Which of the following is NOT a key characteristic of a good algorithm?

Sharpen your skills for the WGU C839v5 / D334 Algorithms Exam. Use interactive flashcards and multiple-choice questions with in-depth explanations to prepare effectively. Ace your test with confidence!

A good algorithm must possess certain key characteristics to be effective and efficient. Among these, clarity and unambiguity are crucial; an algorithm should be easily understandable, leaving no room for misinterpretation. Finiteness refers to the requirement that an algorithm must eventually terminate after a finite number of steps, ensuring it does not run indefinitely. Effectiveness indicates that the steps of the algorithm should be feasible, meaning they can be performed with available resources.

Complexity, while an important consideration in evaluating how efficiently an algorithm runs in terms of time and space, is not inherently a characteristic that defines whether an algorithm is good. An algorithm can be complex yet still poorly defined, ambiguous, or infinite. In fact, many good algorithms are designed to minimize complexity, making them easier to implement and more efficient in their execution.

Therefore, complexity is not a key characteristic of a good algorithm, making it the correct answer in this context.

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