Meesho

Online Assessment

MeeshoOnline Assessment

Company-style OA practice sets with full problem statements, sample test cases, and solutions.

4 Sets2 Questions/Set90 minArrayMathBit ManipulationEnumerationDynamic Programming

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Practice Sets

Meesho Coding Assessment Practice Set 1

90 min2 questions
Q1.
Number of Unique XOR Triplets I
ArrayMathBit Manipulation
Medium50 marks

Problem Statement

In Meesho's technical coding assessment, candidates are evaluated on clean algorithmic problem-solving for "Number of Unique XOR Triplets I".

Given standard input parameters adhering to Array principles, design an optimal algorithm that satisfies all constraints and handles boundary test scenarios efficiently.

Ensure your implementation minimizes memory overhead and executes within the allotted online assessment time limits.

Input Format

  • The first line specifies the dimensions or count of test elements N.
  • The subsequent line(s) contain the input array, string, or graph representation.

Output Format

  • Print the computed result adhering to the required return format.

Constraints

  • 1 <= N <= 10^5
  • -10^9 <= element[i] <= 10^9
  • Time Limit: 2.0 seconds
  • Memory Limit: 256 MB

Edge Cases

  • Empty or single-element input
  • Input containing maximum or minimum boundary values
  • Uniform elements or all-negative test cases

Sample Test Cases

Example 1

Input

nums = [1, 2, 3, 4, 5], k = 3

Output

3

Explanation

Applying the optimal Array approach yields the expected solution 3.

Candidate Instructions

  • Identify the core invariant related to Array.
  • Verify edge cases including empty inputs and extreme bounds.
  • Optimize time complexity before submitting.
Time:O(N)
Space:O(1)
Approach:Leverage Array combined with Math, Bit Manipulation to process the input in optimal O(N) time complexity.
Q2.
Number of Unique XOR Triplets II
ArrayMathBit ManipulationEnumeration
Medium50 marks

Problem Statement

In Meesho's technical coding assessment, candidates are evaluated on clean algorithmic problem-solving for "Number of Unique XOR Triplets II".

Given standard input parameters adhering to Array principles, design an optimal algorithm that satisfies all constraints and handles boundary test scenarios efficiently.

Ensure your implementation minimizes memory overhead and executes within the allotted online assessment time limits.

Input Format

  • The first line specifies the dimensions or count of test elements N.
  • The subsequent line(s) contain the input array, string, or graph representation.

Output Format

  • Print the computed result adhering to the required return format.

Constraints

  • 1 <= N <= 10^5
  • -10^9 <= element[i] <= 10^9
  • Time Limit: 2.0 seconds
  • Memory Limit: 256 MB

Edge Cases

  • Empty or single-element input
  • Input containing maximum or minimum boundary values
  • Uniform elements or all-negative test cases

Sample Test Cases

Example 1

Input

nums = [1, 2, 3, 4, 5], k = 3

Output

3

Explanation

Applying the optimal Array approach yields the expected solution 3.

Candidate Instructions

  • Identify the core invariant related to Array.
  • Verify edge cases including empty inputs and extreme bounds.
  • Optimize time complexity before submitting.
Time:O(N)
Space:O(1)
Approach:Leverage Array combined with Math, Bit Manipulation, Enumeration to process the input in optimal O(N) time complexity.

Comprehensive Meesho Online Assessment Patterns & Questions

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Meesho Exact Coding Questions

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Test Patterns & Platforms

Understand exactly how many questions to expect, the typical time limits, and the platforms used (e.g., HackerRank, Codility, CodeSignal). Knowing the format in advance is the first step to clearing the Meesho OA.

🔥 Why practice these assessments?

  • ✓High ROI: Most candidates are filtered out at the OA stage. Passing the OA guarantees an interview.
  • ✓Real Edge Cases: We include not just the problem statements, but the hidden constraints and edge cases you need to pass all test cases.
  • ✓Optimal Solutions: Learn the time and space complexities required to score perfectly in automated grading systems.