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WorksheetsUxjdu
Total questions: 124
Worksheet time: 10mins
Name
Class
Date
1.
What is Generative AI?
a)
AI that focuses on analyzing data
b)
AI that generates new content or data
c)
AI used for automating repetitive tasks
d)
AI used for data storage
2.
What is a Generative Adversarial Network (GAN)?
a)
A network for data analysis
b)
A type of neural network architecture for generative modeling
c)
A network for fast data processing
d)
A network for data encryption
3.
Which language is more commonly used in data science ?
a)
Java
b)
Ruby
c)
R
d)
None of the above
4.
Which of the following approach should be asked for solving data analysis questions?
a)
Find one solution for particular problem
b)
Find out the question to be answered
c)
Find out answers from dataset without asking questions
d)
All of the above
5.
Raw data should be processed only one time
a)
True
b)
False
6.
What is 'Variational Autoencoder' (VAE)?
a)
A data encryption tool
b)
A type of autoencoder used for data compression
c)
A generative model that uses probabilistic encoders and decoders
d)
A model for visual data only
7.
What is 'BERT' in Generative AI?
a)
A type of neural network for regression analysis
b)
A database management system
c)
A state-of-the-art language representation model
d)
A data visualization tool
8.
What is 'Fine-tuning' in the context of machine learning models?
a)
Adjusting the parameters of a network to improve performance
b)
Reducing the size of a model
c)
ncreasing the speed of model training
d)
Changing the model's architecture
9.
What is Ollama?
a)
A platform for managing data
b)
A tool for running LLMs locally on a computer
c)
A cloud-based image processing service
d)
A text-to-speech engine
10.
What advantage does running an LLM locally using Ollama provide?
a)
Reduced response time
b)
Lower computing cost compared to cloud services
c)
Better scalability for large datasets
d)
Higher accuracy in model predictions
11.
Which LLM can be used with Ollama for tasks like text generation or image captioning?
a)
LLaMA 2
b)
BERT
c)
ResNet
d)
GPT-2
12.
LLMs are trained on large datasets to generate human-like text.
a)
True
b)
False
13.
Ollama requires cloud infrastructure to run LLMs.
a)
True
b)
False
14.
LLaMA is an open-source language model designed by Meta (Facebook).
a)
True
b)
False
15.
Which of the following is a Python library specifically used for natural language processing (NLP)?
a)
Keras
b)
OpenCV
c)
NLTK
d)
PyTorch
16.
None
a)
Matplotlib
b)
NumPy
c)
Scikit-learn
d)
Seaborn
17.
Which of the following is a new AI model optimization technique expected to shape AI in 2024?
a)
Reinforcement Learning from Human Feedback (RLHF)
b)
Quantum Computing
c)
Low Rank Adaptation (LoRA)
d)
GPT-3
18.
Which of the following is NOT a type of machine learning algorithm commonly used in Data Science?
a)
Linear Regression
b)
K-Means Clustering
c)
Decision Trees
d)
Object-Oriented Programming
19.
Which step in the Data Science process involves selecting the appropriate model and algorithm for analysis?
a)
Data Cleaning
b)
Data Visualization
c)
Data Collection
d)
Model Building
20.
Which statistical measure represents the middle value of a dataset when it is sorted in ascending order?
a)
Median
b)
Mode
c)
Standard deviation
d)
Mean
21.
What dies LSTM stand for?
a)
Limited Sequence Time Memory
b)
Linear State Transition Model
c)
Long Short-Term Memory
d)
Latent Sequential Training Mechanism
22.
What is the primary library used for machine learning in Python?
a)
TensorFlow
b)
OpenCV
c)
Scikit-learn
d)
Flask
23.
Which of the following is a supervised learning algorithm?
a)
K-Means Clustering
b)
Decision Trees
c)
Principal Component Analysis
d)
DBSCAN
24.
What does ‘train_test_split’ function in Scikit-learn do?
a)
Normalizes the dataset
b)
Splits the dataset into training and testing sets
c)
Combines datasets
d)
All of the above
25.
Which Python library is widely used for image processing in AI?
a)
Numpy
b)
OpenCV
c)
Pandas
d)
Scikit-learn
26.
