Q65 — AWS AIF-C01 Ch.3

Question 65 of 100 | ← Chapter 3

A company has collected hourly temperature readings over the past 30 days. The company wants to train an ML model to predict temperatures for the next 24 hours. Which approach satisfies this requirement?

• A. Clustering algorithm
• B. Anomaly detection algorithm
• C. Forecasting algorithm ✓
• D. Classification algorithm

Correct Answer: C. Forecasting algorithm

Explanation

Predicting temperature for the next 24 hours is a classic time-series forecasting problem. Forecasting algorithms—especially those designed for time-series data—learn patterns from historical data (e.g., hourly temperature readings over 30 days) to project future values. Clustering algorithms group data points; anomaly detection identifies outliers; classification assigns inputs to discrete categories. None of these are suited for temporal prediction. Thus, the correct approach is a forecasting algorithm. View all