Menu iconMenu iconAlgorithms and Data Structures with Python
Algorithms and Data Structures with Python

Quiz Part III: Advanced Algorithmic Techniques and Network Structures

Questions of Quiz Part III: Advanced Algorithmic Techniques and Network Structures

1. What is a key characteristic of a problem that makes it suitable for a Greedy algorithm?

  • a) Overlapping subproblems
  • b) Optimal substructure
  • c) Non-overlapping subproblems
  • d) Local optima leading to a global optimum

2. In Dynamic Programming, what is the difference between the 'top-down' and 'bottom-up' approaches?

  • a) Top-down uses iteration, while bottom-up uses recursion.
  • b) Top-down starts with subproblems, while bottom-up starts with the main problem.
  • c) Top-down uses memoization, while bottom-up uses tabulation.
  • d) There is no significant difference.

3. What is the primary use of Dijkstra's algorithm?

  • a) To find the shortest path in a graph with negative edge weights.
  • b) To find the minimum spanning tree in a graph.
  • c) To find the shortest path from a single source to all other nodes in a weighted graph.
  • d) To detect cycles in a graph.

4. Which algorithm is commonly used for detecting strongly connected components in a directed graph?

  • a) Kruskal’s Algorithm
  • b) Floyd-Warshall Algorithm
  • c) Tarjan’s Algorithm
  • d) Prim’s Algorithm

5. In graph theory, what is a 'bridge'?

  • a) A path that connects two nodes.
  • b) An edge whose removal increases the number of connected components.
  • c) The shortest path between two nodes.
  • d) An edge with the maximum weight.

6. What does the Ford-Fulkerson algorithm calculate?

  • a) The shortest path in a graph.
  • b) The maximum flow in a flow network.
  • c) The minimum spanning tree.
  • d) The number of connected components.

7. What is 'backtracking' in the context of algorithm design?

  • a) A technique for finding the least-cost path in a graph.
  • b) A strategy for exploring all possibilities systematically and abandoning a path if it leads to a dead end.
  • c) Reducing the problem size by dividing it into smaller subproblems.
  • d) Revisiting previous steps to find alternative solutions.

8. Which statement is true about Floyd-Warshall algorithm?

  • a) It finds the shortest path between all pairs of nodes in a weighted graph.
  • b) It is used for sorting nodes in a graph.
  • c) It can only be used in unweighted graphs.
  • d) It is a greedy algorithm for finding shortest paths.

Questions of Quiz Part III: Advanced Algorithmic Techniques and Network Structures

1. What is a key characteristic of a problem that makes it suitable for a Greedy algorithm?

  • a) Overlapping subproblems
  • b) Optimal substructure
  • c) Non-overlapping subproblems
  • d) Local optima leading to a global optimum

2. In Dynamic Programming, what is the difference between the 'top-down' and 'bottom-up' approaches?

  • a) Top-down uses iteration, while bottom-up uses recursion.
  • b) Top-down starts with subproblems, while bottom-up starts with the main problem.
  • c) Top-down uses memoization, while bottom-up uses tabulation.
  • d) There is no significant difference.

3. What is the primary use of Dijkstra's algorithm?

  • a) To find the shortest path in a graph with negative edge weights.
  • b) To find the minimum spanning tree in a graph.
  • c) To find the shortest path from a single source to all other nodes in a weighted graph.
  • d) To detect cycles in a graph.

4. Which algorithm is commonly used for detecting strongly connected components in a directed graph?

  • a) Kruskal’s Algorithm
  • b) Floyd-Warshall Algorithm
  • c) Tarjan’s Algorithm
  • d) Prim’s Algorithm

5. In graph theory, what is a 'bridge'?

  • a) A path that connects two nodes.
  • b) An edge whose removal increases the number of connected components.
  • c) The shortest path between two nodes.
  • d) An edge with the maximum weight.

6. What does the Ford-Fulkerson algorithm calculate?

  • a) The shortest path in a graph.
  • b) The maximum flow in a flow network.
  • c) The minimum spanning tree.
  • d) The number of connected components.

7. What is 'backtracking' in the context of algorithm design?

  • a) A technique for finding the least-cost path in a graph.
  • b) A strategy for exploring all possibilities systematically and abandoning a path if it leads to a dead end.
  • c) Reducing the problem size by dividing it into smaller subproblems.
  • d) Revisiting previous steps to find alternative solutions.

8. Which statement is true about Floyd-Warshall algorithm?

  • a) It finds the shortest path between all pairs of nodes in a weighted graph.
  • b) It is used for sorting nodes in a graph.
  • c) It can only be used in unweighted graphs.
  • d) It is a greedy algorithm for finding shortest paths.

