2025 GIAC GMLE–HIGH-QUALITY LATEST EXAM GUIDE

2025 GIAC GMLE–High-quality Latest Exam Guide

2025 GIAC GMLE–High-quality Latest Exam Guide

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Tags: Latest GMLE Exam Guide, GMLE Reliable Study Plan, New Study GMLE Questions, GMLE Prep Guide, Pdf GMLE Files

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GIAC Machine Learning Engineer Sample Questions (Q12-Q17):

NEW QUESTION # 12
In machine learning, what is 'bias-variance tradeoff'?
Response:

  • A. The tradeoff between the learning rate and the number of epochs
  • B. The relationship between the model's complexity and its performance on unseen data
  • C. The compromise between the model's ability to generalize and its accuracy on training data
  • D. The balance between the number of features and the size of the dataset

Answer: C


NEW QUESTION # 13
Which of the following are common applications of regression models?
(Choose two)
Response:

  • A. Clustering customer segments
  • B. Classifying spam emails
  • C. Forecasting sales trends over time
  • D. Predicting house prices based on various features

Answer: C,D


NEW QUESTION # 14
In the context of machine learning, what is 'overfitting'?
Response:

  • A. A situation where the model is too simple to capture the complexity of the data
  • B. A condition where the model performs well on the training data but poorly on new, unseen data
  • C. The use of too many features in the model
  • D. The process of training a model with insufficient data

Answer: B


NEW QUESTION # 15
You are analyzing the performance of machine learning models by comparing their error rates. After calculating the mean and standard deviation of the errors for each model, you notice that one model has a high standard deviation compared to the others.
What does this suggest about the model's performance, and what steps can you take to improve it?
Response:

  • A. Increase the dataset size without making any changes to the model
  • B. The high standard deviation suggests that the model's errors are inconsistent; you should apply regularization or tune hyperparameters to reduce variability
  • C. The mean error is sufficient to evaluate performance, and standard deviation can be ignored
  • D. The model's performance is optimal, and no changes are needed

Answer: B


NEW QUESTION # 16
Unsupervised learning is primarily used for:
Response:

  • A. Classification tasks with predefined categories
  • B. Finding hidden patterns in unlabeled data
  • C. Regression analysis with continuous output
  • D. Predicting outcomes based on labeled data

Answer: B


NEW QUESTION # 17
......

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