Home» Online Test » Technology » Artificial Intelligence (AI) Online Test 0% Sorry, time's up. To complete the online test, please restart it. Created by Vikash chaudhary This 'Artificial Intelligence (AI) Online Test' covers questions across all the topics related to Artificial Intelligence like Robotics, LLM, GPT, NLP, IoT, etc Get fresh, new questions in each attempt. Total Questions: 30 Time Allotted: 30 minutes Passing Score: 50% Randomization: Yes Certificate: Yes Do not refresh the page! 👍 All the best! 1 / 30 1. In medical imaging diagnosis, which Artificial Intelligence application aims to automatically segment organs and tissues from medical images? a) Image classification b) Image enhancement c) Image segmentation d) Image registration 2 / 30 2. Which object detection algorithm combines region proposal generation with object classification in a single end-to-end network? a) YOLO (You Only Look Once) b) SSD (Single Shot MultiBox Detector) c) R-CNN (Region-based Convolutional Neural Network) d) Faster R-CNN (Faster Region-based Convolutional Neural Network) 3 / 30 3. Which programming language is commonly associated with the Keras library? a) Python b) Java c) C++ d) R 4 / 30 4. Which Artificial Intelligence technique is commonly used in industrial automation to optimize inventory levels and streamline supply chain operations? a) Reinforcement Learning (RL) b) Genetic Algorithms (GA) c) Demand Forecasting d) Inventory Optimization 5 / 30 5. What term refers to the use of AI techniques to detect and prevent fraudulent activities and behaviors in financial transactions, insurance claims, and other domains? a) Anomaly Detection b) Risk Management c) Predictive Analytics d) Fraud Detection 6 / 30 6. Which AI application involves using algorithms to analyze financial data, market trends, and historical patterns to make investment decisions and optimize portfolio management? a) Algorithmic Trading b) Financial Forecasting c) Risk Management d) Quantitative Analysis 7 / 30 7. Which AI application involves using algorithms to understand and interpret human emotions, sentiments, and intentions expressed in text, speech, or images? a) Emotion Recognition b) Natural Language Processing (NLP) c) Sentiment Analysis d) Cognitive Computing 8 / 30 8. In flying drones, which AI-based module is responsible for planning the drone's flight path and making decisions about route navigation? a) Perception b) Localization c) Planning d) Control 9 / 30 9. In self-driving cars, which Artificial Intelligence technique is commonly used to integrate information from multiple sensors and sources to create a unified representation of the vehicle's surroundings? a) Ensemble learning b) Sensor fusion c) Transfer learning d) Multi-agent systems 10 / 30 10. Which programming language is commonly associated with the Theano library? a) Python b) Java c) C++ d) R 11 / 30 11. Which cloud AI service provides QnA Maker, a service for creating question-and-answer bots that can extract answers from structured or unstructured content? a) Google Cloud AI b) AWS AI c) Azure AI d) IBM Watson AI 12 / 30 12. Which programming language is commonly associated with the TensorFlow framework? a) Python b) Java c) C++ d) Ruby 13 / 30 13. Which Artificial Intelligence technique is commonly used in self-driving cars to process sensor data and make real-time decisions about vehicle control? a) Reinforcement Learning (RL) b) Convolutional Neural Networks (CNNs) c) Recurrent Neural Networks (RNNs) d) Deep Q-Networks (DQN) 14 / 30 14. What challenge arises from the potential for Artificial Intelligence systems to make decisions that may conflict with human values or moral principles? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical dilemmas 15 / 30 15. Which limitation of AI is related to the challenge of ensuring that AI systems' behavior aligns with ethical and societal norms? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical considerations 16 / 30 16. Which AI application involves using algorithms to analyze patient data, medical records, and clinical outcomes to improve healthcare delivery, patient outcomes, and population health management? a) Healthcare Analytics b) Clinical Decision Support c) Patient Risk Stratification d) Population Health Management 17 / 30 17. Which programming language is commonly associated with the Keras library? a) Python b) Java c) C++ d) R 18 / 30 18. What is one advantage of using Chainer for deep learning development? a) Static computation graphs b) Limited support for dynamic graph execution c) Compatibility with distributed computing frameworks d) Dynamic computation graphs 19 / 30 19. Which aspect of AI systems can pose a limitation due to the potential for bias in training data or algorithms? a) Scalability b) Data privacy c) Fairness d) Algorithm complexity 20 / 30 20. What challenge arises from the potential for AI systems to make decisions that may conflict with human values or moral principles? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical dilemmas 21 / 30 21. What is one advantage of using CNTK for deep learning development? a) Static computation graphs b) Limited support for dynamic graph execution c) Compatibility with distributed computing frameworks d) High-performance execution and scalability 22 / 30 22. Which component is responsible for managing input and output operations between a computer system and external devices? a) Cache memory b) Input/Output Controller (I/O Controller) c) Solid-State Drive (SSD) d) Random Access Memory (RAM) 23 / 30 23. What is one advantage of using Python for deep learning development? a) Compatibility with distributed computing frameworks b) Limited support for neural network architectures c) Dynamic typing and flexibility d) Static compilation and optimization 24 / 30 24. Which limitation of AI arises from the challenge of integrating AI systems with existing infrastructure or workflows? a) Lack of interpretability b) Lack of scalability c) Lack of interoperability d) Lack of computational efficiency 25 / 30 25. Which Artificial Intelligence technique is commonly used in flying drones to process sensor data and make real-time decisions about flight control? a) Reinforcement Learning (RL) b) Convolutional Neural Networks (CNNs) c) Recurrent Neural Networks (RNNs) d) Deep Q-Networks (DQN) 26 / 30 26. In medical imaging diagnosis, which imaging modality uses high-frequency sound waves to produce images of internal body structures? a) Magnetic Resonance Imaging (MRI) b) Computed Tomography (CT) c) Positron Emission Tomography (PET) d) Ultrasound 27 / 30 27. Which limitation of AI is related to the challenge of ensuring that AI systems behave ethically and responsibly in their interactions with humans and society? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical considerations 28 / 30 28. Which cloud AI service provides Watson Assistant, a platform for building AI-powered virtual agents and chatbots that can engage in natural language conversations? a) Google Cloud AI b) AWS AI c) Azure AI d) IBM Watson AI 29 / 30 29. Which Artificial Intelligence application in self-driving cars focuses on identifying and tracking objects in the vehicle's surroundings, such as pedestrians, vehicles, and obstacles? a) Perception b) Localization c) Planning d) Control 30 / 30 30. Which AI application involves using algorithms to analyze customer data, identify patterns, and predict future behaviors or purchasing trends to optimize marketing strategies? a) Predictive Analytics b) Customer Insights c) Market Forecasting d) Behavior Prediction Please provide accurate information so we can send your Achievement Certificate by mail. NameEmailPhone Number Your score isShare your achievement! LinkedIn Facebook 0% Restart Test Please provide your feedback. Thank you for your valuable feedback. Send feedback Buy Artificial Intelligence (AI) MCQ PDF for Offline Study