Detect subsequence in array

Last updated: October 11, 2025

Quick Overview

Given an array of integers and a subsequence, determine if the subsequence can be found within the array in the same order, but not necessarily consecutively. The function should return a boolean value indicating whether the subsequence exists in the array. For example, given the array [1, 2, 3, 4, 5] and the subsequence [2, 4], the output should be true.

Datadog
Coding & Algorithms
Machine Learning Engineer
Datadog
October 11, 2025
Machine Learning Engineer
Phone Screen
Coding & Algorithms
Medium

3

13

1,171 solved


Given an array of integers and a subsequence, determine if the subsequence can be found within the array in the same order, but not necessarily consecutively. The function should return a boolean value indicating whether the subsequence exists in the array. For example, given the array [1, 2, 3, 4, 5] and the subsequence [2, 4], the output should be true.

Datadog uses this problem in the Phone Screen to evaluate your algorithmic thinking. They expect you to discuss multiple approaches, analyze trade-offs between them, and implement the optimal solution with clean, readable code.

What the Interviewer Expects
  • Recognize the underlying problem pattern (sliding window, two pointers, BFS/DFS, etc.)
  • Discuss multiple approaches and trade-offs before coding
  • Implement an optimal solution with clean, production-quality code
  • Handle all edge cases including boundary conditions and invalid input
  • Optimize both time and space complexity with clear justification
  • Test your solution systematically with well-chosen examples
Key Topics to Cover
Dynamic programming and memoization
Graph algorithms and traversal
Binary search and divide and conquer
Edge cases and input validation
How to Approach This
  1. Clarify input constraints and edge cases before writing code.
  2. Walk through your approach verbally and confirm with the interviewer before coding.
  3. Start with a brute force solution, then optimize. Mention time and space complexity.
  4. Test your solution with examples, including edge cases like empty input or duplicates.
  5. Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
  • Can you optimize the space complexity of your solution?
  • How would you test this solution thoroughly?
  • What happens if the input contains duplicates?
  • How would you parallelize this solution?
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Problem Analysis

The problem requires us to determine if a given subsequence can be found within an array in the same order, though not necessarily consecutively. This is a classic use case for the **two-pointer techn...

Approach
  1. Initialize two pointers: i for the array and j for the subsequence, both starting at 0.
  2. Iterate through the array using the pointer i:
    • If the current element in the array (array[i])...

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