🚨 Adobe SDE OA Leaked! 3 "Simple" Problems That Trip Up Most Candidates

Just finished the Adobe SDE OA (HackerRank), and here's the truth: the question pool has high repetition rates, so chances of getting the same set are pretty good. This OA has 3 Coding problems, with 1 required to be in Python. If you're preparing for Adobe, save this guide.

📊 OA Overview

Item	Details
Platform	HackerRank
Questions	3 Coding Problems
Language	1 problem must be Python
Difficulty	Medium, but easy to fail on edge cases

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✅ T1 | Minimum Absolute Difference Pairs (High Frequency)

Problem Description

Given an array of distinct integers, find all pairs with the minimum absolute difference:

• Each pair should be in ascending order internally
• All pairs should be sorted by the first element in ascending order

Core Strategy (One-liner)

Sort + Scan Adjacent Elements

• After sorting, the minimum difference can only appear between adjacent elements
• Linear traversal:
  • Smaller difference found → Clear results, update
  • Same difference → Add to results

oavoservice Perfect Solution

def minAbsDiffPairs(arr):
    arr.sort()
    min_diff = float('inf')
    result = []
    
    for i in range(1, len(arr)):
        diff = arr[i] - arr[i-1]
        if diff < min_diff:
            min_diff = diff
            result = [[arr[i-1], arr[i]]]
        elif diff == min_diff:
            result.append([arr[i-1], arr[i]])
    
    return result

🤯 Common Pitfalls

• Forgetting to clear old results — When finding a smaller difference, must clear previous pairs
• Output order issues — Sorting naturally ensures correct output order

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✅ T2 | Temperature Operations to Maximize Value (Most Tricky)

Problem Description

• Starting temperature x
• Target temperature y
• Maximum z operations (each +1 or -1)

Requirements:

• While reaching y as the final destination, what's the maximum temperature achievable during the process?
• Return -1 if unreachable

Solution Key (Just 3 Steps)

① Reachability Check

z < |x - y| → Return -1

② Parity is the Soul

Steps and distance must have the same parity:

• Different parity → Effective steps K = z - 1
• Same parity → K = z

③ Maximize Strategy

Go up as high as possible first, then turn back to y

Maximum value formula:

maxTemp = (x + y + K) / 2

oavoservice Perfect Solution

def maxTemperature(x, y, z):
    dist = abs(x - y)
    
    # Not enough steps to reach target
    if z < dist:
        return -1
    
    # Parity check
    remaining = z - dist
    if remaining % 2 != 0:
        z -= 1  # Waste one step to match parity
    
    # Calculate maximum reachable temperature
    return (x + y + z) // 2

🤯 Why So Many Fail This One

• It's not that they can't solve it — they didn't think about parity
• Or overcomplicated the strategy when the formula derivation is actually quite elegant

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✅ T3 | Distinct Substrings of Length K (Python Required)

Problem Description

Given a string password and integer k, count all distinct substrings of length k

Quick Solution

Python = Set is the Perfect Tool

• Iterate from 0 to n - k
• Slice a substring of length k each time
• Add all to a set
• Return len(set)

oavoservice Perfect Solution

def countDistinctSubstrings(password, k):
    if len(password) < k:
        return 0
    
    substrings = set()
    for i in range(len(password) - k + 1):
        substrings.add(password[i:i+k])
    
    return len(substrings)

🤯 Edge Case Alert

• Return 0 when len(password) < k

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💡 The Real Style of Adobe OA

Let's be honest:

• Not hard, but extremely easy to fall into traps
• No obscure problems
• Focus on:
  • Basic algorithm understanding
  • Math & logical reasoning
  • Edge cases + boundary conditions

Many candidates can solve these problems — they just waste time on trial and error.

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🎯 Why Do Even Prepared Candidates Fail?

Those who've taken Adobe OA know:

• HackerRank is time-pressured
• One wrong assumption can ruin the entire problem
• Especially T2 — "looks simple, details explode"

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Many candidates already have the skills during practice, but fail during actual OAs due to nervousness and disrupted rhythm. The value of Stealth OA Assistance is helping you "consistently solve problems you're capable of solving".

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