Amazon vs Microsoft: Interview Question Comparison

When preparing for technical interviews at top tech companies, understanding the specific focus areas and question patterns can significantly increase your chances of success. Amazon and Microsoft are two giants with distinct engineering cultures, which is reflected in their interview processes. While there is considerable overlap in the core technical skills they assess, the volume, difficulty distribution, and emphasis of their question banks reveal key strategic differences for candidates.

Question Volume and Difficulty

The raw data shows a clear difference in the scale of their documented question pools. Amazon's list, at 1,938 questions, is notably larger than Microsoft's 1,352. This suggests that Amazon's interview process may draw from a broader set of problems or that its question bank has been more extensively cataloged by candidates.

More telling is the breakdown by difficulty:

• Amazon (E530/M1057/H351): The distribution is heavily weighted toward Medium difficulty, which comprises over 54% of its questions. The Hard count is substantial, and the Easy count is the lowest proportionally. This indicates Amazon interviews are intensely focused on problem-solving under pressure, often involving multi-step reasoning and optimization.
• Microsoft (E379/M762/H211): While also Medium-dominant (over 56%), Microsoft's distribution shows a relatively higher proportion of Easy questions and a notably lower count of Hard questions compared to Amazon. This could point to a slightly more balanced interview that includes foundational checks before escalating complexity, though Medium problems remain the core battleground.

Topic Overlap

The listed top topics for both companies are identical: Array, String, Hash Table, and Dynamic Programming. This underscores the universal importance of these fundamental data structures and algorithms. Mastery here is non-negotiable for either interview.

Array and String questions form the backbone of most coding interviews, testing manipulation, searching, and slicing skills. Hash Table is the quintessential tool for achieving O(1) lookups and solving problems related to frequency, duplicates, or matching. Dynamic Programming represents the peak of algorithmic thinking for optimization problems.

Given this high overlap, a strong preparation strategy for one company directly benefits preparation for the other. A candidate proficient in solving Medium-difficulty problems on these four topics will be well-positioned for both. The core coding patterns, like two-pointers for arrays/strings or using a hash map as a complement, are equally applicable.

# Example: A classic overlapping problem type - Two Sum (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 []

Which to Prepare for First

The strategic choice depends on your timeline and goals.

If your primary target is Amazon, you should prepare for its intensity from the start. Focus on building deep fluency with Medium and Hard problems on the core topics. Practice articulating your thought process clearly, as Amazon's Leadership Principles often require justifying your design choices. The larger question bank means broader exposure is beneficial.

If your primary target is Microsoft, your core preparation will be similar but can initially emphasize a strong command over Easy and Medium problems to ensure a solid foundation. The slightly lower volume of Hard questions might allow for more focused, deep dives into specific problem patterns once the basics are locked in.

For a candidate interviewing with both, prioritize Amazon's question bank. Succeeding in Amazon-style interviews requires tackling a high volume of challenging problems. If you can handle Amazon's Medium and Hard questions, you will be over-prepared for the majority of Microsoft's technical screen. The reverse is not necessarily true. Mastering the harder, larger set first creates a strong foundation that makes the second company's preparation more of a review and refinement process.

Start your focused preparation here: Amazon Interview Questions | Microsoft Interview Questions