Which of the following is a popular activation function used in neural networks?
a)
ReLU
b)
Softmax
c)
Sigmoid
27.
In which scenario would you use unsupervised learning?
a)
Predicting house prices
b)
Grouping similar products together
c)
Identifying fraudulent transactions
d)
Classifying emails as spam or not spam
28.
What is overfitting in machine learning?
a)
The model performs well on training data but poorly on new, unseen data
b)
The model generalizes well to unseen data
c)
The model fits perfectly to all datasets
d)
The model has insufficient training data
29.
Which method is used for optimizing a neural network’s weights?
a)
Backpropagation
b)
Forward propagation
c)
Hyperparameter tuning
d)
Stochastic Gradient Descent (SGD)
30.
Which Python library would you use for natural language processing (NLP)?
a)
TensorFlow
b)
NLTK
c)
OpenCV
d)
Matplotlib
31.
Which type of neural network is most suitable for sequential data such as time series?
a)
Convolutional Neural Network (CNN)
b)
Recurrent Neural Network (RNN)
c)
Feedforward Neural Network (FNN)
d)
Generative Adversarial Network (GAN)
32.
What is Generative AI?
a)
AI that focuses on analyzing data
b)
AI that generates new content or data
c)
AI used for automating repetitive tasks
d)
AI used for data storage
33.
What is a Generative Adversarial Network (GAN)?
a)
A network for data analysis
b)
A type of neural network architecture for generative modeling
c)
A network for fast data processing
d)
A network for data encryption
34.
Which language is more commonly used in data science ?
a)
Java
b)
Ruby
c)
R
d)
None of the above
35.
Which of the following approach should be asked for solving data analysis questions?
a)
Find one solution for particular problem
b)
Find out the question to be answered
c)
Find out answers from dataset without asking questions
d)
All of the above
36.
Raw data should be processed only one time
a)
True
b)
False
37.
What is 'Variational Autoencoder' (VAE)?
a)
A data encryption tool
b)
A type of autoencoder used for data compression
c)
A generative model that uses probabilistic encoders and decoders
d)
A model for visual data only
38.
What is 'BERT' in Generative AI?
a)
A type of neural network for regression analysis
b)
A database management system
c)
A state-of-the-art language representation model
d)
A data visualization tool
39.
What is 'Fine-tuning' in the context of machine learning models?
a)
Adjusting the parameters of a network to improve performance
b)
Reducing the size of a model
c)
ncreasing the speed of model training
d)
Changing the model's architecture
40.
What is Ollama?
a)
A platform for managing data
b)
A tool for running LLMs locally on a computer
c)
A cloud-based image processing service
d)
A text-to-speech engine
41.
What advantage does running an LLM locally using Ollama provide?
a)
Reduced response time
b)
Lower computing cost compared to cloud services
c)
Better scalability for large datasets
d)
Higher accuracy in model predictions
42.
Which LLM can be used with Ollama for tasks like text generation or image captioning?
a)
LLaMA 2
b)
BERT
c)
ResNet
d)
GPT-2
43.
LLMs are trained on large datasets to generate human-like text.
a)
True
b)
False
44.
Ollama requires cloud infrastructure to run LLMs.
a)
True
b)
False
45.
LLaMA is an open-source language model designed by Meta (Facebook).
a)
True
b)
False
46.
Which of the following is a Python library specifically used for natural language processing (NLP)?
a)
Keras
b)
OpenCV
c)
NLTK
d)
PyTorch
47.
None
a)
Matplotlib
b)
NumPy
c)
Scikit-learn
d)
Seaborn
48.
Which of the following is a new AI model optimization technique expected to shape AI in 2024?
a)
Reinforcement Learning from Human Feedback (RLHF)
b)
Quantum Computing
c)
Low Rank Adaptation (LoRA)
d)
GPT-3
49.
Which of the following is NOT a type of machine learning algorithm commonly used in Data Science?
a)
Linear Regression
b)
K-Means Clustering
c)
Decision Trees
d)
Object-Oriented Programming
50.
Which step in the Data Science process involves selecting the appropriate model and algorithm for analysis?
a)
Data Cleaning
b)
Data Visualization
c)
Data Collection
d)
Model Building
51.
