GetYourFirstJob

September 28, 2026

INFOSYS LATEST OFF CAMPUS INTERVIEW QUESTION

Candidate Reports • Infosys Hiring

Infosys Interview Experiences

Explore candidate-reported Infosys interview experiences covering DSA, SQL, Core CS, projects, APIs, AWS, machine learning, programming fundamentals and resume-based discussions.

Important: These are candidate-reported experiences and preparation material. They are not official Infosys interview papers. Questions and rounds can vary by candidate, role, resume, hiring route and interview panel.
7 Candidate experiences currently covered
DSA Coding & problem-solving discussions
SQL Queries, joins & database questions
CS OOP, OS, CN, DBMS & projects

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Candidate Interview Experiences

Read the reported journey first, then use the preparation analysis to identify what you should revise.

Student 1
Infosys Interview • Technical Discussion
Candidate Report
Duration Around 1 hour
Format 1-to-1 Technical
Stage Interview

The candidate described an initial conversation with the interviewer before the discussion moved toward WingSpan and coding. Two coding problems were presented, with the candidate being asked to focus on completing one problem and explaining the approach.

DSA • Greedy / Array

The reported problem involved children's greed factors and cookie sizes. A child could be satisfied when the cookie was large enough and the cookie and greed factor followed the specified parity rule. Each child could receive at most one cookie.

The reported approach was to sort both arrays and scan the cookies, ignoring cookies that were too small or did not satisfy the parity condition. The candidate explained why assigning the smallest valid cookie can preserve larger cookies for later children.

SQL • Second Highest Salary
SELECT salary FROM ( SELECT salary, DENSE_RANK() OVER (ORDER BY salary DESC) AS rnk FROM Employee ) t WHERE rnk = 2;

Resume & Machine Learning Discussion

  • ACID properties
  • ROC-AUC
  • Accuracy vs ROC-AUC
  • Production performance problems despite high local accuracy
  • Vanishing-gradient problem
  • Bagging vs boosting
  • Binary search and complexity
  • Software architecture/design patterns
Preparation Analysis

Prepare DSA together with SQL and core CS. If your resume contains ML or cloud projects, expect the discussion to move beyond definitions into practical implementation and production-related questions.

Source type: Candidate-reported interview experience supplied for this article. Additional preparation questions are clearly treated as preparation material rather than claims about the interview.
Student 2
Infosys Interview • DSA, SQL & Projects
Candidate Report
Opening Introduction
Focus Technical
Topics DSA / SQL / CS

The candidate reported starting with an introduction followed by a discussion around projects, including what the project does, its technology stack and implementation details.

SQL • Customers Who Never Ordered

Two tables, Customers and Orders, were used to identify customers who had registered but had never placed an order.

SELECT c.id, c.name, c.address FROM Customers c LEFT JOIN Orders o ON c.id = o.customerId WHERE o.customerId IS NULL;
DSA • Quick Sort

The candidate reported being asked to perform a step-by-step dry run of Quick Sort and explain partitioning and complexity.

quickSort(arr, low, high): if low < high: p = partition(arr, low, high) quickSort(arr, low, p - 1) quickSort(arr, p + 1, high)

WingSpan Coding Discussion

The reported experience included pairing and strict-element style problems. The candidate was expected to explain the reasoning, constraints and complexity rather than only producing an answer.

Core CS Questions

  • Operating System
  • TCP/IP model
  • DNS and its purpose
  • Accessing a website using an IP address
  • OOP and its four pillars
  • Dependency Injection
  • Process vs thread
  • Deadlock

Project Discussion

  • What does your project do?
  • What problem does it solve?
  • Technology stack
  • RAG implementation
  • Overall architecture
  • Technology selection
  • Exception and API failure handling
Preparation Analysis

This experience is a good reminder that project discussion can connect directly to CS fundamentals. Prepare your project architecture, database design and API flow instead of memorizing only a project description.

