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Optum Placement Papers 2024

Overview

This page collects Optum placement papers from 2024 with practice questions, worked solutions, and the exam pattern students reported that cycle. Use it when you want drive history: what the first round looked like, which topics repeated, and how to approach solutions. Work the sets below under a timer, then compare with newer material so your prep matches both established Optum patterns and recent shifts.

Optum Aptitude Mock Quiz

Timed placement-style MCQs with score and explanations after you submit. Use it to check speed and accuracy before the real test.

Questions15
Time10 min

Optum exam pattern 2024

Section What shows up Prep focus
Online assessment Coding and/or MCQ filter Weekly timed mocks
Technical rounds DSA, CS fundamentals, projects Live problem solving
HR / hiring manager Motivation and communication Specific, evidence-based answers

First round: Optum Online Assessment
Skills emphasized: Coding, SQL, healthcare domain basics
Languages: Java, Python, SQL

Sample Optum questions with solutions

These are practice-style questions aligned to patterns students report for Optum drives around 2024. They are not leaked live papers. Work them timed, then read the solutions only after you have an answer.

Quantitative aptitude (2024)

Q1: Average after replace

Problem: The average of five numbers is 20. One number 30 is replaced by 10. What is the new average?

Solution: Old sum = 5 × 20 = 100. New sum = 100 − 30 + 10 = 80. New average = 80 / 5 = 16.

Answer: 16

Q2: Series n(n+1)

Problem: Find the next term: 2, 6, 12, 20, 30, ?

Solution: Pattern: 1×2, 2×3, 3×4, 4×5, 5×6, 6×7. Next = 6 × 7 = 42.

Answer: 42

Q3: Deck probability

Problem: What is the probability of drawing an ace from a standard 52-card deck?

Solution: There are 4 aces in 52 cards. Probability = 4/52 = 1/13.

Answer: 1/13

Q4: Net percent change

Problem: A number is increased by 20% and then decreased by 20%. What is the net percentage change?

Solution: Start with 100 → 120 → 96. Net change = 4% decrease. Formula: successive +a then −a gives −(a²/100)% = −4%.

Answer: 4% decrease

Q5: Consumption cut

Problem: If the price of an item rises by 25%, by what percent should consumption fall so that expenditure stays the same?

Solution: Required reduction = r/(100+r) × 100 with r = 25. = 25/125 × 100 = 20%.

Answer: 20%

Q6: Compound mark-discount

Problem: An article is marked 40% above cost and sold after a 10% discount. Find the profit percent.

Solution: SP = CP × 1.4 × 0.9 = 1.26 CP. Profit = 26%.

Answer: 26%

Q7: Loss to profit shift

Problem: An article sold at 10% loss would give 5% profit if sold for ₹60 more. Find the cost price.

Solution: 0.9P + 60 = 1.05P 60 = 0.15P P = 60 / 0.15 = ₹400.

Answer: ₹400

Q8: Worker scaling

Problem: Eight workers finish a job in 10 days. How many days will 10 workers take for the same job (same pace)?

Solution: Total man-days = 8 × 10 = 80. Days for 10 workers = 80 / 10 = 8 days.

Answer: 8 days

Coding practice (2024)

Coding Q1: Coin change (min coins)

Problem: Given coin denominations and an amount, return the fewest coins needed to make that amount, or -1 if it is impossible.

Approach: Unbounded knapsack DP: let dp[x] be the minimum coins for amount x. For each coin, update dp[c..amount]. Initialize dp[0] = 0 and the rest to a large sentinel.

Complexity: O(amount × coins)

Optum tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q2: Binary search

Problem: Given a sorted array of distinct integers and a target, return the index of target or -1 if missing.

Approach: Maintain lo/hi. Compare mid with target and shrink the half that cannot contain it. Careful with overflow-free mid and empty arrays.

Complexity: O(log n) time

Optum tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q3: Move zeros

Problem: Move all zeros in an array to the end while keeping the relative order of non-zero elements.

Approach: Two pointers: write non-zeros toward the front, then fill the remainder with zeros. Or swap zeros as you scan.

Complexity: O(n) time, O(1) space

Optum tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q4: Rotate array

Problem: Rotate an array to the right by k steps. Example: [1,2,3,4,5,6,7], k = 3 → [5,6,7,1,2,3,4].

Approach: Normalize k %= n. Reverse the whole array, reverse the first k elements, then reverse the rest. That yields the rotation in place.

Complexity: O(n) time, O(1) space

Optum tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q5: First unique character

Problem: Find the first non-repeating character in a string and return its index, or -1 if none exists.

Approach: Count frequencies in one pass (hash map or array of 26 for lowercase). Second pass returns the first index with count 1.

Complexity: O(n) time

Optum tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q6: Stack with min

Problem: Design a stack that supports push, pop, top, and getMin in average O(1) time.

Approach: Keep a parallel min-stack (or store pairs). When pushing, also push the new minimum. When popping, pop both stacks.

Complexity: O(1) per operation amortized

Optum tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q7: Maximum subarray sum (Kadane)

Problem: Given an integer array, find the contiguous subarray with the largest sum and return that sum. Example: [-2,1,-3,4,-1,2,1,-5,4] → 6 (from [4,-1,2,1]).

Approach: Keep a running sum. If the running sum drops below 0, reset it to 0 before taking the next element (or track the best ending-here value). Track the global maximum as you scan once from left to right.

Complexity: O(n) time, O(1) extra space

Optum tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q8: Reverse a string in place

Problem: Given a mutable character array representing a string, reverse it in place without allocating another array of the same size.

Approach: Use two pointers at the start and end. Swap characters, then move inward until the pointers meet. Watch empty and single-character inputs.

Complexity: O(n) time, O(1) extra space

Optum tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Deep prep notes for Optum

How the Optum Online Assessment usually feels

Students usually say the first round is time-tight - easy marks vanish if you sit too long on one hard question. For Optum, skim the paper in a couple of minutes, mark what you can finish cleanly, and protect accuracy. Languages people commonly use: Java, Python, SQL.

Topic weight hints

Area Why it matters at Optum
Coding What usually helps you clear the first round
Core CS (OOPs / DBMS / OS) Technical interview depth
Health Tech (UnitedHealth) awareness Helps in managerial / HR conversations
Communication Explain your approach clearly; keep a few real examples ready for HR

14-Day sprint

  1. Days 1-3: Learn the 2024 pattern and take two sectional mocks
  2. Days 4-7: Closed practice on weak topics from your error log
  3. Days 8-10: Full mocks every other day; review the same day
  4. Days 11-14: Practice explaining projects out loud, light revision, sleep and IDs ready

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