AP Computer Science Principles 2025 Practice Test – Complete Exam Prep

Graph algorithms are specifically designed to work with graph data structures, which consist of nodes (or vertices) and edges that connect these nodes. One of their primary uses is to solve problems related to network paths. This includes tasks such as finding the shortest path between two nodes, determining connectivity, and performing searches across nodes.

For example, if you consider a social network, you can use graph algorithms to analyze the connections between users and determine the shortest connection path between two individuals or groups. This characteristic is fundamental to many applications, including routing in networks, analyzing relationships, and modeling real-world systems.

The other choices do not accurately reflect the core purpose of graph algorithms. Document creation and file storage relate more closely to data handling and organization, while financial data analysis can involve various types of algorithms but typically does not directly involve graph algorithms unless the data has a specific network or relationship structure that can be modeled using graphs.