GMLE PDF FILES - LATEST GMLE EXAM PREPARATION

GMLE Pdf Files - Latest GMLE Exam Preparation

GMLE Pdf Files - Latest GMLE Exam Preparation

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GIAC Machine Learning Engineer Sample Questions (Q69-Q74):

NEW QUESTION # 69
What is not a typical use case for CNNs in image processing?
Response:

  • A. Image classification
  • B. Natural language processing
  • C. Facial recognition
  • D. Object detection

Answer: B


NEW QUESTION # 70
In the context of neural networks, what does 'backpropagation' refer to?
Response:

  • A. The technique of training the network layer by layer
  • B. The strategy for initializing the network's weights
  • C. The method of calculating the gradient of the loss function and updating the weights
  • D. The process of feeding data into the network

Answer: C


NEW QUESTION # 71
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. 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 # 72
When scraping web data for machine learning, which of the following should you consider to ensure data quality?
Response:

  • A. Ensuring data is collected regularly and follows copyright laws
  • B. Scraping only structured data
  • C. Avoiding the use of any API
  • D. Collecting as much data as possible without validation

Answer: A


NEW QUESTION # 73
Which of the following are common applications of Bayes' Theorem in machine learning?
(Choose two)
Response:

  • A. Building decision trees
  • B. Calculating the posterior probability in classification tasks
  • C. Developing recommendation systems
  • D. Creating Naive Bayes classifiers

Answer: B,D


NEW QUESTION # 74
......

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