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Visa·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Apr 2026

Summary

Visa SWE interview with a digit-DP problem that looks like a simple grouping question until you realize n can be up to a billion and brute force is completely off the table.

Questions Asked (1)

Q1

Given a large integer n (potentially up to 1e9 or more), compute the digit sum for every integer from 1 to n, group integers by their digit sum, and return how many distinct digit-sum groups share the maximum group size.

Algorithms & Data Structures
Author's notes

My first instinct was to just iterate up to n and tally digit sums.

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AI HintsAI Generated

Suggested Approach

Recognize that brute force is infeasible for n up to 1e9, so use digit DP to count numbers with each possible digit sum, then find the maximum count and how many sums achieve it. The maximum digit sum is 9 * number of digits, so the DP state is (position, sum, tight) and we aggregate counts per sum.

Pro tip: Mention that the answer can be computed without enumerating all numbers, and that digit DP is a standard technique for such counting problems. Also, note that the maximum group size is often achieved by multiple digit sums, so you must count all sums that tie for the maximum.

1. Understand the problem and constraints

Clarify that n can be up to 1e9, so O(n) is too slow. The goal is to count how many digit sums have the maximum frequency among numbers 1 to n.

2. Identify the need for digit DP

Since we need to count numbers by digit sum without iterating, use digit DP to compute the frequency of each possible digit sum efficiently.

3. Define DP state and transitions

Use state (position, current_sum, tight) where tight indicates if the prefix matches n. Transition by trying digits 0-9, updating sum, and adjusting tight. Memoize to avoid recomputation.

4. Compute frequencies and find maximum

After DP, we have counts for each digit sum from 1 to 9*len(n). Find the maximum count and count how many sums achieve it.

5. Handle edge cases and return result

Exclude 0 from the count (since range is 1 to n). Return the number of digit sums that have the maximum frequency.

Key Points to Mention

  • Digit DP is used to count numbers with a given digit sum efficiently.
  • The maximum possible digit sum is 9 times the number of digits in n.
  • The DP state includes position, current sum, and tight flag.
  • Memoization is crucial to avoid exponential time.
  • The answer is the number of digit sums that achieve the maximum frequency.
  • Time complexity is O(digits * max_sum * 10), which is efficient for n up to 1e9.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.