TikTok vs eBay: Interview Question Comparison

When preparing for technical interviews, company-specific question banks provide targeted practice but vary significantly in scope and focus. TikTok and eBay represent two distinct ends of the spectrum in terms of volume, difficulty, and required preparation strategy.

Question Volume and Difficulty

The most immediate difference is scale. TikTok's list of 383 questions dwarfs eBay's 60. This reflects both the companies' current hiring intensity and the perceived difficulty of their processes.

TikTok's distribution (Easy 42, Medium 260, Hard 81) reveals a heavy emphasis on challenging problems. With nearly 90% of its questions rated Medium or Hard, success requires deep algorithmic fluency and the ability to solve complex problems under pressure. The high volume suggests a broad and unpredictable question pool, making pattern recognition across many problems essential.

eBay's list (Easy 12, Medium 38, Hard 10) is more moderate. While Mediums still dominate (63% of questions), the overall count is manageable, and the presence of several Easy questions indicates a process that may test fundamentals more directly before escalating. The lower volume allows for more focused, thorough preparation on a narrower set of concepts.

Topic Overlap

Both companies emphasize core data structures. Array, String, and Hash Table problems form the essential foundation for interviews at both.

• TikTok adds Dynamic Programming (DP) as a primary topic. This signals that advanced optimization problems, particularly those involving sequences, partitioning, or states, are frequent and must be mastered. The large question count in this area demands significant practice.
• eBay lists Sorting as a key topic instead. This suggests a focus on problems involving rearrangement, comparison, and often, the application of two-pointer or greedy techniques alongside sorted data.

A practical example of this difference can be seen in a common array problem:

# eBay-style: Often involves sorting as a key step.
def twoSumSorted(nums, target):
    nums_sorted = sorted(nums) # Sorting is central
    left, right = 0, len(nums_sorted) - 1
    while left < right:
        current_sum = nums_sorted[left] + nums_sorted[right]
        if current_sum == target:
            return [nums_sorted[left], nums_sorted[right]]
        elif current_sum < target:
            left += 1
        else:
            right -= 1
    return []

# TikTok-style: Might evolve into a DP problem like "Number of ways to reach target".
def combinationSumIV(nums, target):
    # A classic Dynamic Programming problem.
    dp = [0] * (target + 1)
    dp[0] = 1
    for i in range(1, target + 1):
        for num in nums:
            if i - num >= 0:
                dp[i] += dp[i - num]
    return dp[target]

Which to Prepare for First

Prepare for eBay first if you are early in your interview journey or have limited time. Its smaller, slightly less difficult question set allows you to build confidence by achieving mastery over a defined scope. Solidifying the core topics (Array, String, Hash Table, Sorting) here provides an excellent foundation for any interview.

Prepare for TikTok first only if you are already comfortable with Medium-level problems and have ample time for dedicated study. Its vast question bank and emphasis on Hard problems and Dynamic Programming require a long, disciplined preparation period. Starting with TikTok's list will force you to level up quickly, making subsequent preparations for companies like eBay feel more manageable, but the initial hurdle is high.

In summary, use eBay's list for efficient, foundational prep. Use TikTok's list for a comprehensive, high-difficulty training regimen. Master the shared core topics first, then branch into Sorting for eBay or Dynamic Programming for TikTok.

Practice questions for TikTok and eBay.