Fundamentals of AI and ML

Which statement correctly describes the relationship between artificial intelligence, machine learning, and deep learning?

• AMachine learning is a subset of AI, and deep learning is a subset of machine learning.
• BDeep learning is the broadest field, and AI is a narrow subset within it.
• CAI, machine learning, and deep learning are three unrelated technical fields.
• DMachine learning contains AI, which in turn contains deep learning as a subset.

AI is the broadest field, machine learning is a subset of AI that learns patterns from data, and deep learning is a subset of machine learning that uses multi-layered neural networks. The other options reverse or scramble this nesting.

A company scores millions of stored customer records overnight in a single scheduled job, rather than responding to individual requests as they arrive. Which type of inferencing is this?

• AReal-time inferencing, which returns a prediction immediately per request.
• BBatch inferencing, which processes a large set of records in one scheduled run.
• CReinforcement learning, which trains an agent through rewards and penalties.
• DFeature engineering, which prepares input variables before a model is trained.

Batch inferencing processes a large volume of records together, typically on a schedule, and suits workloads with no immediate-response requirement. Real-time inferencing serves individual requests with low latency, while reinforcement learning and feature engineering describe training and data preparation.