AI Essentials Quest

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AI basics quiz

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Anoop Pataria

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AI Essentials Quest


Froggy Jumps AI Essentials QuestVersión en línea AI basics quiz por Anoop Pataria 1 What is artificial intelligence (AI) in simple terms? a A programming language for apps b A type of data storage technology c The science of creating machines that perform tasks requiring human intelligence. 2 Which approach learns from data to make predictions? a Software engineering b Machine learning c Rule-based programming 3 Which AI field relies on neural networks with many layers? a Deep learning b Expert systems c Fuzzy logic 4 What does overfitting mean in machine learning? a Model is too simple to learn patterns b Model underestimates data variance c Model fits training data too closely, hurting generalization. 5 What is reinforcement learning primarily about? a Learning from labeled data only b Creating static decision trees c Agents learning by interacting with an environment to maximize rewards. 6 Which term describes AI that mimics human reasoning with symbols and rules? a Symbolic AI b Neural AI c Analog AI 7 What is a common measure for model accuracy on unseen data? a Data storage size b Test accuracy c Training speed 8 Which bias occurs when training data is not representative? a Algorithmic bias b Temporal bias c Sampling bias 9 What does NLP stand for in AI? a Natural Language Processing b Neural Logic Protocol c Normalized Logarithmic Processing 10 Which AI safety concept aims to prevent harmful outcomes? a AI alignment b AI compression c AI isolation 11 What does AI primarily aim to do? a Create intelligence only for gaming b Perform tasks requiring human-like intelligence c Replace human intuition with machines 12 Which subfield studies how machines learn from data? a Machine learning b Robotics c Natural language processing 13 What is a neural network inspired by? a The structure of the human brain b Electrical circuits c Computer networks 14 Which learning method uses labeled data? a Reinforcement learning b Supervised learning c Unsupervised learning 15 What does NLP stand for in AI? a Nonlinear Patterning b Natural Language Processing c Neural Logic Programming 16 Which task is typically associated with computer vision? a Image or video understanding b Algorithmic trading c Voice amplification 17 What is reinforcement learning based on? a Agent learns via rewards and punishments b Unsupervised clustering c Supervised labels only 18 Which AI approach uses large amounts of data and patterns? a Shallow rule-based systems b Deep learning c Manual programming 19 What is bias in AI models? a Systematic errors affecting predictions b Random noise only c Perfect accuracy 20 Which phase is crucial before deploying AI in production? a Only model training is needed b Skip testing to save time c Evaluation and testing

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AI Essentials QuestVersión en línea

por Anoop Pataria

What is artificial intelligence (AI) in simple terms?

Which approach learns from data to make predictions?

Which AI field relies on neural networks with many layers?

What does overfitting mean in machine learning?

What is reinforcement learning primarily about?

Which term describes AI that mimics human reasoning with symbols and rules?

What is a common measure for model accuracy on unseen data?

Which bias occurs when training data is not representative?

What does NLP stand for in AI?

Which AI safety concept aims to prevent harmful outcomes?

What does AI primarily aim to do?

Which subfield studies how machines learn from data?

What is a neural network inspired by?

Which learning method uses labeled data?

What does NLP stand for in AI?

Which task is typically associated with computer vision?

What is reinforcement learning based on?

Which AI approach uses large amounts of data and patterns?

What is bias in AI models?

Which phase is crucial before deploying AI in production?