Apple vs Expedia: Interview Question Comparison

When preparing for technical interviews, understanding company-specific patterns is crucial. Apple and Expedia, while both major tech employers, present distinct interview landscapes in terms of scale, difficulty, and focus. Apple's process is famously rigorous with a vast, well-documented question pool, whereas Expedia's is more contained but requires sharp problem-solving on core concepts. This comparison breaks down the key differences to help you strategize your preparation.

Question Volume and Difficulty

The data reveals a stark difference in scale. Apple's listed 356 questions dwarf Expedia's 54. This volume makes Apple's interview process more predictable in terms of the topics you'll encounter but demands a much broader and deeper study commitment.

The difficulty distributions further highlight their different bars:

• Apple (E100/M206/H50): The majority of questions are Medium difficulty, with a significant number of Easy and Hard problems. This spread suggests Apple's interviews test strong fundamentals while consistently pushing into complex optimization and algorithmic thinking. The presence of Hard questions indicates you may face problems requiring non-obvious insights or multi-step solutions.
• Expedia (E13/M35/H6): The focus is overwhelmingly on Medium-difficulty questions. The low number of Hard questions suggests Expedia's interviews prioritize robust, clean solutions to common problem patterns over esoteric algorithmic depth. The goal is often to assess your practical coding ability and logical approach under time constraints.

In short, Apple's process is a marathon of breadth and depth, while Expedia's is a sprint focused on core competency under pressure.

Topic Overlap

Both companies heavily emphasize the foundational trio: Array, String, and Hash Table. Mastery of these is non-negotiable for either interview. Problems will often combine these, such as using a hash table to track characters for a string manipulation task.

# Example: A common overlapping problem (Two Sum)
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 []

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

The key divergence is in the fourth major topic:

• Apple: Dynamic Programming (DP). Apple's inclusion of DP as a top topic signals an expectation to handle problems involving optimization, counting, or decision-making across sequences (strings, arrays). You must be comfortable with both top-down (memoization) and bottom-up tabulation approaches.
• Expedia: Greedy Algorithms. Expedia's focus on Greedy algorithms points to an interview style favoring problems where a locally optimal choice leads to a global solution (e.g., interval scheduling, task assignment). This tests your ability to reason about problem structure and identify efficient, if not always universally optimal, strategies.

Which to Prepare for First

Your preparation order should be guided by your timeline and the inherent logic of the topics.

Prepare for Expedia first if you are early in your interview journey or short on time. The smaller question bank and concentrated focus on Medium-difficulty problems on Arrays, Strings, Hash Tables, and Greedy algorithms provide a manageable yet comprehensive curriculum. Mastering these will build a strong foundation for any technical interview. Greedy problems are often more about pattern recognition and logical proof than complex state management, making them a logical stepping stone.

Prepare for Apple first only if Apple is your primary target or you have a long runway. The sheer volume and inclusion of Dynamic Programming necessitate a dedicated, long-term study plan. However, the depth required for Apple will thoroughly cover the core topics needed for Expedia. If you can solve a broad range of Apple's Medium and Hard problems, Expedia's question set will feel like a focused subset. The challenge is the significant time investment.

A pragmatic hybrid approach is to build a foundation using Expedia's core topics, then layer on Apple's advanced requirements. Start by achieving fluency with Arrays, Strings, Hash Tables, and Greedy algorithms. Once you can reliably solve Medium problems in these areas, expand your study to include Dynamic Programming and tackle the wider breadth and depth of Apple's question list. This ensures you are interview-ready for a company like Expedia sooner, while progressively building towards the elite standard required by Apple.

For targeted practice, visit the company pages: Apple Interview Questions and Expedia Interview Questions.