Nutanix vs Expedia: Interview Question Comparison

When preparing for technical interviews, understanding company-specific patterns can dramatically increase your efficiency. Nutanix and Expedia, while both testing core computer science fundamentals, show distinct profiles in their question volume, difficulty distribution, and topical focus. This comparison breaks down their interview landscapes to help you prioritize your study.

Question Volume and Difficulty

Nutanix presents a larger and more challenging overall question bank. With 68 total questions, its difficulty distribution is 68% Medium (M46) and 25% Hard (H17), indicating a strong emphasis on complex problem-solving. Expect to encounter multi-step algorithmic challenges that require optimized solutions.

Expedia's question pool is smaller at 54 questions and is significantly less difficult. Its distribution is heavily skewed towards Medium-difficulty problems (M35, ~65% of total), with a substantial portion of Easy questions (E13, ~24%) and very few Hard (H6, ~11%). This suggests Expedia interviews may focus more on assessing solid foundational knowledge and clean code, with less emphasis on extreme optimization.

Topic Overlap

Both companies heavily test the Array, String, and Hash Table fundamentals. These are the absolute core for any interview preparation.

Nutanix has a notable emphasis on Depth-First Search (DFS), reflecting a focus on graph and tree traversal problems. This often involves recursion, backtracking, or iterative stack-based solutions. You should be comfortable with both the theory and implementation of DFS and related algorithms.

Expedia uniquely lists Greedy algorithms as a top topic. This indicates a focus on problems where a locally optimal choice leads to a globally optimal solution, such as interval scheduling, coin change (with certain coin systems), or task assignment problems.

Here is a practical example of a problem type that could appear at either company, solved using a 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 []

# Example usage
print(two_sum([2, 7, 11, 15], 9))  # Output: [0, 1]

Which to Prepare for First

Prepare for Expedia first if you are earlier in your interview preparation journey. Its lower proportion of Hard questions and strong focus on core data structures (Array, String, Hash Table) makes it an excellent benchmark for foundational skills. Mastering its problem set will build confidence and competency for a wide range of companies.

Prepare for Nutanix first if you are aiming for roles requiring advanced algorithmic knowledge (e.g., senior positions, infrastructure, or distributed systems) or if you are already comfortable with Medium-level problems and want to push into more complex graph and optimization challenges. Succeeding with Nutanix's question bank will likely mean you are well-prepared for Expedia's technical screen.

In summary, use Expedia's profile to solidify your core, then use Nutanix's to deepen your algorithmic mastery. Both require impeccable skill with Arrays, Strings, and Hash Tables, but diverge in their secondary focus: Greedy for Expedia, and DFS for Nutanix.

For detailed question lists, visit the Nutanix question page and the Expedia question page.