CompTIA DataX (DY0-001) — Question 21

Which of the following distance metrics for KNN is best described as a straight line?

Answer options

• A. Radial
• B. Euclidean
• C. Cosine
• D. Manhattan

Correct answer: B

Explanation

The Euclidean distance is defined as the straight-line distance between two points in Euclidean space, making it the correct choice. Radial, Cosine, and Manhattan distances do not represent a straight line; Manhattan measures distance along grid lines, while Cosine focuses on the angle between vectors.