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 cloud AI service offers Lex, a service for building conversational interfaces into applications using voice and text?

a) Google Cloud AI

b) AWS AI

c) Azure AI

d) IBM Watson AI

2 / 30

2. Which type of memory is used as the primary working memory for storing data and instructions that are actively being processed by the CPU?

a) Cache memory

b) Virtual memory

c) Flash memory

d) Random Access Memory (RAM)

3 / 30

3. In algorithmic trading, which AI-based approach focuses on predicting short-term fluctuations in stock prices or market trends?

a) Technical analysis

b) Fundamental analysis

c) Sentiment analysis

d) High-frequency trading

4 / 30

4. Which field employs Artificial Intelligence for drug discovery, personalized medicine, medical imaging analysis, and disease diagnosis?

a) Healthcare

b) Agriculture

c) Retail

d) Finance

5 / 30

5. What role does NumPy play in implementing GANs with Python?

a) Data visualization

b) Neural network architecture

c) Scientific computing and numerical operations

d) Deep learning model training

6 / 30

6. What is one of the benefits of enhancing human capabilities with AI?

a) Decreasing human productivity and efficiency in tasks

b) Limiting human creativity and decision-making capabilities

c) Enabling individuals to tackle complex problems more effectively

d) Increasing reliance on autonomous AI systems for decision-making

7 / 30

7. 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

8 / 30

8. What challenge arises from the potential for misuse or malicious use of AI technologies for harmful purposes?

a) Lack of interpretability

b) Lack of scalability

c) Lack of ethical guidelines

d) Bias and fairness issues

9 / 30

9. What is one of the benefits of using GANs in generating synthetic data?

a) Increased reliance on labeled training data

b) Limited diversity in the generated data samples

c) Ability to capture complex data distributions

d) Reduced computational complexity in training

10 / 30

10. 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)

11 / 30

11. What is one advantage of using CNTK for deep learning development?

a) Static computation graphs

b) Limited support for dynamic graph execution

c) Compatibility with distributed computing frameworks

d) High-performance execution and scalability

12 / 30

12. Which programming language is commonly associated with the TensorFlow framework?

a) Python

b) Java

c) C++

d) Ruby

13 / 30

13. 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)

14 / 30

14. 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

15 / 30

15. Which AI application involves using algorithms to analyze sensor data, monitor equipment performance, and predict potential failures or maintenance needs in industrial settings?

a) Predictive Maintenance

b) Equipment Monitoring

c) Industrial Analytics

d) Asset Management

16 / 30

16. In which sector is Artificial Intelligence applied for personalized learning experiences, adaptive tutoring systems, and educational analytics?

a) Healthcare

b) Education

c) Transportation

d) Energy

17 / 30

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

a) Python

b) Java

c) C++

d) R

18 / 30

18. Which component is responsible for storing and managing data in a database management system?

a) CPU

b) GPU

c) Hard Disk Drive (HDD)

d) Random Access Memory (RAM)

19 / 30

19. 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

20 / 30

20. In service robots, which AI-based approach focuses on learning optimal behaviors for interacting with humans through imitation and practice?

a) Behavioral cloning

b) Reinforcement learning

c) Imitation learning

d) Supervised learning

21 / 30

21. 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

22 / 30

22. Which component is responsible for storing and retrieving data from long-term storage in a computer system?

a) Cache memory

b) Control Unit (CU)

c) Solid-State Drive (SSD)

d) Random Access Memory (RAM)

23 / 30

23. Which limitation of AI is related to the challenge of ensuring that AI systems' behavior aligns with ethical and societal norms?

a) Lack of interpretability

b) Lack of scalability

c) Lack of robustness

d) Ethical considerations

24 / 30

24. 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)

25 / 30

25. 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

26 / 30

26. 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

27 / 30

27. What is one advantage of using MXNet for deep learning development?

a) Limited support for distributed computing

b) Compatibility with JavaScript

c) Static computation graphs

d) High-performance execution and scalability

28 / 30

28. Which Artificial Intelligence application in industrial automation focuses on optimizing production line layouts and workflows to minimize bottlenecks and increase throughput?

a) Facility layout planning

b) Workflow optimization

c) Lean manufacturing

d) Kanban systems

29 / 30

29. What does GAN stand for in the context of Generative AI?

a) Global Adversarial Network

b) Generative Adversarial Network

c) Gradient Activation Network

d) Genetic Algorithm Network

30 / 30

30. Which AI application involves using algorithms to analyze historical sales data, customer behaviors, and market trends to forecast future demand and optimize inventory management?

a) Demand Forecasting

b) Inventory Optimization

c) Supply Chain Management

d) Sales Prediction

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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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