Questions of Quiz Part III: Advanced Algorithmic Techniques and Network Structures

1. What is a key characteristic of a problem that makes it suitable for a Greedy algorithm?

  • a) Overlapping subproblems
  • b) Optimal substructure
  • c) Non-overlapping subproblems
  • d) Local optima leading to a global optimum

2. In Dynamic Programming, what is the difference between the 'top-down' and 'bottom-up' approaches?

  • a) Top-down uses iteration, while bottom-up uses recursion.
  • b) Top-down starts with subproblems, while bottom-up starts with the main problem.
  • c) Top-down uses memoization, while bottom-up uses tabulation.
  • d) There is no significant difference.

3. What is the primary use of Dijkstra's algorithm?

  • a) To find the shortest path in a graph with negative edge weights.
  • b) To find the minimum spanning tree in a graph.
  • c) To find the shortest path from a single source to all other nodes in a weighted graph.
  • d) To detect cycles in a graph.

4. Which algorithm is commonly used for detecting strongly connected components in a directed graph?

  • a) Kruskal’s Algorithm
  • b) Floyd-Warshall Algorithm
  • c) Tarjan’s Algorithm
  • d) Prim’s Algorithm

5. In graph theory, what is a 'bridge'?

  • a) A path that connects two nodes.
  • b) An edge whose removal increases the number of connected components.
  • c) The shortest path between two nodes.
  • d) An edge with the maximum weight.

6. What does the Ford-Fulkerson algorithm calculate?

  • a) The shortest path in a graph.
  • b) The maximum flow in a flow network.
  • c) The minimum spanning tree.
  • d) The number of connected components.

7. What is 'backtracking' in the context of algorithm design?

  • a) A technique for finding the least-cost path in a graph.
  • b) A strategy for exploring all possibilities systematically and abandoning a path if it leads to a dead end.
  • c) Reducing the problem size by dividing it into smaller subproblems.
  • d) Revisiting previous steps to find alternative solutions.

8. Which statement is true about Floyd-Warshall algorithm?

  • a) It finds the shortest path between all pairs of nodes in a weighted graph.
  • b) It is used for sorting nodes in a graph.
  • c) It can only be used in unweighted graphs.
  • d) It is a greedy algorithm for finding shortest paths.

Questions of Quiz Part III: Advanced Algorithmic Techniques and Network Structures

1. What is a key characteristic of a problem that makes it suitable for a Greedy algorithm?

  • a) Overlapping subproblems
  • b) Optimal substructure
  • c) Non-overlapping subproblems
  • d) Local optima leading to a global optimum

2. In Dynamic Programming, what is the difference between the 'top-down' and 'bottom-up' approaches?

  • a) Top-down uses iteration, while bottom-up uses recursion.
  • b) Top-down starts with subproblems, while bottom-up starts with the main problem.
  • c) Top-down uses memoization, while bottom-up uses tabulation.
  • d) There is no significant difference.

3. What is the primary use of Dijkstra's algorithm?

  • a) To find the shortest path in a graph with negative edge weights.
  • b) To find the minimum spanning tree in a graph.
  • c) To find the shortest path from a single source to all other nodes in a weighted graph.
  • d) To detect cycles in a graph.

4. Which algorithm is commonly used for detecting strongly connected components in a directed graph?

  • a) Kruskal’s Algorithm
  • b) Floyd-Warshall Algorithm
  • c) Tarjan’s Algorithm
  • d) Prim’s Algorithm

5. In graph theory, what is a 'bridge'?

  • a) A path that connects two nodes.
  • b) An edge whose removal increases the number of connected components.
  • c) The shortest path between two nodes.
  • d) An edge with the maximum weight.

6. What does the Ford-Fulkerson algorithm calculate?

  • a) The shortest path in a graph.
  • b) The maximum flow in a flow network.
  • c) The minimum spanning tree.
  • d) The number of connected components.

7. What is 'backtracking' in the context of algorithm design?

  • a) A technique for finding the least-cost path in a graph.
  • b) A strategy for exploring all possibilities systematically and abandoning a path if it leads to a dead end.
  • c) Reducing the problem size by dividing it into smaller subproblems.
  • d) Revisiting previous steps to find alternative solutions.

8. Which statement is true about Floyd-Warshall algorithm?

  • a) It finds the shortest path between all pairs of nodes in a weighted graph.
  • b) It is used for sorting nodes in a graph.
  • c) It can only be used in unweighted graphs.
  • d) It is a greedy algorithm for finding shortest paths.