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GIAC Machine Learning Engineer Sample Questions (Q28-Q33):

NEW QUESTION # 28
What does 'grid search' refer to in hyperparameter tuning?
Response:

A. The process of randomly selecting hyperparameters for testing
B. A technique to search exhaustively through a specified subset of hyperparameters
C. A strategy for reducing the number of hyperparameters
D. A method to visualize the performance of different models

Answer: B

NEW QUESTION # 29
Which techniques can be used to improve the performance of a linear regression model?
(Choose two)
Response:

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

Answer: B,D

NEW QUESTION # 30
What is the difference between simple linear regression and multiple linear regression?
Response:

A. Simple linear regression is used for classification, while multiple linear regression is used for clustering
B. Simple linear regression has one independent variable, while multiple linear regression has two or more independent variables
C. There is no difference between them
D. Simple linear regression uses two dependent variables, while multiple linear regression uses one

Answer: B

NEW QUESTION # 31
Which of the following best describes linear regression?
Response:

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

Answer: B

NEW QUESTION # 32
Which of the following is a key step in data acquisition for machine learning models?
Response:

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

Answer: A

NEW QUESTION # 33
......

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