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GIAC Machine Learning Engineer Sample Questions (Q58-Q63):

NEW QUESTION # 58
You are tasked with clustering a large dataset of customer transactions to identify patterns of behavior. You have chosen k-means clustering but are unsure of the optimal number of clusters to use. What steps should you take to determine the optimal number of clusters and ensure high-quality clustering?
Response:

A. Use the elbow method to plot the within-cluster sum of squares and determine the point where the improvement diminishes, and use the silhouette score to evaluate cluster cohesion
B. Start with a large number of clusters and manually reduce them over time
C. Use hierarchical clustering to identify clusters and apply the same number to k-means
D. Randomly select the number of clusters and observe the clustering performance

Answer: A

NEW QUESTION # 59
In the context of machine learning, what is a 'loss function' used for?
Response:

A. To evaluate the performance of the model
B. To reduce the memory usage of the model
C. To select the most important features of the data
D. To increase the speed of training

Answer: A

NEW QUESTION # 60
What is the main purpose of the latent space in an autoencoder?
Response:

A. To classify anomalies directly
B. To serve as a compressed representation of the input data
C. To store weights for model training
D. To generate labels for the dataset

Answer: B

NEW QUESTION # 61
Which of the following are common applications of regression models?
(Choose two)
Response:

A. Forecasting sales trends over time
B. Clustering customer segments
C. Predicting house prices based on various features
D. Classifying spam emails

Answer: A,C

NEW QUESTION # 62
What role does 'dropout' play in training deep neural networks?
Response:

A. It accelerates the training process
B. It helps prevent overfitting by randomly dropping units during training
C. It introduces non-linearity into the model
D. It increases the accuracy of the model on the training data

Answer: B

NEW QUESTION # 63
......

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Zack Brown Zack Brown

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