DSA Graphs - Practice Questions 2026

Master DSA Graphs: BFS, DFS, and Shortest Path Algorithms

Welcome to the ultimate practice exams designed to help you prepare for your DSA Graphs (BFS, DFS, Shortest Path) assessments and technical interviews. Graphs are often considered the most challenging part of Data Structures and Algorithms, yet they are the most frequently asked topics in top-tier tech companies. This course is meticulously designed to bridge the gap between theoretical knowledge and practical problem-solving.

Why Serious Learners Choose These Practice Exams

Serious learners understand that watching a video is not the same as solving a problem under pressure. These practice exams offer:

• Unlimited Retakes: You can retake the exams as many times as you want to ensure mastery.

• Original Question Bank: This is a huge, original question bank curated by industry experts.

• Instructor Support: You get direct support from instructors if you have questions or need clarification on complex logic.

• In-depth Explanations: Each question comes with a detailed explanation to ensure you understand the "why" behind the "how."

• Flexibility: The course is fully mobile-compatible with the Udemy app, allowing you to practice on the go.

• Risk-Free: We offer a 30-day money-back guarantee if you are not satisfied with the content quality.

Course Structure

• Basics / Foundations: This section focuses on the fundamental representation of graphs. You will face questions regarding Adjacency Matrices versus Adjacency Lists, identifying directed vs. undirected graphs, and calculating degrees of vertices.

• Core Concepts: Here, we dive into the engines of graph theory: Breadth-First Search (BFS) and Depth-First Search (DFS). You will be tested on traversal orders, stack/queue implementations, and the basic properties of trees vs. graphs.

• Intermediate Concepts: This module covers connectivity and cycle detection. You will solve problems related to finding Connected Components, detecting cycles in both directed and undirected graphs using DFS and Disjoint Set Union (DSU).

• Advanced Concepts: Focuses on Shortest Path algorithms and Minimum Spanning Trees. Expect rigorous questions on Dijkstra’s algorithm, Bellman-Ford, Floyd-Warshall, and Prim/Kruskal algorithms.

• Real-world Scenarios: This section challenges you to apply graph theory to practical problems like social network analysis, network routing, and dependency resolution (Topological Sorting).

• Mixed Revision / Final Test: A comprehensive evaluation that mixes all levels of difficulty to simulate a real-world coding interview or academic exam environment.

  
  

We hope that by now you're convinced! This course is designed to take you from a beginner to an expert in graph algorithms. There are a lot more questions inside the course waiting to challenge you.