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. Which Artificial Intelligence technique is commonly used in flying drones to predict the future movements of objects in the drone's flight path and anticipate potential collisions? a) Recurrent Neural Networks (RNNs) b) Long Short-Term Memory (LSTM) networks c) Markov Decision Processes (MDPs) d) Conditional Random Fields (CRFs) 2 / 30 2. Which programming language is commonly associated with the MXNet framework? a) Python b) Java c) C++ d) Julia 3 / 30 3. What term refers to the use of AI techniques to analyze data from various sources, such as social media, customer interactions, and market trends, to gain insights into consumer behavior and preferences? a) Consumer Insights b) Market Intelligence c) Social Media Analytics d) Consumer Behavior Analysis 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 programming language is commonly associated with the Chainer framework? a) Python b) Java c) C++ d) JavaScript 6 / 30 6. Which Artificial Intelligence application in flying drones focuses on identifying and avoiding obstacles or hazards in the drone's flight path? a) Perception b) Localization c) Planning d) Control 7 / 30 7. What challenge arises from the inability of AI systems to generalize beyond the specific tasks they were trained on? a) Overfitting b) Bias c) Data sparsity d) Lack of scalability 8 / 30 8. What is the primary advantage of using Graphics Processing Units (GPUs) for deep learning tasks? a) Lower power consumption b) Lower cost c) Higher parallel processing capabilities d) Higher clock speeds 9 / 30 9. 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 10 / 30 10. What is one advantage of using Chainer for deep learning development? a) Static computation graphs b) Limited flexibility in model customization c) Compatibility with distributed computing frameworks d) Dynamic computation graphs 11 / 30 11. Which limitation of Artificial Intelligence is related to the challenge of ensuring transparency and accountability in Artificial Intelligence systems' decision-making processes? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias and fairness issues 12 / 30 12. Which component is responsible for managing and coordinating the execution of instructions in a computer system? a) Control Unit (CU) b) Solid-State Drive (SSD) c) Random Access Memory (RAM) d) Cache memory 13 / 30 13. Which AI application involves using algorithms to analyze sensor data, monitor equipment performance, and predict potential failures or maintenance needs in industrial settings? a) Predictive Maintenance b) Equipment Monitoring c) Industrial Analytics d) Asset Management 14 / 30 14. Which programming language is commonly associated with the DL4J (Deep Learning for Java) framework? a) Python b) Java c) C++ d) JavaScript 15 / 30 15. In GANs, what is the purpose of the generator network? a) To classify real and fake data samples b) To transform random noise into synthetic data samples c) To optimize the discriminator's performance d) To learn the feature representations of the data 16 / 30 16. Which Artificial Intelligence technique is commonly used in medical imaging diagnosis to analyze quantitative features extracted from medical images for predictive modeling? a) Convolutional Neural Networks (CNNs) b) Recurrent Neural Networks (RNNs) c) Support Vector Machines (SVMs) d) Radiomics analysis 17 / 30 17. Which limitation of AI is related to the challenge of ensuring accountability and responsibility for AI-driven decisions and outcomes? a) Data privacy concerns b) Lack of interpretability c) Lack of interoperability d) Bias and fairness issues 18 / 30 18. 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 19 / 30 19. Which Artificial Intelligence application in algorithmic trading focuses on executing trades at high speeds and frequencies to capitalize on small price discrepancies? a) Scalping b) Arbitrage c) Market making d) Momentum trading 20 / 30 20. Which cloud AI service provides Dialogflow, a conversational AI platform for building virtual agents and chatbots that can interact with users in natural language? a) Google Cloud AI b) AWS AI c) Azure AI d) IBM Watson AI 21 / 30 21. Which Artificial Intelligence technique is commonly used in fraud detection to analyze transaction patterns and identify unusual or anomalous activities? a) Support Vector Machines (SVMs) b) K-means Clustering c) Isolation Forests d) Gaussian Mixture Models (GMMs) 22 / 30 22. What challenge arises from the potential for Artificial Intelligence systems to make decisions with significant social or ethical implications without human oversight or intervention? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical dilemmas 23 / 30 23. Which aspect of AI systems can pose a limitation due to the requirement for substantial computational resources and energy consumption? a) Lack of interpretability b) Lack of scalability c) Lack of computational efficiency d) Lack of interoperability 24 / 30 24. Which sector utilizes Artificial Intelligence for yield optimization, crop monitoring, pest detection, and precision agriculture techniques? a) Healthcare b) Agriculture c) Retail d) Energy 25 / 30 25. What is one advantage of using Theano for deep learning development? a) High-level neural network abstractions b) Limited support for automatic differentiation c) Compatibility with JavaScript d) Efficient computation on CPU and GPU 26 / 30 26. 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 27 / 30 27. Which limitation of AI is related to the challenge of ensuring the security and privacy of sensitive data used by AI systems? a) Lack of interpretability b) Data bias c) Lack of computational efficiency d) Data privacy concerns 28 / 30 28. What term refers to the use of AI techniques to analyze and interpret visual data, enabling machines to perceive and understand the visual world? a) Computer Vision b) Natural Language Processing (NLP) c) Reinforcement Learning d) Generative Adversarial Networks (GANs) 29 / 30 29. Which programming language is commonly associated with the CNTK (Microsoft Cognitive Toolkit)? a) Python b) Java c) C++ d) JavaScript 30 / 30 30. 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 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. 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