Oracle OCI AI Foundations (1Z0-1122-25) - 340 Questions

1. A data scientist is building a model to predict customer churn using historical subscription data with labeled outcomes (churned or not churned). Which type of machine learning is most appropriate?

2. A retail company wants to group its customers into segments based on purchasing behavior without any predefined categories. Which machine learning approach should be used?

3. An AI system is being trained to play a video game by trying actions and receiving points when it wins. Which machine learning paradigm does this represent?

4. A healthcare company has 10,000 medical images but only 500 are labeled by radiologists. The team wants to leverage all available data. Which machine learning approach is most suitable?

5. During the ML workflow, a data scientist discovers that 15% of records in the training dataset have missing values in the age column. Which preprocessing step should be applied?