Source type: Candidate-reported experience. Technical questions are presented as reported content or preparation context where indicated.
Student 3
Infosys Interview • Coding, Projects & APIs
Candidate Report
Start WingSpan Coding
SQL 10th Highest Salary
Cloud AWS

The candidate reported that the interview began directly with a WingSpan coding problem and later moved toward project, SQL, backend/API and AWS discussions.

DSA • Array Modification

The reported problem allowed adding an integer x to one array element and required finding the maximum adjacent-element sum after the modification.

answer = -infinity for i from 0 to n-1: arr[i] = arr[i] + x current = maximum adjacent sum answer = max(answer, current) arr[i] = arr[i] - x return answer

SQL • 10th Highest Salary

The reported discussion involved joining employee data and identifying the 10th-highest salary using a ranking-based approach.

Backend • API Discussion

Topics included FastAPI, REST APIs, GraphQL, request validation, HTTP errors and choosing an API technology for a project.

AWS

  • Amazon EC2
  • AWS Lambda
  • When Lambda can be preferred over a continuously running server
  • API and database communication in AWS
Preparation Analysis

Candidates with backend or cloud projects should be prepared to explain not only what a technology is, but why it was selected, how it fits into the architecture and how failures are handled.

Student 4
Infosys Interview • DSA, SQL & Projects
Candidate Report
Primary DSA Sliding Window
SQL Department Average
Projects Architecture / APIs

The candidate reported beginning with an introduction before moving into DSA, SQL and project-related questions.

DSA • Sliding Window

The reported problem involved finding the smallest contiguous subarray whose sum reaches at least a target value.

left = 0 sum = 0 answer = infinity for right from 0 to n-1: sum += arr[right] while sum >= target: answer = min( answer, right - left + 1 ) sum -= arr[left] left++ return answer

The reported reasoning relied on the array containing positive integers, allowing the window to expand and contract predictably.

Follow-up Questions

  • Why does the approach fail with negative numbers?
  • Sliding window vs two pointers
  • Can prefix sums solve the problem?
  • What changes for a circular array?

SQL • Salary Above Department Average

SELECT e.name, e.salary, e.department_id FROM Employee e JOIN ( SELECT department_id, AVG(salary) AS avg_salary FROM Employee GROUP BY department_id ) d ON e.department_id = d.department_id WHERE e.salary > d.avg_salary;

Project Discussion

  • Explain your architecture.
  • What was your contribution?
  • Which APIs did you use?
  • How did you handle errors?
  • How did you test the application?
  • How did you design the database?
  • What happens when the API server is unavailable?
Preparation Analysis

For DSA, focus on explaining why the selected technique works. For projects, prepare the complete request-to-database flow, error handling and the decisions behind your architecture.

Student 5
Infosys Interview • DSA, DBMS & Projects
Candidate Report
DSA Bit Manipulation
DP Fundamentals
DBMS SQL / Indexing

The candidate described a technical discussion covering DSA, database concepts, dynamic programming and project implementation.

DSA • Bit Manipulation

The reported problem asked for the element that occurs once when every other element occurs twice.

answer = 0 for value in arr: answer = answer XOR value return answer

Bit Manipulation Follow-ups

  • Checking whether a number is even using bits
  • Checking whether the k-th bit is set
  • Left shift vs right shift
  • Using XOR to swap values conceptually

Dynamic Programming

The reported discussion included a standard DP problem where the candidate was expected to explain the state, recurrence, base cases, calculation order and complexity.

Preparation Example • Climbing Stairs
dp[i] = dp[i-1] + dp[i-2]

SQL & DBMS

  • Primary key vs foreign key
  • Normalization
  • Views
  • ACID properties
  • Indexes
  • When indexes improve performance

Project Questions

  • How did you design the project?
  • How does data flow through the system?
  • Why did you select these technologies?
  • What was the most difficult implementation problem?
  • How would you scale the project?
Preparation Analysis

Don't prepare DSA as isolated coding questions. Practice explaining the intuition, state transitions, edge cases and complexity while also revising SQL and DBMS fundamentals.

