Expedia vs Twitter: Interview Question Comparison

When preparing for technical interviews, understanding company-specific patterns is crucial for efficient study. Expedia and Twitter both ask a similar volume of questions (54 vs. 53), but their difficulty distributions and thematic focuses reveal distinct priorities. This comparison breaks down their question profiles to help you strategize your preparation.

Question Volume and Difficulty

The total number of cataloged questions is nearly identical, but the difficulty spread tells a different story.

Expedia's questions are heavily weighted toward easier and medium problems: 54 questions total, with 13 Easy (E13), 35 Medium (M35), and only 6 Hard (H6). This suggests their interview process is broadly accessible, focusing on core competency and clean implementation over solving esoteric, complex algorithms. Success here likely depends on demonstrating fluency with fundamental data structures and avoiding subtle bugs.

Twitter's distribution skews more challenging: 53 questions total, with 8 Easy (E8), 33 Medium (M33), and 12 Hard (H12). The presence of twice as many Hard problems indicates a greater emphasis on algorithmic optimization and handling edge cases. Interviews may involve at least one problem requiring advanced techniques or multi-step reasoning under pressure.

Topic Overlap

Both companies heavily test the foundational trio: Array, String, and Hash Table. Mastery of these is non-negotiable for either interview.

• Array/String Manipulation: Expect problems involving two-pointers, sliding windows, and in-place modifications.
• Hash Table Usage: Crucial for frequency counting, mapping, and achieving O(1) lookups to optimize solutions.

The key differentiator is in the fourth most frequent topic:

• Expedia lists Greedy algorithms. This points to a focus on problems where a locally optimal choice leads to a global solution, often involving sorting or scheduling (e.g., meeting rooms, task scheduling).
• Twitter lists Design. This is a significant addition, encompassing both low-level object-oriented design (like designing a parking lot) and potentially high-level system design concepts for senior roles. It signals that Twitter evaluates a candidate's ability to architect scalable, maintainable systems, not just write algorithms.

# Example of a common Greedy pattern (Expedia-relevant)
def max_meetings(start, end):
    meetings = sorted(zip(start, end), key=lambda x: x[1])
    count, last_end = 0, 0
    for s, e in meetings:
        if s >= last_end:
            count += 1
            last_end = e
    return count

# Example of a common Hash Table pattern (Both companies)
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 []

Which to Prepare for First

Prepare for Expedia first if you are strengthening your fundamentals. The lower proportion of Hard questions allows you to build confidence by mastering arrays, strings, hash tables, and greedy patterns. This creates a solid foundation that is directly transferable.

Prepare for Twitter first if you are already comfortable with medium-level algorithmic problems and need to ramp up on design principles or tackle more complex optimization challenges. The Twitter question set will push you harder on pure algorithms and introduce a separate, critical skill dimension with design.

Ultimately, the core preparation for arrays, strings, and hash tables serves both. Prioritize based on which difficulty curve aligns with your current level and which additional topic (Greedy vs. Design) you need to practice.

For specific question lists, visit the Expedia and Twitter question pages: Expedia Interview Questions | Twitter Interview Questions