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GIAC Machine Learning Engineer Sample Questions (Q152-Q157):

NEW QUESTION # 152
What role does 'dropout' play in training deep neural networks?
Response:

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

Answer: B

NEW QUESTION # 153
What is 'natural language processing' (NLP) in the context of machine learning?
Response:

A. A method for improving the accuracy of neural networks
B. The field that focuses on the interaction between computers and human language
C. A technique for training models on time-series data
D. The process of converting text data into numerical data

Answer: B

NEW QUESTION # 154
What role does 'batch size' play in training neural networks?
Response:

A. It determines the maximum number of features used in the model
B. It specifies the number of training examples used in one iteration
C. It sets the total number of training iterations
D. It adjusts the learning rate of the model

Answer: B

NEW QUESTION # 155
In SQL databases, which operation is typically used to join data from multiple tables?
Response:

A. JOIN
B. DROP
C. SELECT
D. INSERT

Answer: A

NEW QUESTION # 156
In a fully connected neural network, what is the primary role of the activation function?
Response:

A. To introduce non-linearity into the model
B. To reduce overfitting
C. To optimize the learning rate
D. To compute the error

Answer: A

NEW QUESTION # 157
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