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GIAC Machine Learning Engineer Sample Questions:

1. What is a key step in preprocessing data for machine learning?
Response:

A) Simplifying the model architecture
B) Normalizing or standardizing the data
C) Selecting a suitable machine learning algorithm
D) Increasing the size of the dataset artificially

2. Which of the following are important when using standard deviation to understand data spread?
(Choose two)
Response:

A) A large standard deviation means that data points are more spread out
B) Standard deviation can only be used for categorical data
C) A small standard deviation means that data points are close to the mean
D) Standard deviation is not influenced by outliers

3. In a regression model, the mean squared error (MSE) loss function measures:
Response:

A) The average of the squares of the differences between actual and predicted values
B) The average of absolute errors
C) The proportion of variance explained by the model
D) The total sum of squared residuals

4. Which of the following describes a decision tree in supervised learning?
Response:

A) A tree-like structure used for clustering data points
B) A neural network with multiple hidden layers
C) A model that makes decisions by splitting data into branches based on feature values
D) An algorithm that groups data points into clusters without labels

5. What is the Fourier Series used for in data science?
Response:

A) To calculate the mean of the dataset
B) To determine the probability of an event
C) To break down periodic functions into sums of sine and cosine terms
D) To generate random numbers for a model

Solutions: