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 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. What is one of the advantages of using Generative Adversarial Networks (GANs) for data generation? a) Limited diversity in the generated data samples b) Increased reliance on labeled training data c) Ability to capture complex data distributions d) Reduced computational complexity in training 2 / 30 2. Which Artificial Intelligence application in self-driving cars focuses on executing the planned trajectory and controlling the vehicle's acceleration, braking, and steering? a) Perception b) Localization c) Planning d) Control 3 / 30 3. What is one of the challenges associated with training GANs? a) Overfitting to the training data b) Difficulty in optimizing the generator network c) Lack of interpretability in generated data d) Limited applicability to specific domains 4 / 30 4. Which AI application involves using algorithms to analyze and interpret large datasets, uncovering hidden patterns, trends, and insights? a) Data Analytics b) Natural Language Processing (NLP) c) Reinforcement Learning d) Computer Vision 5 / 30 5. Which Artificial Intelligence application in industrial automation focuses on analyzing sensor data and detecting anomalies or deviations from normal operating conditions? a) Predictive maintenance b) Fault detection and diagnosis c) Quality control d) Supply chain optimization 6 / 30 6. Which term describes the process in Generative Adversarial Networks (GANs) where the generator and discriminator networks improve iteratively through competition? a) Gradient descent b) Discrimination c) Adversarial training d) Backpropagation 7 / 30 7. In what way can the black-box nature of some AI models hinder their effectiveness? a) It leads to overfitting. b) It reduces computational efficiency. c) It limits their interpretability. d) It increases data complexity. 8 / 30 8. 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 9 / 30 9. What term refers to the use of AI techniques to automate repetitive tasks, streamline workflows, and improve operational efficiency in business processes? a) Business Process Automation b) Workflow Optimization c) Operational Efficiency d) Task Automation 10 / 30 10. 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 11 / 30 11. What challenge arises from the potential for AI systems to exhibit unintended behaviors or consequences that were not anticipated during development? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical dilemmas 12 / 30 12. What is the role of the discriminator network in a Generative Adversarial Network (GAN)? a) To generate synthetic data samples b) To optimize the generator's performance c) To distinguish between real and fake data samples d) To learn the feature representations of the data 13 / 30 13. What term refers to the use of AI techniques to analyze supply chain data, optimize logistics operations, and enhance supply chain visibility and resilience? a) Supply Chain Optimization b) Logistics Automation c) Supply Chain Analytics d) Supply Chain Intelligence 14 / 30 14. What is one advantage of using MATLAB for GAN development? a) Low-level control over neural network operations b) Compatibility with multiple programming languages c) Integration with distributed computing frameworks d) Built-in functions for mathematical operations and visualization 15 / 30 15. Which object detection algorithm is known for its multi-scale feature fusion and region proposal network (RPN)? 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) 16 / 30 16. Which Artificial Intelligence application in fraud detection focuses on verifying the identity of individuals through biometric data or authentication mechanisms? a) Identity verification b) User profiling c) Behavioral analytics d) Access control 17 / 30 17. Which AI application involves using algorithms to analyze employee data, performance metrics, and organizational dynamics to optimize workforce management and productivity? a) Human Resources Analytics b) Workforce Optimization c) Talent Management d) Employee Performance Analysis 18 / 30 18. What challenge arises from the potential for Artificial Intelligence systems to generate outputs or recommendations that are difficult for humans to understand or trust? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical dilemmas 19 / 30 19. Which Artificial Intelligence application in service robots focuses on recognizing and interpreting human gestures, expressions, and emotions? a) Gesture recognition b) Emotion recognition c) Facial recognition d) Human behavior analysis 20 / 30 20. In semantic segmentation, what is the process of assigning a class label to each pixel in an image? a) Object detection b) Instance segmentation c) Semantic labeling d) Feature extraction 21 / 30 21. What challenge arises from the potential for AI systems to exhibit biases or discrimination in their decision-making processes, particularly against certain demographic groups? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias and fairness issues 22 / 30 22. What term refers to the integration of AI and robotics technologies to develop intelligent machines capable of performing tasks autonomously or semi-autonomously? a) Robotics Automation b) Intelligent Robotics c) Robotic Process Automation (RPA) d) Cognitive Robotics 23 / 30 23. Which popular instance segmentation algorithm extends the Faster R-CNN architecture to generate segmentation masks for each detected object? a) Mask R-CNN b) YOLO (You Only Look Once) c) SSD (Single Shot MultiBox Detector) d) Faster R-CNN (Faster Region-based Convolutional Neural Network) 24 / 30 24. Which imaging modality in medical imaging diagnosis utilizes strong magnetic fields and radio waves to produce detailed images of internal body structures? a) Magnetic Resonance Imaging (MRI) b) Computed Tomography (CT) c) Positron Emission Tomography (PET) d) Ultrasound 25 / 30 25. In personalized medicine, which Artificial Intelligence application focuses on identifying patient subgroups with similar characteristics to optimize treatment strategies? a) Disease classification b) Treatment planning c) Risk prediction d) Clustering analysis 26 / 30 26. What role does PyTorch play in GAN development? a) Data visualization b) Neural network architecture c) Scientific computing and numerical operations d) Deep learning model training 27 / 30 27. 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 28 / 30 28. What challenge arises from the potential for Artificial Intelligence systems to exhibit unintended behaviors or consequences that were not anticipated during development? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical dilemmas 29 / 30 29. Which AI application involves using algorithms to analyze and interpret medical images such as X-rays, MRI scans, and CT scans to assist in the diagnosis and treatment of diseases? a) Medical Imaging Diagnosis b) Radiology Automation c) Diagnostic Imaging d) Clinical Decision Support 30 / 30 30. What term refers to the use of AI techniques to optimize manufacturing processes, improve product quality, and increase operational efficiency in industrial environments? a) Smart Manufacturing b) Industrial Automation c) Manufacturing Optimization d) Production Enhancement Please provide accurate information so we can send your Achievement Certificate by mail. NameEmailPhone Number Your score is Share your achievement! 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