Student 6
Infosys Interview • DSA, Core CS & SQL
Candidate Report
DSA Greedy / Intervals
Core OS / OOP
SQL GROUP BY / HAVING

The candidate reported an interview beginning with an introduction and project discussion before moving into DSA, Core CS and SQL.

DSA • Greedy Interval Problem

The reported problem involved selecting the maximum number of non-overlapping intervals.

sort intervals by ending time count = 0 lastEnd = -infinity for interval in intervals: if interval.start >= lastEnd: select interval count++ lastEnd = interval.end return count

Core CS Questions

  • Process vs thread
  • Deadlock
  • Four necessary deadlock conditions
  • Inheritance
  • Polymorphism
  • Abstraction
  • Encapsulation
  • Virtual memory

SQL

SELECT department_id, COUNT(*) AS employee_count FROM Employee GROUP BY department_id HAVING COUNT(*) > 5;

A useful follow-up is understanding the difference between WHERE and HAVING: WHERE filters rows before grouping, while HAVING filters groups after aggregation.

Project Discussion

  • Database design
  • API flow
  • User authentication
  • Invalid input handling
  • Performance improvements
Preparation Analysis

Freshers should revise OS and OOP alongside DSA. For SQL, practice GROUP BY, HAVING, joins and self-join questions instead of preparing only basic SELECT queries.

Student 7
Infosys Interview • DSA, SQL & Backend
Candidate Report
Opening Resume / Projects
DSA Dynamic Programming
Backend Java / REST API

The candidate reported that the interview began with an introduction and discussion around projects listed on the resume. The conversation then moved into coding, SQL and implementation concepts.

DSA • Dynamic Programming

The reported discussion involved a DP problem where the candidate first considered a recursive approach and then explained how to convert the solution into dynamic programming.

How to Explain DP in an Interview

  1. Define the state.
  2. Explain the transition.
  3. Identify the base cases.
  4. Explain calculation order.
  5. Discuss time and space complexity.
Preparation Example • House Robber
dp[i] = max( dp[i-1], dp[i-2] + nums[i] )

SQL • Employee Salary vs Manager

SELECT e.id, e.name, e.salary FROM Emp e JOIN Emp m ON e.manager_id = m.id WHERE e.salary > m.salary;

This is a self-join because employee and manager records are stored in the same table.

Java / Backend Questions

  • Creating a REST API
  • Exception handling
  • Java file handling
  • Alternatives for exception handling
  • Checked vs unchecked exceptions
  • GET, POST, PUT and DELETE

Database Follow-ups

  • Views
  • Primary keys
  • Self-referencing foreign keys
  • Foreign keys
  • Manager-employee relationships

Final Project Discussion

  • What does the project do?
  • What problem does it solve?
  • Complete architecture
  • Frontend-to-backend communication
  • Data storage
  • API failure handling
  • Scaling the project
Preparation Analysis

Resume-based questions can become a large part of a technical interview. Be able to explain every major technology, database, API and architectural decision mentioned in your project.

What to Prepare for Infosys Interviews

Based on the experiences presented above, these are the major areas worth revising before an interview.

DSA

Greedy, arrays, sorting, sliding window, bit manipulation, binary search and dynamic programming.

SQL / DBMS

Joins, self joins, ranking, GROUP BY, HAVING, subqueries, indexes, normalization and ACID.

Core CS

OOP, OS, processes, threads, deadlock, TCP/IP, DNS and fundamental database concepts.

Projects

Architecture, APIs, database design, authentication, error handling, technology choices and scaling.

Important Disclaimer

Interview experiences are candidate-reported accounts and should be treated as preparation resources rather than an official Infosys question list. Hiring processes, questions, eligibility and interview formats may change between candidates and hiring cycles.

By getyourfirstjob · September 28, 2026

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