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 technique is commonly used for pixel-level labeling of objects and regions in semantic segmentation? a) Convolutional Neural Networks (CNNs) b) Support Vector Machines (SVMs) c) Principal Component Analysis (PCA) d) Decision Trees 2 / 30 2. Which cloud AI service provides Watson Assistant, a platform for building AI-powered virtual agents and chatbots that can engage in natural language conversations? a) Google Cloud AI b) AWS AI c) Azure AI d) IBM Watson AI 3 / 30 3. Which term describes the adversarial relationship between the generator and discriminator in a GAN? a) Cooperation b) Collaboration c) Competition d) Compromise 4 / 30 4. Which programming language is commonly used for developing GANs with the TensorFlow framework? a) Python b) Java c) C++ d) JavaScript 5 / 30 5. Which cloud AI service offers Language Understanding (LUIS), a service for building natural language understanding into applications using machine learning? a) Google Cloud AI b) AWS AI c) Azure AI d) IBM Watson AI 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 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 8 / 30 8. In semantic segmentation, what is the process of assigning a class label to each pixel in an image? a) Object detection b) Instance segmentation c) Semantic labeling d) Feature extraction 9 / 30 9. Which programming language is commonly used for implementing Generative Adversarial Networks (GANs)? a) Java b) Python c) C++ d) Ruby 10 / 30 10. Which Artificial Intelligence technique is commonly used in fraud detection to group similar transactions together based on their characteristics and detect outliers? a) K-nearest neighbors (KNN) b) Hierarchical clustering c) DBSCAN d) Local Outlier Factor (LOF) 11 / 30 11. 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 12 / 30 12. Which type of memory is commonly used in mobile devices and digital cameras for storing data? a) Cache memory b) Virtual memory c) Flash memory d) Hard Disk Drive (HDD) 13 / 30 13. How does AI assistance contribute to workforce productivity? a) By replacing human workers with autonomous AI systems b) By augmenting human skills and abilities with AI assistance c) By limiting access to AI technologies to a select group of individuals d) By prioritizing AI autonomy and decision-making over human input 14 / 30 14. What term refers to the use of AI techniques to personalize user experiences, recommend products or services, and optimize customer interactions in digital marketing? a) Personalization b) Targeted Marketing c) Customer Segmentation d) Behavioral Targeting 15 / 30 15. Which method in face recognition systems is used to quantify the similarity between facial feature vectors for verification or identification? a) Euclidean distance b) Mahalanobis distance c) Manhattan distance d) Cosine similarity 16 / 30 16. What is one of the limitations of AI related to data quality? a) Limited computing power b) Lack of interpretability c) Data bias and inaccuracies d) High training costs 17 / 30 17. 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 18 / 30 18. What is one of the challenges associated with training GANs? a) Overfitting to the training data b) Difficulty in optimizing the generator network c) Lack of interpretability in generated data d) Limited applicability to specific domains 19 / 30 19. In flying drones, which Artificial Intelligence technique is commonly used to integrate information from multiple sensors and sources to create a unified representation of the drone's surroundings? a) Ensemble learning b) Sensor fusion c) Transfer learning d) Multi-agent systems 20 / 30 20. Which AI application involves using algorithms to analyze customer data, identify patterns, and predict future behaviors or purchasing trends to optimize marketing strategies? a) Predictive Analytics b) Customer Insights c) Market Forecasting d) Behavior Prediction 21 / 30 21. Which object detection algorithm utilizes a fixed set of default bounding boxes to predict object locations and categories? a) YOLO (You Only Look Once) b) SSD (Single Shot MultiBox Detector) c) R-CNN (Region-based Convolutional Neural Network) d) Faster R-CNN (Faster Region-based Convolutional Neural Network) 22 / 30 22. What challenge arises from the complexity and computational demands of training large-scale AI models with deep architectures? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Lack of computational efficiency 23 / 30 23. What challenge arises from the potential for AI systems to make decisions based on biased or incomplete data, leading to unfair or discriminatory outcomes? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias and fairness issues 24 / 30 24. What is the role of the discriminator network in a Generative Adversarial Network (GAN)? a) To generate synthetic data samples b) To optimize the generator's performance c) To distinguish between real and fake data samples d) To learn the feature representations of the data 25 / 30 25. 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 26 / 30 26. 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 27 / 30 27. What is one of the advantages of using Generative Adversarial Networks (GANs) for data generation? a) Limited diversity in the generated data samples b) Increased reliance on labeled training data c) Ability to capture complex data distributions d) Reduced computational complexity in training 28 / 30 28. Which limitation of AI is related to the challenge of interpreting and explaining the decisions made by AI systems, particularly in contexts where human accountability is crucial? a) Lack of interpretability b) Lack of scalability c) Lack of robustness d) Bias and fairness issues 29 / 30 29. 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 30 / 30 30. Which AI application involves using algorithms to analyze market trends, customer preferences, and competitor activities to develop targeted marketing campaigns and strategies? a) Marketing Analytics b) Customer Segmentation c) Predictive Marketing d) Digital Marketing 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 Share the above MCQs: Click to share on Facebook (Opens in new window) Facebook Click to share on WhatsApp (Opens in new window) WhatsApp Click to share on X (Opens in new window) X Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Reddit (Opens in new window) Reddit
