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AIF-C01 practice question: AI, ML and deep learning basics (1 of 3)

Fundamentals of AI and ML A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.

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A retail company's planning team keeps mixing up AI terms in strategy meetings. An analyst explains that a fraud model uses many stacked layers of artificial neurons to learn patterns from millions of transactions.

Which statement correctly places deep learning among the other terms?

Choose one answer.

  1. A. Deep learning is a broader field than AI, and AI is one of its narrower techniques for finding patterns.
  2. B. Deep learning is a subset of machine learning that uses neural networks with many layers.
  3. C. Deep learning is a rule-based approach that needs no training data and is written as fixed if-then logic.
  4. D. Deep learning is another name for generative AI, used only to write text, images and code for users.
Show the answer and explanation

Answer: B

  • A. Wrong: Reversed. AI is the umbrella term, machine learning sits inside it, and deep learning sits inside machine learning.
  • B. Right: Correct. Deep learning is a part of machine learning built on artificial neural networks with many layers of neurons. Those layers learn patterns directly from large amounts of data. Learn more: What is deep learning? (opens in a new tab)
  • C. Wrong: Rule-based systems follow hand-written logic. Deep learning learns its behavior from training data, so it is not a rule-based approach that works without data.
  • D. Wrong: Generative AI is built on deep learning, but deep learning also powers image recognition, speech recognition and forecasting. It is not limited to one use.

Explanation

AI is the broad goal of machines performing tasks that normally need human intelligence. Machine learning is one way to reach it, by learning patterns from data. Deep learning is a subset of machine learning that uses many-layered neural networks, and generative AI is built on top of it. This question tests how the terms nest inside one another.

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