Google Cloud Digital Leader — Question 287
An organization is training a machine learning model to predict extreme weather events in their country.
How should they collect data to maximize prediction accuracy?
Answer options
- A. Collect all weather data evenly across all cities
- B. Collect all weather data primarily from at-risk cities
- C. Collect extreme weather data evenly across all cities
- D. Collect extreme weather data primarily from at-risk cities
Correct answer: A
Explanation
The correct answer is A because collecting data evenly across all cities ensures a diverse dataset that reflects various weather patterns, which is critical for accurate predictions. Options B and D focus too narrowly on at-risk cities, potentially missing out on valuable insights from other areas. Option C, while better than B and D, still prioritizes extreme weather data, which may not provide a comprehensive view needed for accurate model training.