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Adobe coding & dsa interview questions
5 sample questions — 2 specific to Adobe plus the coding & dsa questions asked everywhere — each with a short answer and what interviewers listen for. Data structures, algorithms, and the coding-round habits interviewers score: clarifying, complexity, edge cases, and clean code.
Sample questions with short answers
Tap a question to reveal the short answer and key points.
1Rotate an N×N image matrix by 90 degrees in place.MediumAdobe-specificShow short answer
Short answer
Transpose the matrix (swap a[i][j] with a[j][i] for j > i), then reverse each row. O(N²) time and O(1) extra space. Adobe's image-heavy interviews often follow up with anti-clockwise rotation (reverse rows first, then transpose) or non-square matrices.
Interviewers listen for
- transpose then reverse each row
- O(1) extra space
- anti-clockwise follow-up
2Implement a function to find the kth largest element in an unsorted array.MediumAdobe-specificShow short answer
Short answer
Use a min-heap of size k for O(n log k), or Quickselect for average O(n) by partitioning around a pivot and recursing into the side that contains the kth index. Mention Quickselect's O(n²) worst case and random pivots. Clarify duplicates and 1-based vs 0-based k.
Interviewers listen for
- min-heap of size k
- Quickselect average O(n)
- worst case and clarifications
3Given an array of integers and a target, return the indices of the two numbers that add up to the target. How would you approach it and what is the complexity?EasyAsked everywhereShow short answer
Short answer
Walk the array once keeping a hash map of value → index. For each element check whether target − value is already in the map; if so return both indices. This is O(n) time and O(n) space, versus the O(n²) brute-force double loop. Clarify whether exactly one solution exists and whether the same element can be reused.
Interviewers listen for
- hash map of value to index
- walk the array once, O(n) time
- clarify duplicates and reuse of an element
4How do you detect a cycle in a linked list without using extra memory?MediumAsked everywhereShow short answer
Short answer
Use Floyd's tortoise-and-hare: advance a slow pointer by one node and a fast pointer by two. If the fast pointer reaches null there is no cycle; if the pointers ever meet there is one. It runs in O(n) time with O(1) extra space. To find the cycle's start, reset one pointer to the head and move both one step at a time until they meet again.
Interviewers listen for
- slow and fast pointers
- O(1) extra space
- pointers meeting proves a cycle
5Explain the difference between BFS and DFS and when you would choose each.MediumAsked everywhereShow short answer
Short answer
BFS explores level by level using a queue, so it finds the shortest path in an unweighted graph and suits 'fewest steps' problems. DFS goes deep first using a stack or recursion, uses less memory on wide graphs, and suits connectivity, cycle detection, topological sort and backtracking. Both are O(V + E); pick by what the problem asks for and the graph's shape.
Interviewers listen for
- BFS uses a queue and finds shortest paths
- DFS uses a stack or recursion
- both O(V + E)
Now practise out loud
Reading answers is step one. Saying them under pressure is what gets you through the loop.
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