Easy Infosys Interview Questions: Strategy Guide

Infosys interview questions labeled "Easy" typically test fundamental programming concepts rather than complex algorithms. These 42 problems form a critical foundation, as solving them quickly and correctly builds confidence and saves time for harder challenges. Expect to see straightforward implementations involving basic data structure manipulation, simple string/array processing, and mathematical reasoning. The focus is on demonstrating clean, bug-free code and logical thinking under time constraints.

Common Patterns

Infosys's Easy problems often cluster around a few predictable themes. Recognizing these patterns lets you apply standard solutions immediately.

Array Traversal & Counting: Many problems require iterating through an array to count, sum, or find specific elements. This tests basic loop control and condition checking.

def count_evens(nums):
    count = 0
    for num in nums:
        if num % 2 == 0:
            count += 1
    return count

String Manipulation: Reversing strings, checking palindromes, or basic character frequency analysis are common. These test your ability to handle string indexing and immutability.

Simple Mathematical Operations: Problems involving digit extraction, basic arithmetic, or checking for primes/factors appear frequently. The key is accurate implementation, not optimization.

Basic Hash Map Usage: Using a dictionary or set to track seen elements or counts for a simple lookup problem is a recurring pattern.

Time Targets

In a coding interview, your pace on Easy questions sets the rhythm for the entire session. Aim to solve any Infosys Easy problem within 10-12 minutes from reading the prompt to final code. Break this down:

• First 2-3 minutes: Understand the problem, ask clarifying questions, and outline your approach verbally.
• Next 5-6 minutes: Write clean, syntactically correct code. Prioritize readability over cleverness.
• Final 2-3 minutes: Walk through a test case, explain your logic, and discuss edge cases (empty input, single element, large values).

If you consistently exceed 15 minutes on Easy problems, you risk running out of time for medium-difficulty questions, which are often the core of the interview. Speed comes from pattern recognition and fluent coding, not rushing.

Practice Strategy

Don't just solve these 42 problems—use them to build automaticity.

1. Pattern-First Practice: Group problems by the patterns above. Solve all "array counting" problems in one session to reinforce the template.
2. Time Every Session: Use a timer. If you solve a problem correctly but take 20 minutes, that's a fail for interview purposes. Analyze where time was lost.
3. Implement in Multiple Languages: If you're language-agnostic, implement the solution in Python, JavaScript, and Java. This deepens understanding of syntax and library functions for each.
4. Verbally Explain Your Code: After solving, practice explaining your code line-by-line as you would to an interviewer. This uncovers gaps in your own understanding.

Mastering Easy questions is not about proving you can solve them—it's about proving you can solve them without thought, freeing mental bandwidth for complex problems.

Practice Easy Infosys questions