Zoho vs Airbnb: Interview Question Comparison

When preparing for technical interviews, company-specific question patterns matter more than general algorithm knowledge. Zoho and Airbnb represent two distinct interview styles—one with broad coverage and high volume, the other with curated, often scenario-based problems. Understanding their differences helps you allocate preparation time effectively.

Question Volume and Difficulty

Zoho’s 179 questions are heavily weighted toward medium (97) and easy (62) problems, with only 20 hard questions. This suggests Zoho interviews focus on foundational problem-solving and implementation skills across a wide range of straightforward to moderately challenging problems. The high volume indicates you may encounter a variety of classic problems, so breadth of practice is key.

Airbnb’s 64 questions are more concentrated: 34 medium, 19 hard, and only 11 easy. This points to a greater emphasis on complex problem-solving, often involving multi-step logic, system design elements, or real-world scenarios embedded in coding questions. The lower total count means problems are more curated and likely to be repeated or adapted in interviews.

# Example: A medium-difficulty array problem (common for both)
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 []

Topic Overlap

Both companies emphasize Array, String, Hash Table, and Dynamic Programming. This core set is non-negotiable for either interview.

For Zoho, the broad question count across these topics means you should practice many variations. Expect standard array manipulations, string parsing, hash table indexing, and introductory DP like Fibonacci or knapsack.

For Airbnb, the same topics are tested with greater depth. Array and string problems often involve real-world data modeling (e.g., parsing reservation dates, formatting messages). Hash table usage may be part of a larger system simulation. Dynamic programming problems are more likely to be hard-level, requiring optimal substructure identification in a novel context.

# Example: A string parsing scenario more typical of Airbnb
def parse_booking_dates(bookings):
    calendar = {}
    for guest, check_in, check_out in bookings:
        for day in range(check_in, check_out):
            calendar[day] = calendar.get(day, 0) + 1
    return max(calendar.values(), default=0)

Which to Prepare for First

Prepare for Zoho first if you are building foundational coding interview skills. The larger number of easier problems provides a structured path to reinforce core algorithms and data structures. Solving many Zoho-style problems will build speed and familiarity with common patterns, which is transferable to any interview.

Prepare for Airbnb first only if you are already comfortable with medium-level problems and want to focus on depth and complexity. Airbnb questions often test clean code, edge-case handling, and problem decomposition under pressure—skills that require solid fundamentals. Use Airbnb problems as a benchmark for interview readiness.

In practice, mastering the shared core topics (Array, String, Hash Table, DP) will serve you for both. Start with Zoho’s list to gain breadth, then tackle Airbnb’s to develop depth and adaptability.

For focused practice, visit the company pages: Zoho and Airbnb.