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GIAC Machine Learning Engineer Sample Questions (Q86-Q91):

NEW QUESTION # 86
Which of the following are common supervised learning algorithms?
(Choose two)
Response:

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

Answer: C,D

NEW QUESTION # 87
What is not a typical use case for CNNs in image processing?
Response:

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

Answer: A

NEW QUESTION # 88
Which strategies can be applied to improve the anomaly detection performance of an autoencoder?
(Choose two)
Response:

A. Train the autoencoder on both normal and anomalous data
B. Increase the size of the latent space
C. Reduce the number of hidden layers
D. Add regularization techniques such as L1 or L2

Answer: A,D

NEW QUESTION # 89
In the context of random forests, what is bagging?
Response:

A. A technique that reduces overfitting by using a combination of decision trees trained on different subsets of the data
B. A method used to select the best hyperparameters for a model
C. A process that reduces the dimensionality of the dataset
D. A clustering algorithm that groups similar data points

Answer: A

NEW QUESTION # 90
What is Principal Component Analysis (PCA) a technique used for in unsupervised learning?
Response:

A. Predicting future trends in data
B. Reducing the dimensionality of data
C. Clustering similar data points
D. Improving the accuracy of classification models

Answer: B

NEW QUESTION # 91
......

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