Which statistical measure represents the middle value of a dataset when it is sorted in ascending order?
a)
Median
b)
Mode
c)
Standard deviation
d)
Mean
52.
What dies LSTM stand for?
a)
Limited Sequence Time Memory
b)
Linear State Transition Model
c)
Long Short-Term Memory
d)
Latent Sequential Training Mechanism
53.
What is the primary library used for machine learning in Python?
a)
TensorFlow
b)
OpenCV
c)
Scikit-learn
d)
Flask
54.
Which of the following is a supervised learning algorithm?
a)
K-Means Clustering
b)
Decision Trees
c)
Principal Component Analysis
d)
DBSCAN
55.
What does ‘train_test_split’ function in Scikit-learn do?
a)
Normalizes the dataset
b)
Splits the dataset into training and testing sets
c)
Combines datasets
d)
All of the above
56.
Which Python library is widely used for image processing in AI?
a)
Numpy
b)
OpenCV
c)
Pandas
d)
Scikit-learn
57.
Which of the following is a popular activation function used in neural networks?
a)
ReLU
b)
Softmax
c)
Sigmoid
58.
In which scenario would you use unsupervised learning?
a)
Predicting house prices
b)
Grouping similar products together
c)
Identifying fraudulent transactions
d)
Classifying emails as spam or not spam
59.
What is overfitting in machine learning?
a)
The model performs well on training data but poorly on new, unseen data
b)
The model generalizes well to unseen data
c)
The model fits perfectly to all datasets
d)
The model has insufficient training data
60.
Which method is used for optimizing a neural network’s weights?
a)
Backpropagation
b)
Forward propagation
c)
Hyperparameter tuning
d)
Stochastic Gradient Descent (SGD)
61.
Which Python library would you use for natural language processing (NLP)?
a)
TensorFlow
b)
NLTK
c)
OpenCV
d)
Matplotlib
62.
Which type of neural network is most suitable for sequential data such as time series?
a)
Convolutional Neural Network (CNN)
b)
Recurrent Neural Network (RNN)
c)
Feedforward Neural Network (FNN)
d)
Generative Adversarial Network (GAN)
63.
What is Generative AI?
a)
AI that focuses on analyzing data
b)
AI that generates new content or data
c)
AI used for automating repetitive tasks
d)
AI used for data storage
64.
What is a Generative Adversarial Network (GAN)?
a)
A network for data analysis
b)
A type of neural network architecture for generative modeling
c)
A network for fast data processing
d)
A network for data encryption
65.
Which language is more commonly used in data science ?
a)
Java
b)
Ruby
c)
R
d)
None of the above
66.
Which of the following approach should be asked for solving data analysis questions?
a)
Find one solution for particular problem
b)
Find out the question to be answered
c)
Find out answers from dataset without asking questions
d)
All of the above
67.
Raw data should be processed only one time
a)
True
b)
False
68.
What is 'Variational Autoencoder' (VAE)?
a)
A data encryption tool
b)
A type of autoencoder used for data compression
c)
A generative model that uses probabilistic encoders and decoders
d)
A model for visual data only
69.
What is 'BERT' in Generative AI?
a)
A type of neural network for regression analysis
b)
A database management system
c)
A state-of-the-art language representation model
d)
A data visualization tool
70.
What is 'Fine-tuning' in the context of machine learning models?
a)
Adjusting the parameters of a network to improve performance
b)
Reducing the size of a model
c)
ncreasing the speed of model training
d)
Changing the model's architecture
71.
What is Ollama?
a)
A platform for managing data
b)
A tool for running LLMs locally on a computer
c)
A cloud-based image processing service
d)
A text-to-speech engine
72.
What advantage does running an LLM locally using Ollama provide?
a)
Reduced response time
b)
Lower computing cost compared to cloud services
c)
Better scalability for large datasets
d)
Higher accuracy in model predictions
73.
Which LLM can be used with Ollama for tasks like text generation or image captioning?
a)
LLaMA 2
b)
BERT
c)
ResNet
d)
GPT-2
74.
LLMs are trained on large datasets to generate human-like text.
a)
True
b)
False
75.
Ollama requires cloud infrastructure to run LLMs.
a)
True
b)
False
76.
