Apple vs Yandex: Interview Question Comparison

When preparing for technical interviews, understanding company-specific patterns is crucial for efficient study. Apple and Yandex, while both major tech players, present distinct interview landscapes in terms of scale, difficulty, and focus. Apple's process is a high-volume, broad-spectrum challenge, whereas Yandex offers a more concentrated set of problems with a slightly different emphasis. A strategic comparison helps candidates allocate their preparation time effectively.

Question Volume and Difficulty

The data shows a significant disparity in available practice material and perceived difficulty.

Apple has a large repository of 356 questions, categorized as Easy (100), Medium (206), and Hard (50). This volume indicates a vast and well-documented interview process. The distribution suggests the core of their technical screen is Medium-difficulty problems, with a substantial number of Hard questions that likely appear in later-stage onsite interviews. Preparing for Apple means being ready for a wide range of problem complexities.

Yandex has a smaller, more focused set of 134 questions, with a breakdown of Easy (52), Medium (72), and Hard (10). The lower total volume doesn't necessarily mean easier interviews; it may reflect a more curated or niche question bank. The notable point is the steep drop in Hard questions—only 10 compared to Apple's 50. This suggests Yandex's technical interviews might heavily emphasize fundamentals and proficient problem-solving on Medium-tier challenges, with fewer extreme algorithmic puzzles.

Topic Overlap

Both companies emphasize core data structures, but with subtle differences in priority.

The top topics for both are Array, String, and Hash Table. This universal focus means mastery of these is non-negotiable for any software engineering interview. Manipulating arrays and strings, combined with efficient lookups using hash tables, forms the foundation.

The key differentiator is the fourth top topic:

• Apple lists Dynamic Programming (DP). This aligns with Apple's reputation for including complex algorithmic problems. DP questions often serve as differentiators for higher-level positions or more challenging interview loops.
• Yandex lists Two Pointers. This indicates a strong focus on efficient in-place array/string manipulation, sliding window problems, and techniques that optimize for space complexity.

This distinction is critical for preparation. For Yandex, you must be exceptionally comfortable with the two-pointer pattern.

# Example Two-Pointer: Removing duplicates from sorted array in-place (Yandex-relevant)
def removeDuplicates(nums):
    if not nums:
        return 0
    insert_pos = 1
    for i in range(1, len(nums)):
        if nums[i] != nums[i-1]:
            nums[insert_pos] = nums[i]
            insert_pos += 1
    return insert_pos

For Apple, you need to dedicate serious time to Dynamic Programming patterns.

# Example DP: Climbing Stairs (Apple-relevant foundational DP)
def climbStairs(n):
    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 depth of algorithmic mastery required.

If you are preparing for Yandex first, build a strong foundation in arrays, strings, hash tables, and drill two-pointer/sliding window problems. The smaller question bank and fewer Hard problems allow for a more targeted preparation. You can achieve coverage of their likely problem space more quickly.

If you are preparing for Apple first, you must start earlier and cast a wider net. Solidify the core topics, then allocate significant practice time to Dynamic Programming and other advanced algorithms (likely Graphs, Trees). The high volume of Medium and Hard questions means you need both breadth and depth. Preparing thoroughly for Apple will inherently cover most of the fundamentals needed for Yandex, with the exception of requiring extra focused practice on the two-pointer technique.

In summary, use Yandex's focused list for efficient, fundamental preparation. Use Apple's extensive list for a comprehensive, deep-dive study plan that will make you strong for a wide variety of interviews.

For further practice, visit the company pages: Apple and Yandex.