A4 sheet with a pen, followed by approach explanation
    • Core subjects: OOP, DBMS, Operating Systems, Computer Networks
    • SQL query writing, including a specific question on RIGHT OUTER JOIN
    • Switching between managerial and technical topics within the same session
  • Managerial questions included:
    • Readiness for shifts (night/morning)
    • Daily routine questions (e.g., newspaper habit)
    • General awareness about TCS leadership/projects/employees
  • HR interview was separate, covering:
    • Preferred location
    • A friendly interaction

• How he handled an unknown question:

  • Used honesty + strategy:
    • If he didn’t know, he said he had read it before but couldn’t recall fully.
    • He communicated intent to focus/recall and assessed his approach/presence of mind.

• Resume/eligibility insight (important lesson):

  • A 1-page resume is best.
  • If you include projects, you should be able to explain everything about them.
  • He suggests many applicants didn’t get through because their resumes lacked AI-related elements, while candidates with AI skills received more consideration.
  • Resume should also reflect concrete skills and details such as:
    • Deployment and front-end tools (mentions Postman)
    • HTTP concepts/status codes (e.g., 404, 403, 402)
    • Relevant commands/technical specifics matching what’s written

• Final advice / mindset:

  • Don’t over-expect outcomes—placement involves luck + labour + chance.
  • Nervousness can hurt performance—manage tension and allow revision time.
  • Clearing can happen even if you solve only one coding question, and you can still clear even if you don’t solve both (overall numeric performance also matters).

---

Methodology / actionable instructions (as described)

Exam preparation strategy (last ~1.5 months)

• Coding / DSA

  • Use YouTube channels that discuss TCS question patterns.
  • Watch daily for coding question trends (especially during the last month).
  • Take 7–8 mock tests.
  • Final revision approach:
    • 1 day before: focus on basic questions
    • 2 days before: solve a sheet of ~50 basic questions (e.g., even-odd, primes, factorials, Fibonacci, basic pattern printing)

• Numerical Ability & Reasoning

  • Use topic-specific one-shots and targeted practice videos.
  • Focus on “high weightage” numerical topics:
    • Percentages
    • Profit-loss
    • Simple interest
    • Compound interest
    • Mixture / alligation
  • Practice understanding + calculation to reduce time spent on lengthy questions.

Interview preparation strategy

• Project readiness (high priority)

  • Be able to explain your project in depth:
    • Framework/architecture
    • Flow of the system
    • Authorization/authentication concepts
    • Any AI-related components (if included)

• DSA readiness

  • Expect live coding + approach explanation:
    • Write code on provided paper
    • After coding, describe the approach clearly

• Core subjects

  • Prepare basic-to-intermediate questions across:
    • OOP, DBMS, OS, Computer Networks, SQL

• Resume alignment

  • Ensure you fully know and can discuss everything on your resume:
    • Tools like Postman
    • HTTP status codes and request/response logic
    • Commands/technical specifics mentioned in your entries

Handling unknown questions in interview

• If you can’t recall:
  • State honestly that you don’t know right now
  • Mention you’ve studied/read it but can’t recall fully
  • Show intention to refocus/recall

Goal: demonstrate approach, curiosity, and honesty—rather than bluffing.

Mindset during placement/interviews

• Don’t assume performance guarantees selection.
• Manage nervousness (eat/breathe normally; don’t lose confidence at the start).
• Keep revision time before the exam.
• Proceed with lower expectations to reduce pressure and underperformance.

---

Speakers / sources featured

• Shubham Kumar (interviewee)
• Unnati (host/interviewer)
• YouTube channels (used for preparation; not named specifically besides “many channels”)
• “Its Mashers” (named as a CS fundamentals channel)
• ChatGPT / “chat GBT” (used to generate frequently asked interview questions after learning concepts)