LLaMA is an open-source language model designed by Meta (Facebook).
a)
True
b)
False
77.
Which of the following is a Python library specifically used for natural language processing (NLP)?
a)
Keras
b)
OpenCV
c)
NLTK
d)
PyTorch
78.
None
a)
Matplotlib
b)
NumPy
c)
Scikit-learn
d)
Seaborn
79.
Which of the following is a new AI model optimization technique expected to shape AI in 2024?
a)
Reinforcement Learning from Human Feedback (RLHF)
b)
Quantum Computing
c)
Low Rank Adaptation (LoRA)
d)
GPT-3
80.
Which of the following is NOT a type of machine learning algorithm commonly used in Data Science?
a)
Linear Regression
b)
K-Means Clustering
c)
Decision Trees
d)
Object-Oriented Programming
81.
Which step in the Data Science process involves selecting the appropriate model and algorithm for analysis?
a)
Data Cleaning
b)
Data Visualization
c)
Data Collection
d)
Model Building
82.
Which statistical measure represents the middle value of a dataset when it is sorted in ascending order?
a)
Median
b)
Mode
c)
Standard deviation
d)
Mean
83.
What dies LSTM stand for?
a)
Limited Sequence Time Memory
b)
Linear State Transition Model
c)
Long Short-Term Memory
d)
Latent Sequential Training Mechanism
84.
What is the primary library used for machine learning in Python?
a)
TensorFlow
b)
OpenCV
c)
Scikit-learn
d)
Flask
85.
Which of the following is a supervised learning algorithm?
a)
K-Means Clustering
b)
Decision Trees
c)
Principal Component Analysis
d)
DBSCAN
86.
What does ‘train_test_split’ function in Scikit-learn do?
a)
Normalizes the dataset
b)
Splits the dataset into training and testing sets
c)
Combines datasets
d)
All of the above
87.
Which Python library is widely used for image processing in AI?
a)
Numpy
b)
OpenCV
c)
Pandas
d)
Scikit-learn
88.
Which of the following is a popular activation function used in neural networks?
a)
ReLU
b)
Softmax
c)
Sigmoid
89.
In which scenario would you use unsupervised learning?
a)
Predicting house prices
b)
Grouping similar products together
c)
Identifying fraudulent transactions
d)
Classifying emails as spam or not spam
90.
What is overfitting in machine learning?
a)
The model performs well on training data but poorly on new, unseen data
b)
The model generalizes well to unseen data
c)
The model fits perfectly to all datasets
d)
The model has insufficient training data
91.
Which method is used for optimizing a neural network’s weights?
a)
Backpropagation
b)
Forward propagation
c)
Hyperparameter tuning
d)
Stochastic Gradient Descent (SGD)
92.
Which Python library would you use for natural language processing (NLP)?
a)
TensorFlow
b)
NLTK
c)
OpenCV
d)
Matplotlib
93.
Which type of neural network is most suitable for sequential data such as time series?
a)
Convolutional Neural Network (CNN)
b)
Recurrent Neural Network (RNN)
c)
Feedforward Neural Network (FNN)
d)
Generative Adversarial Network (GAN)
94.
What is Generative AI?
a)
AI that focuses on analyzing data
b)
AI that generates new content or data
c)
AI used for automating repetitive tasks
d)
AI used for data storage
95.
What is a Generative Adversarial Network (GAN)?
a)
A network for data analysis
b)
A type of neural network architecture for generative modeling
c)
A network for fast data processing
d)
A network for data encryption
96.
Which language is more commonly used in data science ?
a)
Java
b)
Ruby
c)
R
d)
None of the above
97.
Which of the following approach should be asked for solving data analysis questions?
a)
Find one solution for particular problem
b)
Find out the question to be answered
c)
Find out answers from dataset without asking questions
d)
All of the above
98.
Raw data should be processed only one time
a)
True
b)
False
99.
What is 'Variational Autoencoder' (VAE)?
a)
A data encryption tool
b)
A type of autoencoder used for data compression
c)
A generative model that uses probabilistic encoders and decoders
d)
A model for visual data only
100.
