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GIAC Machine Learning Engineer Sample Questions (Q146-Q151):

NEW QUESTION # 146
Which techniques can be used to improve the performance of a linear regression model?
(Choose two)
Response:

A. Including interaction terms between variables
B. Adding regularization, such as L1 (Lasso) or L2 (Ridge)
C. Reducing the dataset size
D. Increasing the number of decision trees

Answer: A,B

NEW QUESTION # 147
What is the role of padding in a convolutional layer?
Response:

A. To normalize the inputs
B. To preserve the spatial dimensions of the input data
C. To increase the number of parameters in the model
D. To prevent overfitting

Answer: B

NEW QUESTION # 148
What is the main advantage of using a 'Random Forest' over a 'Decision Tree'?
Response:

A. Faster computation
B. Reduced risk of overfitting
C. Higher flexibility in model tuning
D. Simpler interpretation and understanding

Answer: B

NEW QUESTION # 149
What is the primary goal of supervised learning?
Response:

A. To group similar data points without labeled outputs
B. To learn a function that maps input data to known output labels
C. To identify hidden patterns in data without guidance
D. To cluster data into predefined categories

Answer: B

NEW QUESTION # 150
What is not a typical use case for CNNs in image processing?
Response:

A. Natural language processing
B. Object detection
C. Facial recognition
D. Image classification

Answer: A

NEW QUESTION # 151
......

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