Nkti Ai Pretest

What is a primary characteristic of AI?

• AI systems require direct human input for all decisions
• AI systems can perform tasks that typically require human intelligence
• AI systems always have human-like reasoning
• AI systems are only used for image recognition

Which of the following is a common application of machine learning?

• Forecasting weather patterns
• Baking recipes
• Handwritten note-taking
• Text-based adventure games

What makes deep learning different from traditional machine learning?

• It only handles small datasets
• It requires less computational power
• It uses multi-layer neural networks to learn from data
• It uses simple linear models

Which of the following tasks can NLP perform?

• Translate spoken language into another language
• Design new computer chips
• Identify different bird species
• Predict chemical reactions

What is the primary goal of computer vision?

• To enable computers to understand visual data like images and videos
• To enable computers to play complex strategy games
• To enable computers to analyze financial data
• To enable computers to write code automatically

Which of the following best describes supervised learning?

• It is only used in computer vision applications
• It doesn't need any labeled data
• It relies on reinforcement signals
• It requires labeled data to train models

Which of the following scenarios is ideal for unsupervised learning?

• Classifying medical images into known disease categories
• Detecting spam emails based on labeled examples
• Sorting customer data into unknown segments
• Predicting future stock prices

What can generative AI do?

• Predict stock market trends
• Detect anomalies in network traffic
• Create new content, such as images and text
• Sort through large datasets quickly

What are neural networks most inspired by?

• The hierarchical structure of biological organisms
• The decision-making process of humans
• The rules of Boolean algebra
• The structure and function of the human brain

What is the purpose of training data in machine learning?

• To teach a model by providing examples to learn from
• To validate the accuracy of a trained model
• To test how well a model performs
• To visualize the output of a trained model