Airbnb vs Epam Systems: Interview Question Comparison
Compare coding interview questions at Airbnb and Epam Systems — difficulty levels, topic focus, and preparation strategy.
When preparing for technical interviews, company-specific question patterns reveal what each organization prioritizes in their hiring process. A comparison between Airbnb and EPAM Systems shows distinct differences in volume, difficulty, and core topics, which can help you tailor your study strategy effectively.
Question Volume and Difficulty
Airbnb's list comprises 64 questions, with a difficulty distribution of 11 Easy, 34 Medium, and 19 Hard questions. This indicates a significant emphasis on Medium and Hard problems, suggesting their interviews are designed to rigorously test problem-solving skills, algorithmic optimization, and handling complex scenarios. The high number of Hard questions is notable and often correlates with on-site rounds or higher-level positions.
EPAM Systems' list contains 51 questions, with a distribution of 19 Easy, 30 Medium, and only 2 Hard questions. This profile suggests a stronger focus on foundational competency and practical coding ability. The interview process likely assesses core understanding and clean implementation more than tackling extreme algorithmic complexity. The low number of Hard questions makes the overall set more approachable for initial preparation.
# Example of a common "Medium" difficulty pattern: Two Sum (Hash Table)
def two_sum(nums, target):
seen = {}
for i, num in enumerate(nums):
complement = target - num
if complement in seen:
return [seen[complement], i]
seen[num] = i
return []
# Airbnb might extend this concept to a "Hard" variant involving data streams.
Topic Overlap
Both companies heavily test Array and String manipulations, as well as Hash Table usage. This is the core common ground. Mastery here is essential for either interview.
- Airbnb's Unique Emphasis: The standout topic for Airbnb is Dynamic Programming (DP). The presence of 19 Hard questions almost guarantees complex DP scenarios (e.g., knapsack variants, state machine DP, or DP on strings). Preparing for Airbnb requires deep, dedicated practice in this area.
- EPAM's Unique Emphasis: EPAM prominently lists Two Pointers as a top topic. This indicates a focus on efficient in-place array/string operations, sliding windows, and problems dealing with sorted data. While DP may appear, it's not a primary focus.
# Airbnb Focus: Dynamic Programming (Medium/Hard Example)
def coin_change(coins, amount):
dp = [float('inf')] * (amount + 1)
dp[0] = 0
for i in range(1, amount + 1):
for coin in coins:
if i - coin >= 0:
dp[i] = min(dp[i], dp[i - coin] + 1)
return dp[amount] if dp[amount] != float('inf') else -1
# EPAM Focus: Two Pointers (Medium Example)
def remove_duplicates(nums):
if not nums:
return 0
insert_pos = 1
for i in range(1, len(nums)):
if nums[i] != nums[i - 1]:
nums[insert_pos] = nums[i]
insert_pos += 1
return insert_pos
Which to Prepare for First
Start with EPAM Systems if you are earlier in your interview preparation journey. The lower volume, higher proportion of Easy/Medium questions, and absence of deep DP requirements allow you to solidify fundamentals in arrays, strings, hash tables, and two pointers. Success here builds confidence and core skills.
Prepare for Airbnb after you have a strong command of fundamentals and are ready to tackle advanced topics. The larger question set, high density of Medium problems, and substantial Hard DP questions require dedicated, advanced study. Use your foundational skills from EPAM-style practice as a springboard into Airbnb's more demanding problem set.
In short, EPAM's list is an excellent benchmark for foundational readiness, while Airbnb's list represents a high-bar test of comprehensive algorithmic mastery.
For more details, see the company-specific question lists: Airbnb and EPAM Systems.