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GIAC Machine Learning Engineer Sample Questions (Q23-Q28):
NEW QUESTION # 23
Which loss function is typically used for regression problems?
Response:
- A. Hinge loss
- B. Mean Squared Error (MSE)
- C. Cross-entropy loss
- D. Kullback-Leibler divergence
Answer: B
NEW QUESTION # 24
What does 'grid search' refer to in hyperparameter tuning?
Response:
- A. A technique to search exhaustively through a specified subset of hyperparameters
- B. The process of randomly selecting hyperparameters for testing
- C. A method to visualize the performance of different models
- D. A strategy for reducing the number of hyperparameters
Answer: A
NEW QUESTION # 25
In the context of anomaly detection, which is the primary advantage of using autoencoders?
Response:
- A. They are faster to train than traditional algorithms
- B. They reduce the dimensionality of the input data
- C. They can handle both structured and unstructured data
- D. They are capable of detecting complex, non-linear anomalies
Answer: D
NEW QUESTION # 26
What is the Fourier Series used for in data science?
Response:
- A. To break down periodic functions into sums of sine and cosine terms
- B. To calculate the mean of the dataset
- C. To generate random numbers for a model
- D. To determine the probability of an event
Answer: A
NEW QUESTION # 27
Which of the following describes a decision tree in supervised learning?
Response:
- A. A tree-like structure used for clustering data points
- B. A model that makes decisions by splitting data into branches based on feature values
- C. A neural network with multiple hidden layers
- D. An algorithm that groups data points into clusters without labels
Answer: B
NEW QUESTION # 28
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