HOW CAN YOU PASS GIAC GMLE CERTIFICATION EXAM WITH FLYING COLORS?

How Can You Pass GIAC GMLE Certification Exam With Flying Colors?

How Can You Pass GIAC GMLE Certification Exam With Flying Colors?

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Tags: GMLE Latest Exam Camp, GMLE Latest Exam Duration, GMLE Exam Sims, GMLE Real Exam Questions, Simulations GMLE Pdf

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GIAC Machine Learning Engineer Sample Questions (Q33-Q38):

NEW QUESTION # 33
What is a primary goal of data visualization in machine learning?
Response:

  • A. To identify patterns and insights in data
  • B. To reduce the dimensionality of data
  • C. To optimize the model's performance
  • D. To replace the need for statistical analysis

Answer: A


NEW QUESTION # 34
Which algorithm is best suited for handling time-series data?
Response:

  • A. K-Means Clustering
  • B. Decision Trees
  • C. Convolutional Neural Networks
  • D. Recurrent Neural Networks

Answer: D


NEW QUESTION # 35
Which of the following is a data manipulation technique commonly applied to prepare data for machine learning models?
Response:

  • A. Overfitting
  • B. Normalization
  • C. Hyperparameter tuning
  • D. Data augmentation

Answer: B


NEW QUESTION # 36
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. Adjust the size of the latent space and apply regularization techniques to reduce overfitting
  • C. Increase the complexity of the network by adding more layers and disabling dropout
  • D. Retrain the autoencoder with fewer data points and remove regularization techniques

Answer: B


NEW QUESTION # 37
Which of the following are common supervised learning algorithms?
(Choose two)
Response:

  • A. Linear Regression
  • B. DBSCAN
  • C. k-means
  • D. Random Forest

Answer: A,D


NEW QUESTION # 38
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