Panel-ready DSA interview set questions for freshers and experienced developers. Practice at Coding Cadre in Faridabad, or Online from Delhi NCR.
Access by index is O(1) because the address is base plus index times size.
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I scan once and store seen values in a hash set or map.
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I push opening brackets and pop when a matching closer arrives.
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BFS uses a queue and explores level by level — good for shortest path in unweighted graphs.
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Kadane’s algorithm keeps a running best ending here.
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Quicksort is often faster in practice with good pivot choice and better cache behavior, average O(n log n).
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Ordering tasks with prerequisites in a DAG.
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Big-O upper-bounds how time or space grow as input size grows, ignoring constants.
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Overlapping subproblems plus optimal substructure.
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DP solves a problem by saving answers to overlapping subproblems so we never recompute them.
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O(1) average with a good hash.
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Preorder with null markers or level order with queue.
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It needs non-negative weights.
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Substring is contiguous
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Scan tokens, push numbers, pop operands for operators.
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Put one array in a hash set and scan the other for hits.
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Two pointers from ends moving inward comparing characters.
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BFS for shortest path in unweighted graphs and level order.
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Overlapping subproblems plus optimal substructure.
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Hash map to nodes plus doubly linked list for recency.
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