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GIAC Machine Learning Engineer Sample Questions (Q24-Q29):
NEW QUESTION # 24
In the context of deep learning, what is a 'convolutional layer' primarily used for?
Response:
- A. To reduce the size of the neural network
- B. To accelerate the training process of the network
- C. To classify input data into different categories
- D. To extract features from input data like images
Answer: D
NEW QUESTION # 25
Which of the following is commonly used to prevent overfitting in deep neural networks?
Response:
- A. Decreasing the dataset size
- B. Using dropout during training
- C. Increasing the number of hidden layers
- D. Increasing the learning rate
Answer: B
NEW QUESTION # 26
Which of the following are key characteristics of genetic algorithms used in neural network optimization?
(Choose two)
Response:
- A. Fitness evaluation based on a predefined objective
- B. Random initialization of weights
- C. Manual selection of hyperparameters
- D. Evolution through mutation and crossover
Answer: A,D
NEW QUESTION # 27
What is the main advantage of using a 'bagging' approach in ensemble learning?
Response:
- A. To increase the bias in the model
- B. To optimize individual model parameters
- C. To reduce the variance of the model
- D. To enhance the speed of training models
Answer: C
NEW QUESTION # 28
Which techniques are commonly used to evaluate the quality of clustering results?
(Choose two)
Response:
- A. Elbow method
- B. Confusion matrix
- C. Silhouette score
- D. ROC curve
Answer: A,C
NEW QUESTION # 29
......
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