AP Computer Science Practice Test 2025 – Complete Exam Prep

In the context of algorithms, a heuristic refers to a strategy or "rule of thumb" that helps guide problem-solving processes, particularly in situations where an exhaustive search for a solution is impractical due to time or resource constraints. Heuristics are not guaranteed to provide the optimal solution but are valuable for navigating complex problems efficiently by enabling quicker decision-making when faced with uncertainty or incomplete information.

The correct option highlights the essence of heuristics—acting as a guiding principle when an algorithm encounters challenges in finding a solution. They serve to streamline the process, allowing for practical approximations or shortcuts that can lead to satisfactory outcomes, especially in fields like artificial intelligence and optimization.

Other options focus on different concepts: a step-by-step method represents deterministic algorithms, predefined rules suggest inflexibility contrary to the adaptive nature of heuristics, and a type that guarantees a correct solution describes algorithms like those based on exhaustive search or formal proofs, which do not apply to heuristics.