JPMorgan vs Samsung: Interview Question Comparison
Compare coding interview questions at JPMorgan and Samsung — difficulty levels, topic focus, and preparation strategy.
Preparing for technical interviews requires understanding each company's specific focus. JPMorgan and Samsung, while both testing core algorithmic skills, present distinct profiles in question volume, difficulty distribution, and topic emphasis. This comparison analyzes their patterns to help you prioritize your study.
Question Volume and Difficulty
The data shows a clear difference in the scale and challenge level of their question banks.
JPMorgan's repository is larger, with 78 questions categorized as Easy (25), Medium (45), and Hard (8). This indicates a broad screening process where a majority of questions (about 58%) are of Medium difficulty. The relatively low proportion of Hard questions (just over 10%) suggests the interview process may emphasize solid foundational knowledge and problem-solving approach over solving the most complex algorithmic puzzles.
Samsung has a slightly smaller set of 69 questions, but with a notably different difficulty spread: Easy (15), Medium (37), and Hard (17). The key differentiator here is the Hard question count, which is more than double JPMorgan's (17 vs. 8) and constitutes nearly 25% of Samsung's total bank. This points to an interview process that actively tests candidates on more challenging, optimization-heavy problems.
Summary: JPMorgan offers a broader set with a medium-difficulty core. Samsung's set is more concentrated and includes a significant hurdle of hard problems.
Topic Overlap
Both companies test fundamental data structures, but their primary focuses diverge.
Common Ground: Both lists include Array and Hash Table. These are universal basics for data manipulation and efficient lookups.
JPMorgan's Emphasis: The top topics are Array, String, Hash Table, and Sorting. This combination is classic for questions involving data processing, text manipulation, and organizing information—skills highly relevant to financial data processing, transaction logging, and string-based identifiers.
# JPMorgan-style: String & Hash Table (Anagram check)
def is_anagram(s: str, t: str) -> bool:
if len(s) != len(t):
return False
count = {}
for char in s:
count[char] = count.get(char, 0) + 1
for char in t:
if char not in count or count[char] == 0:
return False
count[char] -= 1
return True
Samsung's Emphasis: The key topics are Array, Dynamic Programming, Two Pointers, and Hash Table. The prominence of Dynamic Programming (DP) and Two Pointers signals a strong focus on optimization, state management, and efficient traversal—skills critical for systems programming, resource-constrained environments, and solving complex combinatorial problems often found in hardware and low-level software logic.
# Samsung-style: Dynamic Programming (Climbing Stairs)
def climb_stairs(n: int) -> int:
if n <= 2:
return n
dp = [0] * (n + 1)
dp[1], dp[2] = 1, 2
for i in range(3, n + 1):
dp[i] = dp[i-1] + dp[i-2]
return dp[n]
Which to Prepare for First
Your preparation priority should be guided by your target role and current skill level.
Prepare for JPMorgan first if: You are building foundational coding interview skills. The larger volume of Medium-difficulty questions on Strings, Arrays, and Sorting provides excellent practice for core problem-solving patterns. Mastering this set will solidify the basics needed for most interviews. The lower proportion of Hard questions makes it a less daunting starting point.
Prepare for Samsung first if: You are aiming for roles in systems, embedded software, or performance-critical development, or if you need to specifically train for a higher density of challenging problems. The significant Hard question count and focus on Dynamic Programming require dedicated, advanced study. Tackling this set first will force you to level up your optimization skills, which will then make other question banks feel more manageable.
A strategic approach is to master the common core (Arrays, Hash Tables), then branch based on your target. For a finance/backend role, dive deep into String manipulation and Sorting. For a systems/low-level role, prioritize Dynamic Programming and Two Pointers.
For focused practice, visit the company pages: JPMorgan and Samsung.