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GIAC Machine Learning Engineer Sample Questions (Q130-Q135):
NEW QUESTION # 130
What is the purpose of a p-value in hypothesis testing?
Response:
- A. To calculate the mean of a dataset
- B. To test for multicollinearity
- C. To determine the probability of observing the data given that the null hypothesis is true
- D. To measure the correlation between variables
Answer: C
NEW QUESTION # 131
In deep learning, 'dropout' is a technique used to:
Response:
- A. Reduce data dimensionality
- B. Speed up computations
- C. Prevent overfitting
- D. Increase model accuracy
Answer: C
NEW QUESTION # 132
Which of the following is a supervised learning algorithm?
Response:
- A. Autoencoders
- B. Support Vector Machine (SVM)
- C. k-means clustering
- D. Principal Component Analysis (PCA)
Answer: B
NEW QUESTION # 133
In deep learning, what is a 'neural network layer'?
Response:
- A. The final output of the neural network
- B. A set of algorithms for optimizing the model
- C. The initial input data for the neural network
- D. A collection of neurons that process a set of input data
Answer: D
NEW QUESTION # 134
Unsupervised learning is primarily used for:
Response:
- A. Classification tasks with predefined categories
- B. Regression analysis with continuous output
- C. Finding hidden patterns in unlabeled data
- D. Predicting outcomes based on labeled data
Answer: C
NEW QUESTION # 135
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