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 challenge arises from the potential for AI 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 2 / 30 2. 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 3 / 30 3. What challenge arises from the need for continuous monitoring and maintenance of AI systems to ensure their reliability and performance? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Lack of computational efficiency 4 / 30 4. 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 5 / 30 5. 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 6 / 30 6. 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 7 / 30 7. Which Artificial Intelligence technique is commonly used in algorithmic trading to develop predictive models for forecasting stock prices or market movements? a) Support Vector Machines (SVMs) b) Long Short-Term Memory (LSTM) networks c) Random Forests d) K-nearest neighbors (KNN) 8 / 30 8. 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 9 / 30 9. Which aspect of AI-enabled human capabilities emphasizes collaboration and teamwork? a) Prioritizing AI autonomy and decision-making over human input b) Enhancing human skills and abilities with AI assistance c) Replacing human workers with autonomous AI systems d) Limiting human involvement and control in AI-driven processes 10 / 30 10. 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 11 / 30 11. What is one advantage of using Chainer for deep learning development? a) Static computation graphs b) Limited support for dynamic graph execution c) Compatibility with distributed computing frameworks d) Dynamic computation graphs 12 / 30 12. Which type of memory is typically faster but more expensive than traditional Random Access Memory (RAM)? a) Flash memory b) Cache memory c) Virtual memory d) Hard Disk Drive (HDD) 13 / 30 13. 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 14 / 30 14. 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 15 / 30 15. 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 16 / 30 16. 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) 17 / 30 17. 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 18 / 30 18. Which approach is commonly used to improve the accuracy of instance segmentation models by incorporating contextual information from neighboring pixels? a) Dilated convolutions b) Deconvolutional layers c) Spatial transformer networks d) Graph neural networks 19 / 30 19. 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 20 / 30 20. 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 21 / 30 21. 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 22 / 30 22. 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 23 / 30 23. What is one of the key benefits of AI-enabled human capabilities in the workplace? a) Decreasing human productivity and efficiency in tasks b) Limiting human creativity and decision-making capabilities c) Enabling individuals to adapt to changing environments and challenges d) Increasing reliance on autonomous AI systems for decision-making 24 / 30 24. 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 25 / 30 25. 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 26 / 30 26. What is one advantage of using Python for deep learning development? a) Compatibility with distributed computing frameworks b) Limited support for neural network architectures c) Dynamic typing and flexibility d) Static compilation and optimization 27 / 30 27. 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 28 / 30 28. In what way can the lack of diversity in training data affect the performance of AI models? a) It leads to overfitting. b) It reduces computational efficiency. c) It limits their interpretability. d) It perpetuates bias and discrimination. 29 / 30 29. 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 30 / 30 30. 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 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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