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 field employs Artificial Intelligence for drug discovery, personalized medicine, medical imaging analysis, and disease diagnosis? a) Healthcare b) Agriculture c) Retail d) Finance 2 / 30 2. In which sector is Artificial Intelligence applied for personalized learning experiences, adaptive tutoring systems, and educational analytics? a) Healthcare b) Education c) Transportation d) Energy 3 / 30 3. Which cloud AI service offers Lex, a service for building conversational interfaces into applications using voice and text? a) Google Cloud AI b) AWS AI c) Azure AI d) IBM Watson AI 4 / 30 4. Which cloud AI service offers Forecast, a service for building time-series forecasting models using machine learning? a) Google Cloud AI b) AWS AI c) Azure AI d) IBM Watson AI 5 / 30 5. Which Artificial Intelligence technique is commonly used in flying drones to estimate the drone's position and orientation relative to its surroundings? a) Global Positioning System (GPS) b) Simultaneous Localization and Mapping (SLAM) c) Kalman Filters d) Markov Localization 6 / 30 6. Which Artificial Intelligence technique is commonly used in fraud detection to assign fraud scores to transactions based on their likelihood of being fraudulent? a) Support Vector Machines (SVMs) b) Random Forests c) Logistic Regression d) Gradient Boosting Machines (GBMs) 7 / 30 7. Which Artificial Intelligence technique is commonly used in personalized medicine to analyze large-scale genomic data and identify genetic variations associated with disease risk or treatment response? a) Convolutional Neural Networks (CNNs) b) Support Vector Machines (SVMs) c) Principal Component Analysis (PCA) d) Genome-wide association studies (GWAS) 8 / 30 8. Which type of memory is used as the primary working memory for storing data and instructions that are actively being processed by the CPU? a) Cache memory b) Virtual memory c) Flash memory d) Random Access Memory (RAM) 9 / 30 9. 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 10 / 30 10. Which limitation of AI is related to the potential for adversarial attacks to deceive or manipulate AI models? a) Lack of interpretability b) Lack of robustness c) Data bias d) Algorithm complexity 11 / 30 11. Which component is commonly used as the primary storage medium for operating systems, applications, and user data in modern computer systems? a) Cache memory b) Virtual memory c) Solid-State Drive (SSD) d) Hard Disk Drive (HDD) 12 / 30 12. 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 13 / 30 13. 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 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. 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 16 / 30 16. 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 17 / 30 17. What challenge arises from the complexity and computational demands of training large-scale AI models with deep architectures? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Lack of computational efficiency 18 / 30 18. Which programming language is commonly associated with the MXNet framework? a) Python b) Java c) C++ d) Julia 19 / 30 19. Which Artificial Intelligence technique is commonly used in medical imaging diagnosis to assist radiologists in interpreting images and detecting abnormalities? a) Convolutional Neural Networks (CNNs) b) Recurrent Neural Networks (RNNs) c) Support Vector Machines (SVMs) d) Decision Trees 20 / 30 20. Which type of memory is non-volatile and retains data even when the power is turned off? a) Cache memory b) Volatile memory c) Solid-State Drive (SSD) d) Flash memory 21 / 30 21. Which task is instance segmentation most closely related to? a) Object detection b) Semantic segmentation c) Image classification d) Image enhancement 22 / 30 22. Which limitation of Artificial Intelligence is related to the challenge of ensuring that Artificial Intelligence systems' decisions are aligned with human values and preferences? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical considerations 23 / 30 23. Which Artificial Intelligence technique is commonly used in algorithmic trading to analyze large volumes of financial data and identify patterns or trends? a) Convolutional Neural Networks (CNNs) b) Recurrent Neural Networks (RNNs) c) Decision Trees d) Time Series Analysis 24 / 30 24. What challenge arises from the need to address societal concerns such as job displacement or inequality resulting from AI adoption? a) Lack of interpretability b) Lack of scalability c) Lack of ethical guidelines d) Bias and fairness issues 25 / 30 25. What is the term used to describe the ability of AI systems to understand, interpret, and generate human-like natural language? a) Natural Language Processing (NLP) b) Reinforcement Learning c) Deep Learning d) Computer Vision 26 / 30 26. 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 27 / 30 27. What does GAN stand for in the context of Generative AI? a) Global Adversarial Network b) Generative Adversarial Network c) Gradient Activation Network d) Genetic Algorithm Network 28 / 30 28. What challenge arises from the potential for AI systems to reinforce or perpetuate existing social inequalities or biases present in the training data? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias amplification 29 / 30 29. 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 30 / 30 30. Which Artificial Intelligence application in flying drones focuses on executing the planned flight path and controlling the drone's speed, altitude, and orientation? a) Perception b) Localization c) Planning d) Control 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