Dijkstra and Shortest Path Algorithms - Applications - Case Studies

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Q. In a case study involving a city map, which application of Dijkstra's algorithm is most relevant?
  • A. Finding the fastest route between two locations
  • B. Calculating the total distance of all roads
  • C. Determining the longest path in the city
  • D. Finding all intersections in the map
Q. What is the main advantage of using Dijkstra's algorithm over other shortest path algorithms?
  • A. It can handle negative weights
  • B. It is simpler to implement
  • C. It guarantees the shortest path in graphs with non-negative weights
  • D. It works on directed graphs only
Q. Which of the following is NOT a limitation of Dijkstra's algorithm?
  • A. It cannot handle negative weight edges
  • B. It is not suitable for dense graphs
  • C. It finds the shortest path from a single source
  • D. It can be inefficient for large graphs
Q. Which of the following scenarios would require the use of an alternative to Dijkstra's algorithm?
  • A. Finding the shortest path in a road network
  • B. Calculating the shortest path in a graph with negative weights
  • C. Finding the shortest path in a weighted graph
  • D. Finding the shortest path in a tree structure
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