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Amazon Intern OA Full AC Review: Security Level Grouping + Divisor Replacement Min Sum

2026-03-20

Two Amazon Intern OA questions — full AC. Q1 is a greedy grouping problem, Q2 is a divisor-based greedy. Pure logic breakdown below, no code.

Amazon Intern OA Problem Screenshot


Exam Overview

Item Details
Platform HackerRank
Questions 2
Difficulty Medium
Role Intern SDE
Result Full AC

Q1: Security Level Grouping

Amazon Intern OA Q1 Security Level Grouping

Problem Core

Given a list of people, each with a security level. Assign them to groups such that:

Find the minimum number of groups needed.

Approach

Step 1: Count frequencies

Use a hash map to count how many people have each security level.

Step 2: Think about the global constraint

The constraint "any two groups differ by at most 1" means all groups globally can only have sizes k or k+1 for some integer k. This is the key equivalence.

Step 3: Enumerate group size k

Complexity

Key Insight

The "differ by at most 1" constraint translates directly to: all group sizes globally must be either k or k+1. Enumerate k, apply ceiling division per level, sum up.


Q2: Divisor Replacement for Minimum Sum

Problem Core

Given an integer array, each element can be replaced by any of its divisors that exists in the array (including itself). Minimize the total sum after replacements.

Approach

Greedy direction: to minimize sum, replace each number with the smallest possible divisor available in the array.

Steps:

  1. Sort and deduplicate the array into an ordered set S
  2. For each element x in S, find its smallest divisor present in S:
    • Iterate through elements of S smaller than x; if x % d == 0, then d is the answer for x
    • Map x to d; if no such d exists, x maps to itself
  3. Apply the mapping to the original array and sum up

Optimization: processing in sorted order means once you find the smallest divisor for x, you can reuse it — if d already maps to something smaller, chain the replacement.

Complexity

Key Insight

The problem reduces to: build a replacement map where each number maps to its smallest divisor within the array. Sorting first ensures greedy correctness — smaller elements are processed before larger ones that might depend on them.


Side-by-Side Comparison

Problem Core Technique Time Space
Q1 Security Grouping Frequency count + enumerate group size k O(n + L·max_cnt) O(L)
Q2 Divisor Replacement Sort + greedy smallest divisor in array O(n log n + m²) O(m)

Common Pitfalls

Problem Pitfall Correct Direction
Q1 Sorting all people and grouping ignoring levels Bucket by level first, then enumerate global k
Q1 Minimizing groups per level independently Global constraint: all groups must be size k or k+1
Q2 Full prime factorization for each element Only need smallest divisor present in the array
Q2 Forgetting the divisor must exist in the array Build the set first, only map to elements within it

Amazon Intern OA Strategy

What to Expect

On-the-Day Tips

  1. Q1-style grouping: translate fuzzy constraints ("differ by ≤ 1") into concrete math ("all sizes are k or k+1"), then enumerate
  2. Q2-style replacement: greedy direction is clear — minimize means find the smallest valid replacement
  3. Sorting is often the key first step — many greedy properties hold naturally on sorted data
  4. Watch for hidden constraints like "divisor must exist in the array" — easy to miss under pressure
  5. Run the provided samples before submitting

Related LeetCode Practice

# Problem Connection
2966 Divide Array Into Arrays With Max Difference Q1: group size constraints
945 Minimum Increment to Make Array Unique Q1: greedy allocation
2344 Minimum Deletions to Make Array Divisible Q2: divisor relationships
1998 GCD Sort of an Array Q2: factor-array relationships

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