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

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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
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1 / 30

1. Which Artificial Intelligence technique is commonly used in industrial automation to analyze historical data and identify patterns or trends that can inform decision-making?

a) Machine Learning

b) Deep Learning

c) Data Mining

d) Predictive Analytics

2 / 30

2. Which programming language is commonly used for developing deep learning models with the Deeplearning4j framework?

a) Python

b) Java

c) C++

d) JavaScript

3 / 30

3. Which limitation of Artificial Intelligence is related to the challenge of ensuring that Artificial Intelligence systems' decisions are aligned with human values and preferences?

a) Lack of interpretability

b) Lack of scalability

c) Lack of robustness

d) Ethical considerations

4 / 30

4. Which programming language is commonly used for implementing GANs with the Caffe framework?

a) Python

b) Java

c) C++

d) JavaScript

5 / 30

5. 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

6 / 30

6. What is the objective of the discriminator in a GAN?

a) To generate synthetic data samples

b) To learn the feature representations of the data

c) To distinguish between real and fake data

d) To optimize the generator's performance

7 / 30

7. 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)

8 / 30

8. What challenge arises from the inability of AI systems to handle uncertainty or ambiguity in real-world environments?

a) Lack of scalability

b) Lack of interpretability

c) Lack of robustness

d) Lack of computational efficiency

9 / 30

9. What challenge arises from the potential for AI systems to exhibit unintended behaviors or consequences that were not anticipated during development?

a) Lack of interpretability

b) Lack of scalability

c) Lack of robustness

d) Ethical dilemmas

10 / 30

10. Which limitation of AI is related to the challenge of ensuring the safety and reliability of AI-driven systems, particularly in safety-critical applications such as autonomous vehicles or healthcare?

a) Lack of interpretability

b) Lack of scalability

c) Lack of robustness

d) Bias and fairness issues

11 / 30

11. 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

12 / 30

12. What challenge arises from the potential for AI systems to reinforce existing societal biases or inequalities present in the training data?

a) Lack of interpretability

b) Lack of scalability

c) Lack of robustness

d) Bias amplification

13 / 30

13. In personalized medicine, which Artificial Intelligence application focuses on identifying patient subgroups with similar characteristics to optimize treatment strategies?

a) Disease classification

b) Treatment planning

c) Risk prediction

d) Clustering analysis

14 / 30

14. Which AI technique involves training models on unlabeled data to discover hidden patterns or structures, typically used in scenarios where labeled data is scarce or expensive to obtain?

a) Unsupervised Learning

b) Supervised Learning

c) Reinforcement Learning

d) Semi-supervised Learning

15 / 30

15. Which component is commonly used as the primary storage medium for operating systems, applications, and user data in modern computer systems?

a) Cache memory

b) Virtual memory

c) Solid-State Drive (SSD)

d) Hard Disk Drive (HDD)

16 / 30

16. 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

17 / 30

17. 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

18 / 30

18. What role does PyTorch play in GAN development?

a) Data visualization

b) Neural network architecture

c) Scientific computing and numerical operations

d) Deep learning model training

19 / 30

19. In self-driving cars, which AI-based module is responsible for planning the vehicle's trajectory and making decisions about route navigation?

a) Perception

b) Localization

c) Planning

d) Control

20 / 30

20. 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)

21 / 30

21. Which type of memory is typically faster but more expensive than traditional Random Access Memory (RAM)?

a) Flash memory

b) Cache memory

c) Virtual memory

d) Hard Disk Drive (HDD)

22 / 30

22. 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

23 / 30

23. 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)

24 / 30

24. Which programming language is commonly used for numerical computing and data analysis in scientific research?

a) Python

b) Java

c) C++

d) MATLAB

25 / 30

25. Which Artificial Intelligence technique is commonly used in fraud detection to analyze transaction patterns and identify unusual or anomalous activities?

a) Support Vector Machines (SVMs)

b) K-means Clustering

c) Isolation Forests

d) Gaussian Mixture Models (GMMs)

26 / 30

26. In industrial automation, what is the primary role of Artificial Intelligence techniques?

a) Monitoring equipment performance

b) Optimizing production processes

c) Managing inventory levels

d) Conducting employee training programs

27 / 30

27. 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

28 / 30

28. What is one advantage of using solid-state drives (SSDs) over traditional hard disk drives (HDDs)?

a) Lower cost per gigabyte

b) Slower data access speeds

c) Less susceptible to physical damage

d) Higher storage capacity

29 / 30

29. 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)

30 / 30

30. 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

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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.

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