Question 36
Domain 1: Describe AI workloads and considerationsThis is used to highlight the strongest pattern in a dataset:
Correct answer: B
Explanation
Principal Component Analysis identifies the directions of greatest variance in a dataset, which reveals the strongest pattern in the data. It reduces many variables into a smaller set of components while preserving as much information as possible, so it is used to highlight the main structure or pattern.
Why each option is right or wrong
A. Reinforcement Learning
B. Principal Component Analysis
Principal Component Analysis is the standard method for extracting the dominant structure in multivariate data because it computes orthogonal components ordered by explained variance, with the first principal component capturing the maximum possible variance under the constraint of unit length. In practice, the leading component(s) are the ones used to emphasize the strongest pattern in the dataset, since they preserve the largest share of information while discarding lower-variance noise.
C. K-means
D. Classification Algorithm