What is 'BERT' in Generative AI?
a)
A type of neural network for regression analysis
b)
A database management system
c)
A state-of-the-art language representation model
d)
A data visualization tool
101.
What is 'Fine-tuning' in the context of machine learning models?
a)
Adjusting the parameters of a network to improve performance
b)
Reducing the size of a model
c)
ncreasing the speed of model training
d)
Changing the model's architecture
102.
What is Ollama?
a)
A platform for managing data
b)
A tool for running LLMs locally on a computer
c)
A cloud-based image processing service
d)
A text-to-speech engine
103.
What advantage does running an LLM locally using Ollama provide?
a)
Reduced response time
b)
Lower computing cost compared to cloud services
c)
Better scalability for large datasets
d)
Higher accuracy in model predictions
104.
Which LLM can be used with Ollama for tasks like text generation or image captioning?
a)
LLaMA 2
b)
BERT
c)
ResNet
d)
GPT-2
105.
LLMs are trained on large datasets to generate human-like text.
a)
True
b)
False
106.
Ollama requires cloud infrastructure to run LLMs.
a)
True
b)
False
107.
LLaMA is an open-source language model designed by Meta (Facebook).
a)
True
b)
False
108.
Which of the following is a Python library specifically used for natural language processing (NLP)?
a)
Keras
b)
OpenCV
c)
NLTK
d)
PyTorch
109.
None
a)
Matplotlib
b)
NumPy
c)
Scikit-learn
d)
Seaborn
110.
Which of the following is a new AI model optimization technique expected to shape AI in 2024?
a)
Reinforcement Learning from Human Feedback (RLHF)
b)
Quantum Computing
c)
Low Rank Adaptation (LoRA)
d)
GPT-3
111.
Which of the following is NOT a type of machine learning algorithm commonly used in Data Science?
a)
Linear Regression
b)
K-Means Clustering
c)
Decision Trees
d)
Object-Oriented Programming
112.
Which step in the Data Science process involves selecting the appropriate model and algorithm for analysis?
a)
Data Cleaning
b)
Data Visualization
c)
Data Collection
d)
Model Building
113.
Which statistical measure represents the middle value of a dataset when it is sorted in ascending order?
a)
Median
b)
Mode
c)
Standard deviation
d)
Mean
114.
What dies LSTM stand for?
a)
Limited Sequence Time Memory
b)
Linear State Transition Model
c)
Long Short-Term Memory
d)
Latent Sequential Training Mechanism
115.
What is the primary library used for machine learning in Python?
a)
TensorFlow
b)
OpenCV
c)
Scikit-learn
d)
Flask
116.
Which of the following is a supervised learning algorithm?
a)
K-Means Clustering
b)
Decision Trees
c)
Principal Component Analysis
d)
DBSCAN
117.
What does ‘train_test_split’ function in Scikit-learn do?
a)
Normalizes the dataset
b)
Splits the dataset into training and testing sets
c)
Combines datasets
d)
All of the above
118.
Which Python library is widely used for image processing in AI?
a)
Numpy
b)
OpenCV
c)
Pandas
d)
Scikit-learn
119.
Which of the following is a popular activation function used in neural networks?
a)
ReLU
b)
Softmax
c)
Sigmoid
120.
In which scenario would you use unsupervised learning?
a)
Predicting house prices
b)
Grouping similar products together
c)
Identifying fraudulent transactions
d)
Classifying emails as spam or not spam
121.
What is overfitting in machine learning?
a)
The model performs well on training data but poorly on new, unseen data
b)
The model generalizes well to unseen data
c)
The model fits perfectly to all datasets
d)
The model has insufficient training data
122.
Which method is used for optimizing a neural network’s weights?
a)
Backpropagation
b)
Forward propagation
c)
Hyperparameter tuning
d)
Stochastic Gradient Descent (SGD)
123.
Which Python library would you use for natural language processing (NLP)?
a)
TensorFlow
b)
NLTK
c)
OpenCV
d)
Matplotlib
124.
Which type of neural network is most suitable for sequential data such as time series?
a)
Convolutional Neural Network (CNN)
b)
Recurrent Neural Network (RNN)
c)
Feedforward Neural Network (FNN)
d)
Generative Adversarial Network (GAN)
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