Microsoft vs eBay: Interview Question Comparison

When preparing for technical interviews, company-specific question banks provide targeted practice but vary dramatically in scale and focus. Microsoft and eBay represent two ends of this spectrum—one with a massive, well-documented history of problems, and the other with a smaller, more concentrated set. Understanding the differences in question volume, difficulty distribution, and topic emphasis is crucial for efficient preparation.

Question Volume and Difficulty

The most striking difference is sheer volume. Microsoft's listed 1,352 questions dwarf eBay's 60. This reflects Microsoft's longer history of large-scale technical recruiting, its vast number of engineering roles, and its deeply ingrained culture of algorithmic interviewing, particularly for its core product and platform teams.

The difficulty distribution also tells a story:

• Microsoft (E379/M762/H211): The majority of questions are Medium (M762), with a significant number of Easy and a substantial pool of Hard problems. This spread indicates a comprehensive interview process that tests fundamental coding fluency, problem-solving, and advanced algorithmic mastery, often within a single interview loop.
• eBay (E12/M38/H10): The distribution is proportionally similar but on a much smaller scale. Medium-difficulty questions also form the core (38 out of 60), with fewer Easy and Hard problems. This suggests eBay's technical interviews are focused on strong, practical problem-solving skills, with less emphasis on extreme algorithmic optimization compared to top-tier tech giants.

Topic Overlap

Both companies heavily test foundational computer science concepts. The core topics—Array, String, Hash Table—are identical and top-ranked for both. This is universal; mastery of these data structures is non-negotiable for any software engineering interview.

# Example: A common Hash Table 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 secondary topics. Microsoft's list includes Dynamic Programming (DP) as a major category, a classic indicator of interviews that probe deep algorithmic thinking for roles in core systems, cloud, or backend services. eBay's list highlights Sorting, which often relates to practical data manipulation problems common in e-commerce contexts (e.g., sorting products, transactions, or search results). While DP may appear at eBay and sorting at Microsoft, their prominence in the listed topics signals a subtle difference in focus.

Which to Prepare for First

Your preparation priority should be dictated by your target role and timeline.

Prepare for eBay first if: You are interviewing soon or are earlier in your coding interview journey. The smaller, focused question bank is less overwhelming. Achieving deep mastery of the ~60 questions, especially the Medium ones, and the core topics (Array, String, Hash Table, Sorting) can provide a solid foundation for the interview. This focused practice is highly efficient.

Prepare for Microsoft first if: Microsoft is your primary target, or you are building a broad, foundational skill set for the FAANG-tier interview circuit. The vast question bank is a double-edged sword: it's an unparalleled resource for pattern recognition but can be paralyzing if approached aimlessly. Use it strategically by focusing on the highest-frequency questions within each core topic and difficulty band. The practice you gain here will inherently cover the core concepts needed for eBay and many other companies.

Ultimately, a strong candidate will be well-prepared for both. The core skills are transferable. Start with the company that aligns with your immediate goal or offers the most efficient path to building those universal skills.

For more detailed question lists and frequency data, visit the Microsoft and eBay pages on CodeJeet: /company/microsoft and /company/ebay.