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 AI application involves using algorithms to analyze market dynamics, customer preferences, and competitor strategies to develop pricing models and strategies? a) Pricing Optimization b) Competitive Analysis c) Market Research d) Price Intelligence 2 / 30 2. Which component is responsible for rendering graphics and accelerating parallel processing tasks in a computer system? a) Central Processing Unit (CPU) b) Graphics Processing Unit (GPU) c) Random Access Memory (RAM) d) Solid-State Drive (SSD) 3 / 30 3. Which Python library provides an intuitive and flexible interface for deep learning research and development? a) TensorFlow b) PyTorch c) Keras d) Scikit-learn 4 / 30 4. Which programming language is commonly associated with the TensorFlow framework? a) Python b) Java c) C++ d) Ruby 5 / 30 5. 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 6 / 30 6. Which programming language is commonly associated with the Chainer framework? a) Python b) Java c) C++ d) JavaScript 7 / 30 7. Which programming language is commonly used for implementing GANs with the PyTorch framework? a) Python b) Java c) C++ d) Ruby 8 / 30 8. 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 9 / 30 9. Which limitation of AI is related to the challenge of ensuring the safety and reliability of AI-driven systems, particularly in safety-critical applications such as autonomous vehicles or healthcare? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias and fairness issues 10 / 30 10. Which type of memory is commonly used in modern GPUs for storing intermediate computation results during deep learning tasks? a) Flash memory b) Cache memory c) Video Random Access Memory (VRAM) d) Random Access Memory (RAM) 11 / 30 11. 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 12 / 30 12. Which type of processing unit is commonly used for inference tasks in deep learning applications? a) Central Processing Unit (CPU) b) Graphics Processing Unit (GPU) c) Field-Programmable Gate Array (FPGA) d) Application-Specific Integrated Circuit (ASIC) 13 / 30 13. 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) 14 / 30 14. Which evaluation metric is commonly used to measure the accuracy of semantic segmentation models? a) Precision and Recall b) Mean Absolute Error (MAE) c) Intersection over Union (IoU) d) F1 Score 15 / 30 15. Which task in face recognition focuses on detecting and localizing faces within images or video frames? a) Face detection b) Face verification c) Face alignment d) Face encoding 16 / 30 16. Which Python library provides high-level neural network APIs for building and training GANs? a) TensorFlow b) PyTorch c) Keras d) Theano 17 / 30 17. Which limitation of AI is related to the challenge of scaling AI solutions to handle large volumes of data or user interactions? a) Lack of interpretability b) Lack of scalability c) Lack of interoperability d) Lack of computational efficiency 18 / 30 18. Which Artificial Intelligence technique is commonly used in personalized medicine to analyze electronic health records and predict patient outcomes or disease trajectories? a) Natural Language Processing (NLP) b) Reinforcement Learning (RL) c) Decision Trees d) K-means Clustering 19 / 30 19. Which Artificial Intelligence technique is commonly used in industrial automation to classify and categorize products based on quality attributes? a) Convolutional Neural Networks (CNNs) b) Decision Trees c) K-means Clustering d) Logistic Regression 20 / 30 20. Which cloud AI service offers Personality Insights, a service for analyzing text data to infer personality traits and characteristics? a) Google Cloud AI b) AWS AI c) Azure AI d) IBM Watson AI 21 / 30 21. 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 22 / 30 22. 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 23 / 30 23. 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 24 / 30 24. Which programming language is often used for developing deep learning models with the PyTorch framework? a) Python b) Java c) C++ d) JavaScript 25 / 30 25. Which area of AI research focuses on developing algorithms and models that can generate new and original content, such as images, music, or text? a) Generative AI b) Reinforcement Learning c) Supervised Learning d) Unsupervised Learning 26 / 30 26. What is one advantage of using MXNet for deep learning development? a) Limited support for distributed computing b) Compatibility with JavaScript c) Static computation graphs d) High-performance execution and scalability 27 / 30 27. In which domain does Artificial Intelligence contribute to risk assessment, fraud detection, algorithmic trading, and customer relationship management? a) Healthcare b) Agriculture c) Finance d) Transportation 28 / 30 28. 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 29 / 30 29. What is one advantage of using Keras for deep learning development? a) Low-level control over neural network operations b) Compatibility with multiple programming languages c) Integration with distributed computing frameworks d) Simplified model building and experimentation 30 / 30 30. In flying drones, which AI-based approach focuses on learning optimal flight behaviors from trial-and-error interactions with the environment? a) Behavioral cloning b) Imitation learning c) Reinforcement learning d) Supervised learning 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. 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