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GIAC Machine Learning Engineer Sample Questions (Q115-Q120):

NEW QUESTION # 115
What does 'data imputation' refer to in data preprocessing?
Response:

A. Transforming categorical data into numerical data
B. Filling in missing or null values in the data
C. Scaling data to a standard range
D. Removing irrelevant features from the dataset

Answer: B

NEW QUESTION # 116
Which techniques can be used to improve the performance of a linear regression model?
(Choose two)
Response:

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

Answer: C,D

NEW QUESTION # 117
What is not a typical use case for CNNs in image processing?
Response:

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

Answer: D

NEW QUESTION # 118
Which of the following best describes standard deviation?
Response:

A. It measures the spread of data points from the mean
B. It represents the most frequent value in a dataset
C. It is the difference between the largest and smallest values
D. It is the average of all the values in the dataset

Answer: A

NEW QUESTION # 119
What is the main challenge in determining the optimal number of clusters for a k-means algorithm?
Response:

A. It increases the computational complexity
B. It needs feature scaling before clustering
C. It requires a predefined number of clusters, which may not reflect the true structure of the data
D. It depends on the amount of training data

Answer: C

NEW QUESTION # 120
......

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