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GIAC Machine Learning Engineer Sample Questions:

1. What is the difference between simple linear regression and multiple linear regression?
Response:

A) Simple linear regression is used for classification, while multiple linear regression is used for clustering
B) There is no difference between them
C) Simple linear regression has one independent variable, while multiple linear regression has two or more independent variables
D) Simple linear regression uses two dependent variables, while multiple linear regression uses one

2. Which of the following are key characteristics of genetic algorithms used in neural network optimization?
(Choose two)
Response:

A) Evolution through mutation and crossover
B) Fitness evaluation based on a predefined objective
C) Random initialization of weights
D) Manual selection of hyperparameters

3. Which activation function is typically used in the output layer of a neural network for binary classification?
Response:

A) Softmax
B) Sigmoid
C) Tanh
D) ReLU

4. What is the purpose of a p-value in hypothesis testing?
Response:

A) To test for multicollinearity
B) To measure the correlation between variables
C) To determine the probability of observing the data given that the null hypothesis is true
D) To calculate the mean of a dataset

5. What is the scikit-learn library in Python best used for?
Response:

A) Advanced data visualization
B) Machine learning model development
C) Large-scale data processing
D) High-performance computing

Solutions: