Question 1 (Beginner):
What is the output of the following Python code?

print("5" * 3)

A) 15
B) 555
C) 5 5 5
D) Error

#Python #Beginner #StringOperations #CodingQuiz #LearnPython

Question 2 (Intermediate):
What is a common use case for the PCA (Principal Component Analysis) algorithm in machine learning?

A) Hyperparameter tuning
B) Data visualization and dimensionality reduction
C) Gradient descent optimization
D) Model ensembling

#MachineLearning #PCA #DimensionalityReduction #MLQuiz #DataScience

Question 3 (Advanced):
In reinforcement learning, what does the term “policy” refer to?

A) The sequence of rewards the agent receives
B) The model’s loss function
C) The strategy used by the agent to decide actions
D) The environment's set of rules

#ReinforcementLearning #AI #DeepRL #PolicyLearning #ML

Question 4 (Beginner):
Which of the following is not a valid Python data type?

A) tuple
B) map
C) set
D) float

#Python #DataTypes #Beginner #ProgrammingQuiz #LearnPython

Question 5 (Intermediate):
In a neural network, what does the ReLU activation function return?

A) 1 / (1 + e^-x)
B) max(0, x)
C) x^2
D) e^x / (e^x + 1)

#NeuralNetworks #DeepLearning #ActivationFunctions #ReLU #AI

Question 6 (Advanced):
Which of the following attention mechanisms is used in transformers?

A) Hard Attention
B) Additive Attention
C) Self-Attention
D) Bahdanau Attention

#Transformers #NLP #DeepLearning #AttentionMechanism #AI

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Question 1 (Intermediate):
In Python, which of these is the correct way to create a virtual environment?

A) python create venv
B) python -m venv myenv
C) pip install virtualenv
D) conda make env

#Python #Development #VirtualEnv #Coding

Question 2 (Advanced):
In machine learning with Python, what does the random_state parameter do in scikit-learn's train_test_split() function?

A) Controls the shuffling applied to the data before splitting
B) Sets the percentage of data to use for testing
C) Determines the number of CPU cores to use
D) Specifies the type of ML algorithm to apply

#Python #MachineLearning #ScikitLearn #DataScience

Question 3 (Expert):
In Python's asyncio, what is the purpose of the gather() function?

A) To collect garbage from memory
B) To run multiple awaitables concurrently and wait for all to finish
C) To gather system resources for a task
D) To aggregate results from multiple threads

#Python #AsyncIO #Concurrency #AdvancedProgramming

Question 4 (Intermediate):
When working with Pandas in Python, what does the inplace=True parameter do in DataFrame operations?

A) Creates a copy of the DataFrame before applying changes
B) Modifies the original DataFrame directly
C) Saves the results to a CSV file automatically
D) Enables parallel processing for faster execution

#Python #Pandas #DataAnalysis #DataManipulation

Question 5 (Beginner):
What is the correct way to check if a key exists in a Python dictionary?

A) if key in dict.keys()
B) if dict.has_key(key)
C) if key.exists(dict)
D) if key in dict

#Python #Programming #DataStructures #Beginner

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Question 6 (Advanced):
In Python's context managers, what is the purpose of the __enter__ and __exit__ methods?

A) Memory allocation and garbage collection
B) Database connection pooling
C) Resource initialization and cleanup
D) Thread synchronization

#Python #ContextManagers #ResourceManagement #Advanced

Question 7 (Intermediate):
What does the @property decorator do in Python?

A) Converts a method into a read-only attribute
B) Marks a function as a class method
C) Enforces type checking on variables
D) Makes a method private

#Python #OOP #Decorators #Intermediate

✅ By: https://t.iss.one/DataScienceQ

Question 8 (Advanced):
What is the time complexity of checking if an element exists in a Python set?

A) O(1)
B) O(n)
C) O(log n)
D) O(n^2)

#Python #DataStructures #TimeComplexity #Advanced

✅ By: https://t.iss.one/DataScienceQ

Question 9 (Intermediate):
In SciPy, which function is used to solve ordinary differential equations (ODEs)?

A) scipy.optimize.minimize()
B) scipy.integrate.solve_ivp()
C) scipy.signal.lfilter()
D) scipy.linalg.solve()

#Python #SciPy #NumericalMethods #ODEs

✅ By: https://t.iss.one/DataScienceQ

Question 10 (Advanced):
In the Transformer architecture (PyTorch), what is the purpose of masked multi-head attention in the decoder?

A) To prevent the model from peeking at future tokens during training
B) To reduce GPU memory usage
C) To handle variable-length input sequences
D) To normalize gradient updates

#Python #Transformers #DeepLearning #NLP #AI

✅ By: https://t.iss.one/DataScienceQ

Question 11 (Expert):
In Vision Transformers (ViT), how are image patches typically converted into input tokens for the transformer encoder?

A) Raw pixel values are used directly
B) Each patch is flattened and linearly projected
C) Patches are processed through a CNN first
D) Edge detection is applied before projection

#Python #ViT #ComputerVision #DeepLearning #Transformers

✅ By: https://t.iss.one/DataScienceQ

Question 12 (Intermediate):
What is the key difference between @classmethod and @staticmethod in Python OOP?

A) Classmethods can modify class state, staticmethods can't
B) Staticmethods are inherited, classmethods aren't
C) Classmethods receive implicit first argument (cls), staticmethods receive no special first argument
D) Classmethods are faster to execute

#Python #OOP #ClassMethod #StaticMethod

✅ By: https://t.iss.one/DataScienceQ