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 term refers to the use of AI techniques to automate repetitive tasks, streamline business processes, and improve operational efficiency in industries such as finance, healthcare, and manufacturing? a) Robotic Process Automation (RPA) b) Business Process Automation c) Intelligent Automation d) Workflow Automation 2 / 30 2. 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 3 / 30 3. Which component is responsible for managing input and output operations between a computer system and external devices? a) Cache memory b) Input/Output Controller (I/O Controller) c) Solid-State Drive (SSD) d) Random Access Memory (RAM) 4 / 30 4. Which term describes the process in a GAN where the generator tries to improve its performance based on the feedback from the discriminator? a) Discrimination b) Adversarial training c) Generation d) Optimization 5 / 30 5. What is the term used to describe the ability of AI systems to understand, interpret, and generate human-like natural language? a) Natural Language Processing (NLP) b) Reinforcement Learning c) Deep Learning d) Computer Vision 6 / 30 6. Which AI technique involves mimicking the structure and functionality of the human brain to perform complex computational tasks, typically used in scenarios where traditional algorithms may not be suitable? a) Neural Networks b) Decision Trees c) Random Forests d) Support Vector Machines (SVMs) 7 / 30 7. 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 8 / 30 8. Which programming language is often used in conjunction with Python for numerical computing and scientific research? a) Java b) R c) C++ d) MATLAB 9 / 30 9. 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 10 / 30 10. 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 11 / 30 11. What term refers to the use of AI techniques to automate repetitive tasks, streamline workflows, and improve operational efficiency in business processes? a) Business Process Automation b) Workflow Optimization c) Operational Efficiency d) Task Automation 12 / 30 12. 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 13 / 30 13. 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 14 / 30 14. Which task is instance segmentation most closely related to? a) Object detection b) Semantic segmentation c) Image classification d) Image enhancement 15 / 30 15. What term refers to the ability of AI systems to automatically improve and adapt their performance over time without explicit programming or human intervention? a) Self-learning b) Transfer Learning c) Reinforcement Learning d) Evolutionary Algorithms 16 / 30 16. 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 17 / 30 17. Which component is responsible for managing memory resources and facilitating data exchange between the CPU and storage devices? a) Cache memory b) Virtual memory c) Solid-State Drive (SSD) d) Hard Disk Drive (HDD) 18 / 30 18. In object detection algorithms like YOLO and SSD, what is the purpose of non-maximum suppression (NMS)? a) Enhancing the visual quality of detected objects b) Reducing false positive detections by filtering out redundant bounding boxes c) Extracting features from detected objects for further analysis d) Fine-tuning the model parameters based on the training data 19 / 30 19. 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) 20 / 30 20. 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 21 / 30 21. Which term describes the adversarial relationship between the generator and discriminator in a GAN? a) Cooperation b) Collaboration c) Competition d) Compromise 22 / 30 22. Which term describes the process in Generative Adversarial Networks (GANs) where the generator and discriminator networks improve iteratively through competition? a) Gradient descent b) Discrimination c) Adversarial training d) Backpropagation 23 / 30 23. 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 24 / 30 24. What is one advantage of using Caffe for deep learning development? a) Dynamic computation graphs b) Limited flexibility in model customization c) Compatibility with multiple programming languages d) High-performance inference and deployment 25 / 30 25. 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) 26 / 30 26. Which programming language is often used for developing deep learning models with the MXNet framework? a) Python b) Java c) C++ d) Julia 27 / 30 27. Which Artificial Intelligence technique is commonly used in self-driving cars to estimate the vehicle's position and orientation relative to its surroundings? a) Global Positioning System (GPS) b) Simultaneous Localization and Mapping (SLAM) c) Kalman Filters d) Markov Localization 28 / 30 28. Which component is responsible for storing and executing firmware instructions to initialize hardware components during the boot process? a) Cache memory b) Basic Input/Output System (BIOS) c) Solid-State Drive (SSD) d) Random Access Memory (RAM) 29 / 30 29. 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 30 / 30 30. What is one of the challenges in maximizing the benefits of AI-enabled human capabilities? a) Prioritizing AI autonomy and decision-making over human input b) Fostering trust, transparency, and communication between humans and AI c) Ignoring the potential benefits of AI in improving human performance d) Balancing AI assistance with human expertise and judgment in tasks 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)Click to share on WhatsApp (Opens in new window)Click to share on X (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Reddit (Opens in new window)
