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GIAC Machine Learning Engineer Sample Questions (Q44-Q49):
NEW QUESTION # 44
Which of the following are key characteristics of genetic algorithms used in neural network optimization?
(Choose two)
Response:
- A. Random initialization of weights
- B. Evolution through mutation and crossover
- C. Manual selection of hyperparameters
- D. Fitness evaluation based on a predefined objective
Answer: B,D
NEW QUESTION # 45
In machine learning, what does 'pruning' a decision tree involve?
Response:
- A. Increasing the depth of the tree
- B. Removing branches to reduce complexity and overfitting
- C. Splitting the tree into multiple smaller trees
- D. Adding more branches to the tree
Answer: B
NEW QUESTION # 46
Which techniques can be used to improve the performance of a linear regression model?
(Choose two)
Response:
- A. Adding regularization, such as L1 (Lasso) or L2 (Ridge)
- B. Including interaction terms between variables
- C. Reducing the dataset size
- D. Increasing the number of decision trees
Answer: A,B
NEW QUESTION # 47
In machine learning, what does 'ensemble learning' refer to?
Response:
- A. Reducing the dimensionality of the input data
- B. Combining multiple learning algorithms to improve performance
- C. Implementing deep learning models
- D. Using a single algorithm to train models
Answer: B
NEW QUESTION # 48
Which of the following are important considerations when acquiring data from SQL databases?
(Choose two)
Response:
- A. Ensuring data integrity by maintaining relationships between tables
- B. Ignoring null values to prevent any potential issues
- C. Using raw, unvalidated data for better model accuracy
- D. Optimizing queries to handle large datasets efficiently
Answer: A,D
NEW QUESTION # 49
......
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