GIAC GMLE DUMPS COST | TEST GMLE CENTRES

GIAC GMLE Dumps Cost | Test GMLE Centres

GIAC GMLE Dumps Cost | Test GMLE Centres

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Tags: GMLE Dumps Cost, Test GMLE Centres, New GMLE Braindumps Files, Customized GMLE Lab Simulation, Test GMLE Discount Voucher

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GIAC Machine Learning Engineer Sample Questions (Q46-Q51):

NEW QUESTION # 46
What is the purpose of the backpropagation algorithm in neural networks?
Response:

  • A. To update the model parameters based on the error gradient
  • B. To generate the final predictions from the model
  • C. To prevent overfitting in the model
  • D. To initialize weights and biases

Answer: A


NEW QUESTION # 47
Which of the following best describes standard deviation?
Response:

  • A. It measures the spread of data points from the mean
  • B. It represents the most frequent value in a dataset
  • C. It is the average of all the values in the dataset
  • D. It is the difference between the largest and smallest values

Answer: A


NEW QUESTION # 48
You are building a multiple linear regression model to predict employee salaries based on years of experience, education level, and performance ratings. After training the model, you notice that it is overfitting the training data.
What techniques should you use to reduce overfitting and improve the model's generalization?
Response:

  • A. Apply L2 regularization (Ridge), reduce the complexity of the model, and increase the size of the training dataset
  • B. Focus only on the most recent data and ignore the training set
  • C. Increase the number of features and training epochs
  • D. Remove regularization and increase the number of training samples

Answer: A


NEW QUESTION # 49
Which of the following are common applications of Bayes' Theorem in machine learning?
(Choose two)
Response:

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

Answer: B,D


NEW QUESTION # 50
Which of the following is a key step in data acquisition for machine learning models?
Response:

  • A. Data cleaning
  • B. Model deployment
  • C. Hyperparameter tuning
  • D. Model evaluation

Answer: A


NEW QUESTION # 51
......

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