Artificial Intelligence (AI) Online Test »GPT, LLM, NLP, IoT

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. Which Artificial Intelligence technique is commonly used in flying drones to estimate the drone'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

2 / 30

2. Which object detection algorithm is known for its multi-scale feature fusion and region proposal network (RPN)?

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)

3 / 30

3. 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

4 / 30

4. 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

5 / 30

5. Which industry employs Artificial Intelligence for route optimization, demand forecasting, fleet management, and autonomous vehicles?

a) Healthcare

b) Agriculture

c) Transportation

d) Finance

6 / 30

6. Which type of processing unit is more suitable for general-purpose computing tasks, including data preprocessing and postprocessing?

a) Central Processing Unit (CPU)

b) Graphics Processing Unit (GPU)

c) Field-Programmable Gate Array (FPGA)

d) Application-Specific Integrated Circuit (ASIC)

7 / 30

7. Which cloud AI service provides Dialogflow, a conversational AI platform for building virtual agents and chatbots that can interact with users in natural language?

a) Google Cloud AI

b) AWS AI

c) Azure AI

d) IBM Watson AI

8 / 30

8. 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

9 / 30

9. Which Artificial Intelligence technique is commonly used in fraud detection to assign fraud scores to transactions based on their likelihood of being fraudulent?

a) Support Vector Machines (SVMs)

b) Random Forests

c) Logistic Regression

d) Gradient Boosting Machines (GBMs)

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. Which type of memory is non-volatile and retains data even when the power is turned off?

a) Cache memory

b) Volatile memory

c) Solid-State Drive (SSD)

d) Flash memory

12 / 30

12. 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

13 / 30

13. Which AI application involves using algorithms to analyze and interpret human behavior, preferences, and interactions with digital systems to personalize user experiences?

a) Personalization

b) Recommendation Systems

c) Emotion Recognition

d) Cognitive Computing

14 / 30

14. Which programming language is commonly associated with the Theano library?

a) Python

b) Java

c) C++

d) R

15 / 30

15. What challenge arises from the potential for AI systems to exhibit unintended or unforeseen behaviors, particularly in complex or dynamic environments?

a) Lack of interpretability

b) Lack of scalability

c) Lack of robustness

d) Bias and fairness issues

16 / 30

16. What challenge arises from the potential for Artificial Intelligence 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

17 / 30

17. What is the primary objective of semantic segmentation in computer vision?

a) Detecting and localizing objects within images

b) Identifying the semantic meaning of objects in images

c) Enhancing the visual quality of segmented images

d) Extracting features from segmented regions for analysis

18 / 30

18. Which component is responsible for rendering graphics and accelerating parallel processing tasks in a computer system?

a) Central Processing Unit (CPU)

b) Graphics Processing Unit (GPU)

c) Random Access Memory (RAM)

d) Solid-State Drive (SSD)

19 / 30

19. How can organizations leverage AI to enhance human capabilities effectively?

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

20 / 30

20. Which limitation of AI is related to the challenge of ensuring that AI systems behave ethically and responsibly in their interactions with humans and society?

a) Lack of interpretability

b) Lack of scalability

c) Lack of robustness

d) Ethical considerations

21 / 30

21. Which Artificial Intelligence technique is commonly used in flying drones to predict the future movements of objects in the drone's flight path and anticipate potential collisions?

a) Recurrent Neural Networks (RNNs)

b) Long Short-Term Memory (LSTM) networks

c) Markov Decision Processes (MDPs)

d) Conditional Random Fields (CRFs)

22 / 30

22. 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

23 / 30

23. Which type of memory is commonly used in modern GPUs for storing intermediate computation results during deep learning tasks?

a) Flash memory

b) Cache memory

c) Video Random Access Memory (VRAM)

d) Random Access Memory (RAM)

24 / 30

24. Which object detection algorithm combines region proposal generation with object classification in a single end-to-end network?

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)

25 / 30

25. Which programming language is commonly used for developing GANs with the TensorFlow framework?

a) Python

b) Java

c) C++

d) JavaScript

26 / 30

26. Which AI application involves using algorithms to analyze customer interactions, feedback, and sentiment to improve customer service and satisfaction?

a) Customer Experience Management

b) Customer Feedback Analysis

c) Sentiment Analysis

d) Customer Satisfaction Improvement

27 / 30

27. What term refers to the use of AI techniques to automate administrative tasks, streamline workflows, and enhance patient care in healthcare settings?

a) Medical Automation

b) Healthcare Automation

c) Clinical Automation

d) Administrative Automation

28 / 30

28. 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

29 / 30

29. In which field is Artificial Intelligence commonly used to improve customer service through chatbots and virtual assistants?

a) Healthcare

b) Finance

c) Retail

d) Agriculture

30 / 30

30. Which aspect of AI systems can pose a limitation due to the potential for bias in training data or algorithms?

a) Scalability

b) Data privacy

c) Fairness

d) Algorithm complexity

Please provide accurate information so we can send your Achievement Certificate by mail.

NameEmailPhone Number

Your score is

Please provide your feedback.

Thank you for your valuable feedback.

Buy Artificial Intelligence (AI) MCQ PDF for Offline Study

Artificial Intelligence (AI) Online Test

This 'Artificial Intelligence (AI) Online Test' covers questions across all the topics related to Artificial Intelligence like Robotics, LLM, GPT, NLP, IoT, etc

Please provide accurate information so we can send your Achievement Certificate by mail.

Related MCQs