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. Which programming language is often used for developing deep learning models with the MXNet framework? a) Python b) Java c) C++ d) Julia 2 / 30 2. Which Artificial Intelligence technique is commonly used in fraud detection to identify fraudulent activities by modeling the underlying probability distribution of normal behavior? a) Support Vector Machines (SVMs) b) Gaussian Mixture Models (GMMs) c) Decision Trees d) Neural Networks 3 / 30 3. Which technique is commonly used for representing and encoding facial features in face recognition systems? a) Histogram of Oriented Gradients (HOG) b) Local Binary Patterns (LBP) c) Principal Component Analysis (PCA) d) Convolutional Neural Networks (CNNs) 4 / 30 4. Which optimization technique is commonly used to train Generative Adversarial Networks (GANs)? a) Gradient descent b) Genetic algorithms c) Reinforcement learning d) Adversarial training 5 / 30 5. 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 6 / 30 6. What challenge arises from the need to address ethical considerations and societal impacts in the development and deployment of AI technologies? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Lack of ethical guidelines 7 / 30 7. Which Python library provides an intuitive and flexible interface for deep learning research and development? a) TensorFlow b) PyTorch c) Keras d) Scikit-learn 8 / 30 8. How does AI assistance contribute to workforce productivity? a) By replacing human workers with autonomous AI systems b) By augmenting human skills and abilities with AI assistance c) By limiting access to AI technologies to a select group of individuals d) By prioritizing AI autonomy and decision-making over human input 9 / 30 9. Which personalized medicine approach utilizes Artificial Intelligence techniques to integrate patient-specific data from various sources, such as genomics, proteomics, and clinical records, to inform treatment decisions? a) Precision oncology b) Population health management c) Disease prevention d) Public health surveillance 10 / 30 10. How can organizations maximize the benefits of human-AI collaboration technology? a) By limiting human involvement and control in AI-driven processes b) By fostering a culture of openness, trust, and collaboration between humans and AI c) By prioritizing AI autonomy and decision-making over human input d) By replacing human workers with autonomous AI systems 11 / 30 11. Which AI-based medical imaging application focuses on predicting the likelihood of certain diseases or conditions based on imaging findings and patient data? a) Computer-aided detection (CAD) b) Disease classification c) Prognostication modeling d) Radiomics analysis 12 / 30 12. 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 13 / 30 13. 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 14 / 30 14. Which limitation of Artificial Intelligence is related to the challenge of ensuring that Artificial Intelligence systems operate reliably and predictably in diverse and dynamic environments? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical considerations 15 / 30 15. What is one advantage of using DL4J for deep learning development? a) Compatibility with Python libraries b) Limited support for distributed computing c) Integration with cloud computing platforms d) Seamless integration with existing Java applications 16 / 30 16. 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) 17 / 30 17. What challenge arises from the potential for AI systems to reinforce existing societal biases or inequalities present in the training data? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias amplification 18 / 30 18. Which limitation of AI is related to the challenge of ensuring fairness and equity in AI-driven outcomes across different demographic groups? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias and fairness issues 19 / 30 19. In personalized medicine, which AI-based approach utilizes patient-specific data to predict the most effective treatment options or dosages? a) Disease classification b) Treatment planning c) Drug discovery d) Pharmacogenomics 20 / 30 20. What term refers to the use of AI techniques to automate repetitive tasks, streamline business processes, and improve operational efficiency in industries such as finance, healthcare, and manufacturing? a) Robotic Process Automation (RPA) b) Business Process Automation c) Intelligent Automation d) Workflow Automation 21 / 30 21. What term refers to the use of AI techniques to personalize user experiences, recommend products or services, and optimize customer interactions in digital marketing? a) Personalization b) Targeted Marketing c) Customer Segmentation d) Behavioral Targeting 22 / 30 22. Which AI technique involves mimicking the structure and functionality of the human brain to perform complex computational tasks, typically used in scenarios where traditional algorithms may not be suitable? a) Neural Networks b) Decision Trees c) Random Forests d) Support Vector Machines (SVMs) 23 / 30 23. Which Artificial Intelligence technique is commonly used in service robots to navigate through indoor environments and avoid obstacles autonomously? a) Reinforcement Learning (RL) b) Simultaneous Localization and Mapping (SLAM) c) Convolutional Neural Networks (CNNs) d) Markov Decision Processes (MDPs) 24 / 30 24. In algorithmic trading, which AI-based technique involves analyzing financial news, social media sentiment, and other textual data to gauge market sentiment? a) Technical analysis b) Fundamental analysis c) Sentiment analysis d) High-frequency trading 25 / 30 25. In industrial automation, which AI-based approach focuses on optimizing production schedules and resource allocation to maximize efficiency? a) Reinforcement learning b) Genetic algorithms c) Particle swarm optimization d) Simulated annealing 26 / 30 26. Which limitation of AI is related to the challenge of ensuring that AI systems' behavior aligns with legal and regulatory requirements? a) Lack of scalability b) Lack of robustness c) Ethical considerations d) Lack of interpretability 27 / 30 27. Which Artificial Intelligence technique is commonly used in service robots to process natural language input from users and generate appropriate responses? a) Natural Language Processing (NLP) b) Reinforcement Learning (RL) c) Deep Q-Networks (DQN) d) Convolutional Neural Networks (CNNs) 28 / 30 28. 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 29 / 30 29. Which Artificial Intelligence technique is commonly used in medical imaging diagnosis to align and combine multiple imaging datasets for comprehensive analysis? a) Convolutional Neural Networks (CNNs) b) Recurrent Neural Networks (RNNs) c) Generative Adversarial Networks (GANs) d) Image registration algorithms 30 / 30 30. How can organizations leverage AI to enhance human capabilities effectively? a) By limiting human involvement and control in AI-driven processes b) By fostering a culture of openness, trust, and collaboration between humans and AI c) By prioritizing AI autonomy and decision-making over human input d) By replacing human workers with autonomous AI systems Please provide accurate information so we can send your Achievement Certificate by mail. NameEmailPhone Number Your score is Share your achievement! LinkedIn Facebook Twitter 0% Restart Test Please provide your feedback. Thank you for your valuable feedback. Send feedback Buy Artificial Intelligence (AI) MCQ PDF for Offline Study
