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. What term refers to the use of AI techniques to develop personalized treatment plans and therapies based on an individual's genetic makeup, medical history, and lifestyle factors? a) Precision Medicine b) Personalized Healthcare c) Genomic Medicine d) Targeted Therapy 2 / 30 2. 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 3 / 30 3. In fraud detection, which AI-based technique involves combining multiple models or algorithms to improve the accuracy of fraud detection systems? a) Ensemble learning b) Reinforcement learning c) Transfer learning d) Meta-learning 4 / 30 4. Which programming language is commonly associated with the TensorFlow framework? a) Python b) Java c) C++ d) Ruby 5 / 30 5. Which aspect of AI-enabled human capabilities focuses on improving decision-making? 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 6 / 30 6. Which aspect of AI can pose a limitation due to the lack of transparency in how AI systems make decisions? a) Data availability b) Interpretability c) Scalability d) Algorithm complexity 7 / 30 7. Which AI application involves using algorithms to analyze financial markets, data, and trends to make trading decisions and optimize investment strategies? a) Algorithmic Trading b) High-Frequency Trading (HFT) c) Financial Forecasting d) Quantitative Analysis 8 / 30 8. Which component is responsible for converting analog signals into digital data for processing by a computer system? a) Cache memory b) Analog-to-Digital Converter (ADC) c) Solid-State Drive (SSD) d) Hard Disk Drive (HDD) 9 / 30 9. Which AI application involves using algorithms to analyze and interpret medical images such as X-rays, MRI scans, and CT scans to assist in the diagnosis and treatment of diseases? a) Medical Imaging Diagnosis b) Radiology Automation c) Diagnostic Imaging d) Clinical Decision Support 10 / 30 10. What challenge arises from the potential for AI systems to make decisions that may conflict with human values or moral principles? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical dilemmas 11 / 30 11. Which technique in face recognition involves learning a discriminative embedding space where faces of the same identity are closer together? a) Histogram of Oriented Gradients (HOG) b) Local Binary Patterns (LBP) c) Siamese networks d) Support Vector Machines (SVMs) 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. 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 14 / 30 14. Which Artificial Intelligence technique is commonly used in industrial automation to predict equipment failures and schedule maintenance proactively? a) Support Vector Machines (SVMs) b) Recurrent Neural Networks (RNNs) c) Decision Trees d) Time Series Analysis 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. In algorithmic trading, which AI-based approach focuses on predicting short-term fluctuations in stock prices or market trends? a) Technical analysis b) Fundamental analysis c) Sentiment analysis d) High-frequency trading 17 / 30 17. Which Artificial Intelligence technique is commonly used in personalized medicine to predict individual patient risks for developing certain diseases or adverse outcomes? a) Support Vector Machines (SVMs) b) Recurrent Neural Networks (RNNs) c) Decision Trees d) Risk prediction modeling 18 / 30 18. 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 19 / 30 19. Which programming language is commonly associated with the Keras library? a) Python b) Java c) C++ d) R 20 / 30 20. 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 21 / 30 21. Which AI-based technique is used in personalized medicine to predict individual patient responses to specific medications based on genetic factors? a) Disease classification b) Treatment planning c) Pharmacogenomics d) Drug discovery 22 / 30 22. Which factor contributes to the limitation of AI models in handling unexpected or novel situations? a) Lack of computing power b) Lack of interpretability c) Data bias d) Lack of robustness 23 / 30 23. 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 24 / 30 24. Which type of processing unit is commonly used for training deep learning models due to its parallel processing capabilities? a) Central Processing Unit (CPU) b) Graphics Processing Unit (GPU) c) Field-Programmable Gate Array (FPGA) d) Application-Specific Integrated Circuit (ASIC) 25 / 30 25. 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 26 / 30 26. Which programming language is commonly used for implementing GANs with the Caffe framework? a) Python b) Java c) C++ d) JavaScript 27 / 30 27. What challenge arises from the potential for AI systems to inadvertently perpetuate or amplify existing social biases or inequalities? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias and fairness issues 28 / 30 28. 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) 29 / 30 29. Which optimization technique is commonly used to train Generative Adversarial Networks (GANs)? a) Gradient descent b) Genetic algorithms c) Reinforcement learning d) Adversarial training 30 / 30 30. Which limitation of AI is related to the challenge of ensuring that AI systems' decisions are aligned with human values and preferences? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Ethical considerations 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