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. 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. 2 / 30 2. Which Artificial Intelligence technique is commonly used in industrial automation to optimize inventory levels and streamline supply chain operations? a) Reinforcement Learning (RL) b) Genetic Algorithms (GA) c) Demand Forecasting d) Inventory Optimization 3 / 30 3. 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) 4 / 30 4. Which sector utilizes Artificial Intelligence for yield optimization, crop monitoring, pest detection, and precision agriculture techniques? a) Healthcare b) Agriculture c) Retail d) Energy 5 / 30 5. In flying drones, which AI-based module is responsible for planning the drone's flight path and making decisions about route navigation? a) Perception b) Localization c) Planning d) Control 6 / 30 6. 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 7 / 30 7. 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 8 / 30 8. Which personalized medicine approach utilizes Artificial Intelligence techniques to integrate patient-specific data from various sources, such as genomics, proteomics, and clinical records, to inform treatment decisions? a) Precision oncology b) Population health management c) Disease prevention d) Public health surveillance 9 / 30 9. Which programming language is often used in conjunction with Python for numerical computing and scientific research? a) Java b) R c) C++ d) MATLAB 10 / 30 10. What is one advantage of using Keras for GAN 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 11 / 30 11. 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 12 / 30 12. 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) 13 / 30 13. Which step in instance segmentation involves post-processing techniques to refine the segmentation masks and remove overlapping instances? a) Mask generation b) Mask encoding c) Mask fusion d) Mask refinement 14 / 30 14. In self-driving cars, what is the primary role of Artificial Intelligence techniques? a) Controlling vehicle navigation and trajectory b) Monitoring driver behavior and attention c) Analyzing road signs and traffic signals d) Detecting and avoiding obstacles in real-time 15 / 30 15. Which Artificial Intelligence technique is commonly used in self-driving cars to predict the future movements of surrounding objects and anticipate potential hazards? a) Recurrent Neural Networks (RNNs) b) Long Short-Term Memory (LSTM) networks c) Markov Decision Processes (MDPs) d) Conditional Random Fields (CRFs) 16 / 30 16. In medical imaging diagnosis, which imaging modality uses high-frequency sound waves to produce images of internal body structures? a) Magnetic Resonance Imaging (MRI) b) Computed Tomography (CT) c) Positron Emission Tomography (PET) d) Ultrasound 17 / 30 17. What term refers to the use of AI techniques to analyze financial data, detect patterns, and identify anomalies or irregularities indicative of fraudulent activities? a) Fraud Detection b) Anomaly Detection c) Risk Management d) Financial Forensics 18 / 30 18. 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 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 programming language is commonly associated with the Chainer framework? a) Python b) Java c) C++ d) JavaScript 21 / 30 21. Which limitation of AI is related to the challenge of ensuring transparency and fairness in AI-driven decision-making, particularly in critical domains such as healthcare or criminal justice? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias and fairness issues 22 / 30 22. 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 23 / 30 23. Which limitation of AI is related to the challenge of ensuring that AI systems' behavior aligns with legal and regulatory requirements? a) Lack of scalability b) Lack of robustness c) Ethical considerations d) Lack of interpretability 24 / 30 24. Which programming language is commonly used for developing deep learning models with the Deeplearning4j framework? a) Python b) Java c) C++ d) JavaScript 25 / 30 25. 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 26 / 30 26. 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 27 / 30 27. 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) 28 / 30 28. Which limitation of AI arises from the challenge of integrating AI systems with existing infrastructure or workflows? a) Lack of interpretability b) Lack of scalability c) Lack of interoperability d) Lack of computational efficiency 29 / 30 29. 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 30 / 30 30. What challenge arises from the potential for Artificial Intelligence 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. Send feedback Buy Artificial Intelligence (AI) MCQ PDF for Offline Study
