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GIAC Machine Learning Engineer Sample Questions:

1. Which of the following are common activation functions used in neural networks?
(Choose two)
Response:

A) ReLU (Rectified Linear Unit)
B) Batch normalization
C) Sigmoid function
D) Weight initialization

2. You have a large dataset stored as a CSV file, and you want to load, clean, and prepare it for a machine learning model using Python. What steps should you take using Pandas to clean the data and remove any rows with missing values?
Response:

A) Visualize the missing values with Matplotlib before cleaning the data
B) Use the pd.read_csv() function to load the data, followed by the dropna() function to remove rows with missing values, and the describe() function to get summary statistics for further analysis
C) Use np.load() to load the data and ignore any missing values
D) Load the data with pd.read_csv() and manually remove missing values from the file

3. Which of the following describes a decision tree in supervised learning?
Response:

A) An algorithm that groups data points into clusters without labels
B) A neural network with multiple hidden layers
C) A model that makes decisions by splitting data into branches based on feature values
D) A tree-like structure used for clustering data points

4. What role does 'batch size' play in training neural networks?
Response:

A) It sets the total number of training iterations
B) It determines the maximum number of features used in the model
C) It specifies the number of training examples used in one iteration
D) It adjusts the learning rate of the model

5. What is Random Forest an example of?
Response:

A) A neural network architecture
B) A reinforcement learning technique
C) An ensemble learning method
D) A clustering algorithm

Solutions: