Accenture vs Visa: Interview Question Comparison

When preparing for technical interviews at major tech companies, understanding their specific question patterns and focus areas is crucial for efficient study. Both Accenture and Visa ask a significant number of coding questions, primarily centered on fundamental data structures, but their distribution of difficulty and emphasis on certain topics differ. This comparison breaks down their question profiles to help you tailor your preparation strategy.

Question Volume and Difficulty

Accenture's question bank is slightly larger, with 144 total questions compared to Visa's 124. The more notable difference lies in their difficulty distributions.

Accenture (E65/M68/H11): The majority of questions are classified as Easy (65) or Medium (68), with only 11 Hard questions. This suggests Accenture's technical screening often focuses on assessing core competency and problem-solving fundamentals. You are expected to write clean, working code for standard problems under typical interview constraints.

Visa (E32/M72/H20): Visa has a significantly different spread. While Medium questions dominate (72), there are fewer Easy questions (32) and nearly double the number of Hard questions (20) compared to Accenture. This indicates Visa's process may involve more complex problem-solving or multi-step challenges, even in early rounds. Success here requires not only knowing the fundamentals but also being able to apply them to trickier scenarios.

In short: Accenture's set leans toward breadth on foundational concepts, while Visa's leans toward depth and complexity within a similar set of core topics.

Topic Overlap

Both companies heavily emphasize the same four core topics: Array, String, Hash Table, and Math (with Visa explicitly adding Sorting). This massive overlap is good news for preparation.

• Array and String manipulations are the bedrock. Expect questions involving traversal, two-pointer techniques, sliding windows, and basic transformations.
• Hash Table usage is critical for optimizing lookups and solving problems related to frequency counting, duplicates, and complements (like the classic Two Sum).
• Math problems test logical thinking and might involve number properties, bit manipulation, or simple arithmetic puzzles.

Visa's specific mention of Sorting suggests you should be proficient not just with built-in sorts, but also with understanding sorting algorithms (like QuickSort or MergeSort) and, more importantly, solving problems where sorting is a key preprocessing step.

# Example: A common problem for both (Two Sum variant)
def two_sum(nums, target):
    seen = {}  # Hash Table
    for i, num in enumerate(nums):
        complement = target - num
        if complement in seen:
            return [seen[complement], i]
        seen[num] = i
    return []

# Visa might extend this concept to a harder 3Sum or 4Sum problem.

Which to Prepare for First

Start with Accenture's question list. Its higher volume of Easy and Medium problems on the most common topics provides an ideal foundation. Mastering these will build fluency with the core data structures and patterns that are equally essential for Visa.

Once comfortable with Accenture's Medium-level problems, transition to Visa's question list. Focus on tackling its larger pool of Medium questions and its Hard problems. Use this phase to deepen your understanding. Practice breaking down complex problems, optimizing solutions, and handling edge cases—skills Visa's distribution suggests are important.

Effectively, Accenture's set is your training ground for core algorithms. Visa's set is where you stress-test that knowledge with more challenging applications. A strong performance on Visa-style questions will typically mean you are well-prepared for Accenture's technical screen as well.

For targeted practice, visit the Accenture question list at /company/accenture and the Visa question list at /company/visa.