Amazon vs Samsung: Interview Question Comparison

When preparing for technical interviews at major tech companies, understanding the specific focus and patterns of each company's question bank can dramatically increase your efficiency. Amazon and Samsung, while both giants in the tech industry, present distinctly different interview landscapes in terms of scale, difficulty, and emphasis. A targeted preparation strategy is essential.

Question Volume and Difficulty

The most striking difference is the sheer volume of available practice questions. Amazon's repository is vast, with 1,938 questions categorized by difficulty (Easy: 530, Medium: 1,057, Hard: 351). This immense pool reflects Amazon's heavy reliance on a standardized question bank for its highly frequent and process-driven interview loops. The distribution skews heavily towards Medium difficulty, which is the core of most Amazon onsite interviews, testing a candidate's ability to handle complexity under pressure with clean, operational code.

In stark contrast, Samsung's known question set is much smaller, with 69 questions (Easy: 15, Medium: 37, Hard: 17). The smaller volume does not imply simpler interviews; it often means the questions are more focused, sometimes involving multi-step problem-solving or specific algorithmic patterns favored by the company. The emphasis here is also on Medium-difficulty problems, but mastering this concise set is a more manageable and critical task.

Topic Overlap

Both companies emphasize core data structures and algorithms, with significant overlap in their top topics.

• High-Overlap Core: Array and Dynamic Programming (DP) are top priorities for both. Array manipulation is fundamental, while DP questions test optimal substructure thinking—a key skill for optimization problems at scale (Amazon) or in systems (Samsung).
• Shared Essential: Hash Table is crucial for both, enabling efficient lookups and is frequently part of solutions for array and string problems.
• Diverging Focus: Amazon heavily emphasizes String manipulation, aligning with its work in text processing, search, and web services. Samsung's list highlights Two Pointers, a technique essential for solving array/linked list problems with optimal space, often relevant in embedded or systems-level contexts.

While the topics overlap, the context of questions differs. Amazon questions often model scalable system behaviors or e-commerce logic. Samsung questions may lean towards simulations, matrix traversals, or logic found in hardware-adjacent software.

# Example Two Pointers problem (common to both, emphasized by Samsung)
def reverse_string(s: list) -> None:
    """Reverse a string in-place using two pointers."""
    left, right = 0, len(s) - 1
    while left < right:
        s[left], s[right] = s[right], s[left]
        left += 1
        right -= 1

# Example Dynamic Programming problem (core for both)
def climb_stairs(n: int) -> int:
    """Count distinct ways to climb to the top (1 or 2 steps at a time)."""
    if n <= 2:
        return n
    dp = [0] * (n + 1)
    dp[1], dp[2] = 1, 2
    for i in range(3, n + 1):
        dp[i] = dp[i-1] + dp[i-2]
    return dp[n]

Which to Prepare for First

Your priority should be dictated by your interview timeline and the company's question bank characteristics.

Prepare for Samsung first if your interview is sooner or you want a focused target. The limited, well-defined question set allows for deep, comprehensive mastery in a shorter timeframe. You can achieve high coverage by solving all 69 questions, with special attention to Array, DP, and Two Pointers. This creates a strong foundation in core patterns that will also benefit Amazon prep.

Prepare for Amazon first if you have more time or are interviewing there. The vast question bank requires a longer, more structured approach. Start by mastering the core topics (Array, String, Hash Table, DP) through high-frequency and highly-rated Medium questions. This broad, deep practice will inherently cover the patterns needed for Samsung, making subsequent Samsung prep faster.

Regardless of order, begin with the shared core: solidify Array and Dynamic Programming fundamentals. Then, branch out to company-specific emphases—String for Amazon, Two Pointers for Samsung. This ensures you build a versatile algorithmic skillset applicable to both interview processes.

For targeted practice, visit the Amazon and Samsung question lists: Amazon Interview Questions | Samsung Interview Questions