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Mu Sigma Coding Questions

Overview

Practice Mu Sigma coding questions in the style candidates report for online assessments and technical interviews. Focus: easy-medium implementation + programming logic.

Mu Sigma coding pattern

Item Typical expectation
Problems 1-3 coding tasks depending on drive
Skills easy-medium implementation + programming logic
Languages Java, C++, Python (confirm invite)
Bar Correctness first, then complexity

Practice problems

Question 1: check palindrome number/string

Show approach

Approach: Two pointers.

from collections import defaultdict
def solve(arr):
# fill logic
return arr

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 2: fibonacci / factorial iterative

Show approach

Approach: Avoid exponential recursion.

Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
// fill logic
}

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 3: find second largest unique element

Show approach

Approach: One pass tracking top two.

from collections import defaultdict
def solve(arr):
# fill logic
return arr

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 4: count vowels / frequency map

Show approach

Approach: Hash map or array[26].

Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
// fill logic
}

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 5: prime check up to sqrt

Show approach

Approach: Loop bounds; handle n < 2.

from collections import defaultdict
def solve(arr):
# fill logic
return arr

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 6: sort array / implement bubble vs library

Show approach

Approach: Know when O(n log n) matters.

Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
// fill logic
}

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 7: simple stack valid parentheses

Show approach

Approach: Stack of opens.

from collections import defaultdict
def solve(arr):
# fill logic
return arr

Complexity: State time/space before coding. Test empty input and single-element cases.

Pattern drill plan (2 weeks)

Day Drill
Mon Arrays + hashing (2 problems)
Tue Two pointers / sliding window
Wed Stacks / strings
Thu Trees or graphs basics
Fri Timed mock (2 problems / 90 min)
Sat Re-solve Friday misses cold
Sun Light CS theory + rest

Common coding mistakes

  1. Coding before reading constraints
  2. Passing samples but failing hidden tests
  3. Silent complexity (cannot explain Big-O in interview)
  4. Switching languages mid-prep
  5. Never practicing on the real OA editor style

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