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Posted on: 05/15/25

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GIAC Machine Learning Engineer Sample Questions (Q95-Q100):

NEW QUESTION # 95
Which of the following metrics is commonly used to evaluate the performance of a regression model?
Response:

  • A. Confusion matrix
  • B. Mean Squared Error (MSE)
  • C. F1 score
  • D. Precision

Answer: B


NEW QUESTION # 96
Which of the following is a supervised learning algorithm?
Response:

  • A. Support Vector Machine (SVM)
  • B. Principal Component Analysis (PCA)
  • C. k-means clustering
  • D. Autoencoders

Answer: A


NEW QUESTION # 97
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. Increase the complexity of the network by adding more layers and disabling dropout
  • B. Train the autoencoder solely on anomalous data to improve its accuracy
  • C. Adjust the size of the latent space and apply regularization techniques to reduce overfitting
  • D. Retrain the autoencoder with fewer data points and remove regularization techniques

Answer: C


NEW QUESTION # 98
What is the purpose of a p-value in hypothesis testing?
Response:

  • A. To measure the correlation between variables
  • B. To determine the probability of observing the data given that the null hypothesis is true
  • C. To calculate the mean of a dataset
  • D. To test for multicollinearity

Answer: B


NEW QUESTION # 99
What is the primary benefit of using the 'early stopping' technique in training machine learning models?
Response:

  • A. To optimize the hyperparameters automatically during training
  • B. To speed up the training process by reducing the number of iterations
  • C. To prevent overfitting by stopping the training when performance on a validation set starts to degrade
  • D. To increase the accuracy of the model on the training data

Answer: C


NEW QUESTION # 100
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