Microsoft vs DoorDash: Interview Question Comparison

When preparing for technical interviews, understanding company-specific patterns is crucial. Microsoft and DoorDash represent two distinct ends of the spectrum in software engineering interviews: one is a decades-old tech giant with a vast, well-documented question pool, and the other is a modern, logistics-focused platform with a more concentrated set of problems. Your preparation strategy must adapt accordingly.

Question Volume and Difficulty

The difference in question volume is staggering. With over 1,350 questions tagged on platforms like LeetCode, Microsoft's interview question bank is one of the largest. The difficulty distribution (Easy: 379, Medium: 762, Hard: 211) shows a strong emphasis on Medium-level problems. This suggests that while foundational knowledge is tested, the core of their technical screens is designed to assess problem-solving and implementation skill on moderately complex algorithms.

In stark contrast, DoorDash has around 87 tagged questions. The distribution (Easy: 6, Medium: 51, Hard: 30) reveals a significantly higher concentration of Medium and Hard problems. This indicates that DoorDash interviews are intensely focused on complex problem-solving, often involving multi-step logic, system design components within algorithm questions, or intricate data structure manipulation. The low number of Easy questions implies they skip past fundamentals quickly.

Topic Overlap

Both companies heavily test Array, String, and Hash Table problems. These form the essential toolkit for any coding interview. Mastery here is non-negotiable for either company.

The key differences lie in the subsequent priorities. Microsoft shows a pronounced emphasis on Dynamic Programming (DP). This aligns with its long history of algorithm-focused interviews and its development of complex software systems where optimization is key. Expect classical DP problems and variations.

DoorDash, however, frequently lists Depth-First Search (DFS) as a top topic. This reflects the nature of its business—modeling networks, routes, menus, or hierarchical data structures (like a restaurant's menu categories and items). Graph and tree traversal problems are common. While DP may appear, the focus is more on traversal, recursion, and backtracking.

# Example: DFS for a common DoorDash-style problem (Tree Path Sum)
def has_path_sum(root, target_sum):
    if not root:
        return False
    if not root.left and not root.right:
        return target_sum == root.val
    new_sum = target_sum - root.val
    return (has_path_sum(root.left, new_sum) or
            has_path_sum(root.right, new_sum))

Which to Prepare for First

Prepare for Microsoft first if you are early in your interview journey. The enormous question pool, while daunting, is a benefit. It allows you to practice a wide variety of standard algorithm patterns across all difficulty levels. Succeeding in Microsoft-style interviews builds a robust, generalist foundation that is transferable to almost any other company, including DoorDash. Focus on mastering Arrays, Strings, Hash Tables, and a solid repertoire of Dynamic Programming problems.

Prepare for DoorDash first only if you are already strong in core algorithms and are targeting the company specifically. Their interview is a "high-difficulty, low-volume" game. You must drill deeply into their specific tagged questions and master graph/tree traversal techniques. The preparation is more focused but requires a higher baseline skill level to start. The complexity of their problems often blends algorithmic thinking with practical, real-world data modeling.

In short, use Microsoft's breadth to build your foundational strength. Use DoorDash's depth to sharpen and specialize your skills for their particular domain.

For more details, see the Microsoft and DoorDash question lists: Microsoft, DoorDash.