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Exam Code:GMLE
Exam Name:GIAC Machine Learning Engineer
Certification Provider:GIAC
Free Question Number:66
Version:v2025-05-26
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Exam Question List
Question 1: Which of the following are important considerations when acq...
Question 2: You are working on a classification problem where you are us...
Question 3: Which techniques are commonly used to evaluate the quality o...
Question 4: Which Python library is commonly used for data manipulation ...
Question 5: What is the main purpose of the 'softmax' function in neural...
Question 6: What does 'gradient boosting' refer to in ensemble learning?...
Question 7: Which of the following is a key feature of TensorFlow in mac...
Question 8: Why is feature scaling important in machine learning? Respon...
Question 9: Which of the following is a supervised learning algorithm co...
Question 10: What is the t-test a statistical method used for in machine ...
Question 11: What is the main purpose of the matplotlib library in Python...
Question 12: What is the Fourier Series used for in data science? Respons...
Question 13: What is the main challenge in determining the optimal number...
Question 14: What is the primary challenge addressed by 'class imbalance'...
Question 15: In machine learning, what is 'model validation'? Response:...
Question 16: What is the main goal of cluster analysis in unsupervised le...
Question 17: What is not a typical use case for CNNs in image processing?...
Question 18: What is the main purpose of the latent space in an autoencod...
Question 19: What are correlation matrices useful for in data exploration...
Question 20: Which of the following statements about frequency distributi...
Question 21: What is Random Forest an example of? Response:...
Question 22: Which of the following is a commonly used algorithm for clus...
Question 23: In machine learning, what is the primary goal of optimizatio...
Question 24: What is the primary goal of supervised learning? Response:...
Question 25: Which of the following are common supervised learning algori...
Question 26: Which Python function from the Pandas library is used to loa...
Question 27: In a regression model, what is the purpose of the error term...
Question 28: Which two types of probabilities are essential in machine le...
Question 29: What is a primary goal of data visualization in machine lear...
Question 30: Which functions are typically used for data manipulation in ...
Question 31: In machine learning, which of the following is an example of...
Question 32: In the context of deep learning, what is a 'convolutional la...
Question 33: In CNNs, what is the purpose of pooling layers? Response:...
Question 34: When scraping web data for machine learning, which of the fo...
Question 35: What is the difference between simple linear regression and ...
Question 36: What is the purpose of the backpropagation algorithm in neur...
Question 37: Which machine learning technique is commonly used for detect...
Question 38: In machine learning, what is 'dimensionality reduction' used...
Question 39: In machine learning, what is 'data normalization'? Response:...
Question 40: Which of the following describes a decision tree in supervis...
Question 41: What is a key step in preprocessing data for machine learnin...
Question 42: What is the main use of the NumPy library in Python for mach...
Question 43: Which of the following metrics is commonly used to evaluate ...
Question 44: In machine learning, what does 'model generalization' mean? ...
Question 45: Which of the following is a supervised learning algorithm? R...
Question 46: What is the primary function of NumPy in machine learning wo...
Question 47: What is the purpose of a p-value in hypothesis testing? Resp...
Question 48: What is the scikit-learn library in Python best used for? Re...
Question 49: Which is not a typical use case for CNNs? Response:...
Question 50: Which techniques can be used to improve the performance of a...
Question 51: Overfitting in supervised learning models refers to: Respons...
Question 52: What is the main purpose of the 'relu' activation function i...
Question 53: Which algorithm is commonly used for anomaly detection in ne...
Question 54: What is the purpose of inferential statistics in machine lea...
Question 55: Your cybersecurity team is tasked with detecting anomalies i...
Question 56: The term 'convolution' in CNNs refers to: Response:...
Question 57: What does Bayes' Theorem provide in the context of machine l...
Question 58: Which of the following functions is used to calculate loss i...
Question 59: In the context of neural networks, what does 'backpropagatio...
Question 60: Which of the following are common applications of Bayes' The...
Question 61: Which techniques can help prevent overfitting in Convolution...
Question 62: What is Principal Component Analysis (PCA) a technique used ...
Question 63: Which of the following is a key advantage of Convolutional N...
Question 64: Which of the following is the median of the dataset {3, 7, 9...
Question 65: In machine learning, what does 'pruning' a decision tree inv...
Question 66: What refers to models capturing noise in the training data a...