更新された2025年03月19日 GMLE試験問題集でPDF問題とテストエンジン
最新（2025)GIAC GMLE試験問題集
質問 # 77
Stochastic Gradient Descent differs from traditional Gradient Descent by:
Response:
- A. Updating model parameters after evaluating the entire dataset
- B. Using a fixed learning rate throughout the training process
- C. Updating model parameters after evaluating each data point
- D. Eliminating the need for a learning rate
正解：C
質問 # 78
You have a large dataset stored as a CSV file, and you want to load, clean, and prepare it for a machine learning model using Python. What steps should you take using Pandas to clean the data and remove any rows with missing values?
Response:
- A. Use the pd.read_csv() function to load the data, followed by the dropna() function to remove rows with missing values, and the describe() function to get summary statistics for further analysis
- B. Use np.load() to load the data and ignore any missing values
- C. Visualize the missing values with Matplotlib before cleaning the data
- D. Load the data with pd.read_csv() and manually remove missing values from the file
正解：A
質問 # 79
Which of the following is a data manipulation technique commonly applied to prepare data for machine learning models?
Response:
- A. Data augmentation
- B. Hyperparameter tuning
- C. Overfitting
- D. Normalization
正解：D
質問 # 80
In the context of anomaly detection, which is the primary advantage of using autoencoders?
Response:
- A. They reduce the dimensionality of the input data
- B. They are capable of detecting complex, non-linear anomalies
- C. They can handle both structured and unstructured data
- D. They are faster to train than traditional algorithms
正解：B
質問 # 81
Which algorithm is best suited for handling time-series data?
Response:
- A. Convolutional Neural Networks
- B. K-Means Clustering
- C. Decision Trees
- D. Recurrent Neural Networks
正解：D
質問 # 82
Which of the following metrics is commonly used to evaluate the performance of a regression model?
Response:
- A. Confusion matrix
- B. F1 score
- C. Precision
- D. Mean Squared Error (MSE)
正解：D
質問 # 83
What is the main purpose of the latent space in an autoencoder?
Response:
- A. To classify anomalies directly
- B. To generate labels for the dataset
- C. To store weights for model training
- D. To serve as a compressed representation of the input data
正解：D
質問 # 84
What role does 'dropout' play in training deep neural networks?
Response:
- A. It accelerates the training process
- B. It helps prevent overfitting by randomly dropping units during training
- C. It increases the accuracy of the model on the training data
- D. It introduces non-linearity into the model
正解：B
質問 # 85
Why is feature scaling important in machine learning?
Response:
- A. It ensures that different features contribute equally to the model training
- B. It increases the number of features
- C. It helps in handling missing data
- D. It makes the model training process faster
正解：A
質問 # 86
What does the term 'reinforcement learning' refer to in machine learning?
Response:
- A. A type of unsupervised learning
- B. A learning technique where an agent learns to make decisions by taking actions in an environment to achieve some reward
- C. The method of combining multiple models to improve performance
- D. The process of training neural networks with backpropagation
正解：B
質問 # 87
Which Python library is most commonly used for data manipulation in machine learning?
Response:
- A. Matplotlib
- B. Pandas
- C. TensorFlow
- D. Scikit-learn
正解：B
質問 # 88
What does 'grid search' refer to in hyperparameter tuning?
Response:
- A. A strategy for reducing the number of hyperparameters
- B. The process of randomly selecting hyperparameters for testing
- C. A method to visualize the performance of different models
- D. A technique to search exhaustively through a specified subset of hyperparameters
正解：D
質問 # 89
Which of the following are common activation functions used in neural networks?
(Choose two)
Response:
- A. Weight initialization
- B. Batch normalization
- C. ReLU (Rectified Linear Unit)
- D. Sigmoid function
正解：C、D
質問 # 90
What is the purpose of inferential statistics in machine learning?
Response:
- A. To describe the basic features of data
- B. To visualize complex datasets
- C. To make predictions about a population based on a sample
- D. To classify data into different categories
正解：C
質問 # 91
In SQL databases, which operation is typically used to join data from multiple tables?
Response:
- A. JOIN
- B. DROP
- C. INSERT
- D. SELECT
正解：A
質問 # 92
In the context of neural networks, what does 'backpropagation' refer to?
Response:
- A. The strategy for initializing the network's weights
- B. The process of feeding data into the network
- C. The technique of training the network layer by layer
- D. The method of calculating the gradient of the loss function and updating the weights
正解：D
質問 # 93
Your cybersecurity team is tasked with detecting anomalies in network traffic that may indicate malicious activity. You decide to use an autoencoder for this task. After training the autoencoder on normal network traffic data, you notice that it is not accurately detecting anomalies.
What are the next steps you should take to improve the performance of the autoencoder?
Response:
- A. Train the autoencoder solely on anomalous data to improve its accuracy
- B. Increase the complexity of the network by adding more layers and disabling dropout
- C. Retrain the autoencoder with fewer data points and remove regularization techniques
- D. Adjust the size of the latent space and apply regularization techniques to reduce overfitting
正解：D
質問 # 94
Which of the following statements about frequency distribution is correct?
Response:
- A. It measures the median of the dataset
- B. It displays how frequently different values occur in a dataset
- C. It provides a method to reduce dimensionality
- D. It predicts future data points based on historical data
正解：B
質問 # 95
What is the main purpose of the 'relu' activation function in neural networks?
Response:
- A. To introduce non-linearity into the model
- B. To speed up the training process
- C. To normalize input data
- D. To prevent overfitting
正解：A
質問 # 96
In the context of deep learning, what is a 'convolutional layer' primarily used for?
Response:
- A. To extract features from input data like images
- B. To accelerate the training process of the network
- C. To reduce the size of the neural network
- D. To classify input data into different categories
正解：A
質問 # 97
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