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GIAC Machine Learning Engineer Sample Questions (Q106-Q111):
NEW QUESTION # 106
What is Principal Component Analysis (PCA) a technique used for in unsupervised learning?
Response:
- A. Predicting future trends in data
- B. Improving the accuracy of classification models
- C. Clustering similar data points
- D. Reducing the dimensionality of data
Answer: D
NEW QUESTION # 107
What does the term 'epoch' refer to in the context of training a deep learning model?
Response:
- A. A single iteration over the entire dataset
- B. The initial phase of model training
- C. The final phase of model training
- D. The process of tuning hyperparameters
Answer: A
NEW QUESTION # 108
What is the Fourier Series used for in data science?
Response:
- A. To calculate the mean of the dataset
- B. To break down periodic functions into sums of sine and cosine terms
- C. To determine the probability of an event
- D. To generate random numbers for a model
Answer: B
NEW QUESTION # 109
What is the purpose of 'regularization' in machine learning models?
Response:
- A. To enhance the visualization of the model's performance
- B. To increase the number of features in the model
- C. To add constraints to the model to reduce overfitting
- D. To speed up the training process
Answer: C
NEW QUESTION # 110
What does 'data imputation' refer to in data preprocessing?
Response:
- A. Scaling data to a standard range
- B. Filling in missing or null values in the data
- C. Removing irrelevant features from the dataset
- D. Transforming categorical data into numerical data
Answer: B
NEW QUESTION # 111
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