Interviewers often check if candidates understand the basic categories of machine learning, since this forms the foundation for most AI applications. Which of the following best describes supervised learning?
- The machine learns without labeled data
- The machine learns from labeled data
- The machine learns by trial and error
- The machine learns only from human feedback
Neural networks are central to modern AI, and understanding their purpose shows whether a candidate grasps how machines mimic human cognition. What is the main purpose of a neural network in AI?
- To store large amounts of data
- To mimic the human brain’s decision-making
- To speed up hardware processing
- To replace traditional databases
Employers want to know if candidates can distinguish between supervised and unsupervised learning, since both are widely used in industry. Which of the following is an example of unsupervised learning?
- Predicting house prices
- Classifying emails as spam or not spam
- Grouping customers based on buying behavior
- Training a chatbot to answer questions
Data is the fuel of AI, and interviewers often ask this to ensure candidates understand why data quality and quantity matter. What is the role of data in AI?
- It is optional for AI systems
- It provides the knowledge AI learns from
- It only helps in storing information
- It is used only for hardware testing
Knowing AI’s limitations shows balanced understanding, and employers value candidates who recognize both strengths and weaknesses. Which of these is a limitation of AI?
- AI can process large datasets
- AI can learn patterns from data
- AI lacks human creativity and emotions
- AI can automate repetitive tasks
Deep learning is a buzzword in AI interviews, and candidates should know how it differs from traditional machine learning. What is Deep Learning?
- A subset of Machine Learning using layered neural networks
- A way to store data deeply in databases
- A method of teaching machines with simple rules
- A hardware optimization technique
Real-world applications demonstrate practical knowledge, and healthcare is one of the most impactful AI domains. Which of the following is a real-world use case of AI in healthcare?
- Diagnosing diseases from medical images
- Printing medical reports manually
- Scheduling appointments by phone
- Filing patient records in cabinets
The Turing Test is a classic concept in AI history, and interviewers use it to check if candidates know the origins of AI evaluation. What is the Turing Test used for?
- To measure computer speed
- To check if a machine can mimic human intelligence
- To evaluate programming languages
- To test hardware performance
Ethical AI is a hot topic, and employers want candidates aware of challenges like bias in training data. Which of these is a challenge in AI development?
- Availability of large datasets
- Bias in training data
- Use of cloud computing
- Faster processors
Reinforcement learning is key in robotics and gaming, and interviewers ask this to test understanding of decision-making models. What is reinforcement learning?
- Learning by receiving rewards or penalties
- Learning from labeled datasets
- Learning without any data
- Learning only from human instructions
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