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GIAC Machine Learning Engineer Sample Questions:

1. In a regression model, what is the purpose of the error term?
Response:

A) To classify new data points
B) To calculate the probability of an event
C) To represent the difference between the observed and predicted values
D) To measure the accuracy of a decision tree

2. In the context of anomaly detection, which is the primary advantage of using autoencoders?
Response:

A) They reduce the dimensionality of the input data
B) They are faster to train than traditional algorithms
C) They are capable of detecting complex, non-linear anomalies
D) They can handle both structured and unstructured data

3. Which Python libraries are commonly used for visualizing data in machine learning?
(Choose two)
Response:

A) Seaborn
B) Pandas
C) TensorFlow
D) Matplotlib

4. What does 'root mean squared error' (RMSE) measure in regression models?
Response:

A) The average of the absolute errors
B) The square root of the average of squared differences between prediction and actual observa
C) The standard deviation of the residuals
D) The variance explained by the model

5. Which strategies can be applied to improve the anomaly detection performance of an autoencoder?
(Choose two)
Response:

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

Solutions: