AWS Certified AI Practitioner (AIF-C01) — Question 94

An AI practitioner wants to predict the classification of flowers based on petal length, petal width, sepal length, and sepal width.

Which algorithm meets these requirements?

Answer options

• A. K-nearest neighbors (k-NN)
• B. K-mean
• C. Autoregressive Integrated Moving Average (ARIMA)
• D. Linear regression

Correct answer: A

Explanation

The K-nearest neighbors (k-NN) algorithm is appropriate for classification tasks, making it ideal for predicting flower classifications based on the specified features. In contrast, K-mean is used for clustering, ARIMA is designed for time series forecasting, and linear regression is primarily used for predicting continuous outcomes rather than classifications.