WITH OUR INFORMATION-PACKED PDF, PREPARE FOR GIAC GMLE EXAM QUESTIONS

With Our Information-Packed PDF, Prepare for GIAC GMLE Exam Questions

With Our Information-Packed PDF, Prepare for GIAC GMLE Exam Questions

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GIAC Machine Learning Engineer Sample Questions (Q89-Q94):

NEW QUESTION # 89
Which of the following is a key advantage of Convolutional Neural Networks (CNNs) in image classification?
Response:

  • A. They are easy to interpret
  • B. They reduce the need for feature engineering by learning features automatically from images
  • C. They work best with time-series data
  • D. They perform well with structured data

Answer: B


NEW QUESTION # 90
What is the primary benefit of using the 'early stopping' technique in training machine learning models?
Response:

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

Answer: D


NEW QUESTION # 91
The 'Pandas' library in Python is primarily used for:
Response:

  • A. Implementing reinforcement learning algorithms
  • B. Real-time data streaming
  • C. Building neural network models
  • D. Data manipulation and analysis

Answer: D


NEW QUESTION # 92
Which of the following are characteristics of hierarchical clustering?
(Choose two)
Response:

  • A. It can be either agglomerative or divisive
  • B. It scales better for large datasets compared to k-means
  • C. It creates a tree-like structure of nested clusters
  • D. It requires specifying the number of clusters in advance

Answer: A,C


NEW QUESTION # 93
What does the term 'reinforcement learning' refer to in machine learning?
Response:

  • A. The process of training neural networks with backpropagation
  • B. A type of unsupervised learning
  • C. A learning technique where an agent learns to make decisions by taking actions in an environment to achieve some reward
  • D. The method of combining multiple models to improve performance

Answer: C


NEW QUESTION # 94
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