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GIAC Machine Learning Engineer Sample Questions:

1. What is Principal Component Analysis (PCA) a technique used for in unsupervised learning?
Response:

A) Clustering similar data points
B) Improving the accuracy of classification models
C) Predicting future trends in data
D) Reducing the dimensionality of data

2. Which of the following is a key step in data acquisition for machine learning models?
Response:

A) Hyperparameter tuning
B) Data cleaning
C) Model evaluation
D) Model deployment

3. In the context of machine learning, what is a 'loss function' used for?
Response:

A) To reduce the memory usage of the model
B) To select the most important features of the data
C) To evaluate the performance of the model
D) To increase the speed of training

4. Which of the following best describes linear regression?
Response:

A) A neural network technique
B) A method for classifying data into categories
C) A technique for predicting a continuous target variable based on input features
D) A clustering algorithm

5. In CNNs, what is the purpose of pooling layers?
Response:

A) To increase the depth of the network
B) To directly classify images
C) To increase the network's sensitivity to noise
D) To reduce the spatial size of the representation

Solutions: