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GIAC Machine Learning Engineer Sample Questions:

1. Which algorithm is commonly used for anomaly detection in network traffic?
Response:

A) Linear Regression
B) Autoencoders
C) Naive Bayes
D) Decision Trees

2. You are tasked with collecting data from an external API for use in a machine learning model. After making several requests, you notice that the data contains missing values and inconsistencies across different records. What steps should you take to clean and prepare this data for further analysis and modeling?
Response:

A) Collect additional data from a different source without fixing the original dataset
B) Ignore the inconsistencies and proceed directly to model training
C) Identify and remove records with missing values, apply data normalization techniques, and ensure data consistency before model training
D) Focus on fixing inconsistencies only in the training data, ignoring the test data

3. What is the purpose of a validation set in machine learning?
Response:

A) To prevent overfitting
B) To test the model on unseen data
C) To fine-tune the model's hyperparameters
D) To train the model

4. Which Python library is commonly used for data manipulation and analysis in machine learning?
Response:

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

5. Which statistic is used to measure the relationship between two variables?
Response:

A) Standard deviation
B) Mean
C) Correlation coefficient
D) Median

Solutions: