How do I approach Coding & Algorithms interview questions?

Coding & Algorithms questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master coding & algorithms interviews.

What difficulty level is this interview question?

This is a medium difficulty Coding & Algorithms question, commonly asked during Onsite rounds at Oracle.

What role is this question designed for?

This question is commonly asked for Software Engineer candidates at Oracle during technical interviews.

Solve Five Coding Problems | Oracle Interview Question

Quick Overview

This problem set evaluates proficiency in core algorithms and data structures, including graph traversal and connected-component identification, array partitioning and minimum-swap reasoning, digit-level monotonicity and numerical manipulation, fixed-capacity cache design with O(1) access and eviction policies, and structural comparison of N-ary trees. These tasks are commonly asked in technical interviews to test algorithmic problem-solving and design thinking within the Coding & Algorithms domain, requiring both conceptual understanding and practical implementation skills along with explicit time and space complexity analysis.

The interview included several coding tasks. Solve each of the following and discuss time and space complexity:

Given a 2D grid where '1' represents land and '0' represents water, return the number of connected land regions. Cells are connected only vertically and horizontally.
Given an integer array, you may swap any two elements. Find the minimum number of swaps required so that all even numbers appear before all odd numbers.
Given a non-negative integer n , return the largest integer less than or equal to n whose digits are in nondecreasing order from left to right.
Design a fixed-capacity key-value cache with get(key) and put(key, value) in O(1) time. When the cache is full, evict the least recently used entry. Follow-up: explain how to support per-entry expiration.
Given two N-ary trees, determine whether they are structurally identical and contain the same values in corresponding nodes. Follow-up: describe an iterative solution.

Solve Five Coding Problems

Quick Overview

Solve Five Coding Problems

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