Question 1
Which of the following BEST describes the relationship between artificial intelligence (AI) and machine learning (ML)?
Show answer & explanation
Correct answer: D - ML is a subset of AI where systems learn from data
10 free, exam-style AWS Certified AI Practitioner (AIF-C01) (AWS-AIF) practice questions with answers and explanations. No signup required. Work through them below, then take the full free AWS-AIF practice test to study every exam domain.
Which of the following BEST describes the relationship between artificial intelligence (AI) and machine learning (ML)?
Correct answer: D - ML is a subset of AI where systems learn from data
A company is exploring AI technologies and wants to understand the hierarchy of AI subfields. Which ordering correctly represents the relationship from broadest to most specific?
Correct answer: B - AI → Machine Learning → Deep Learning → Generative AI
What distinguishes generative AI from traditional machine learning?
Correct answer: B - Generative AI creates new content rather than just classifying existing data
Which term describes a large model that is pre-trained on massive datasets and can be adapted for many different downstream tasks?
Correct answer: B - Foundation model
A data scientist explains that their model uses multiple layers of interconnected nodes inspired by the human brain. Which technology is the data scientist describing?
Correct answer: C - Neural network
What is the PRIMARY characteristic that makes deep learning different from traditional machine learning?
Correct answer: B - Deep learning uses multi-layered neural networks to learn complex patterns
Which of the following is the BEST definition of a large language model (LLM)?
Correct answer: B - A foundation model specifically designed for natural language tasks
A company wants to build a system that can understand spoken language, recognize images, AND generate text responses. Which AI capability would BEST support this requirement?
Correct answer: B - Multi-modal model
What is the process of using a trained model to make predictions on new, unseen data called?
Correct answer: C - Inferencing
An engineer is feeding thousands of labeled images into an algorithm so it can learn to identify objects. What is this process called?
Correct answer: C - Training
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