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GIAC Machine Learning Engineer Sample Questions (Q139-Q144):

NEW QUESTION # 139
Which of the following are common applications of Bayes' Theorem in machine learning?
(Choose two)
Response:

A. Building decision trees
B. Developing recommendation systems
C. Creating Naive Bayes classifiers
D. Calculating the posterior probability in classification tasks

Answer: C,D

NEW QUESTION # 140
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

Answer: C

NEW QUESTION # 141
Which of the following are common applications of regression models?
(Choose two)
Response:

A. Classifying spam emails
B. Clustering customer segments
C. Forecasting sales trends over time
D. Predicting house prices based on various features

Answer: C,D

NEW QUESTION # 142
What role does 'dropout' play in training deep neural networks?
Response:

A. It introduces non-linearity into the model
B. It accelerates the training process
C. It increases the accuracy of the model on the training data
D. It helps prevent overfitting by randomly dropping units during training

Answer: D

NEW QUESTION # 143
What does the term 'epoch' refer to in the context of training a deep learning model?
Response:

A. The final phase of model training
B. The process of tuning hyperparameters
C. The initial phase of model training
D. A single iteration over the entire dataset

Answer: D

NEW QUESTION # 144
......

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