GIAC Machine Learning Engineer : GMLE

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GIAC Machine Learning Engineer Sample Questions:

1. What is pandas.DataFrame.groupby() typically used for in data analysis with Python?
Response:

A) Splitting the data into groups based on some criteria
B) Sorting data in ascending or descending order
C) Performing element-wise operations on data frames
D) Concatenating multiple data frames

2. Which of the following are common supervised learning algorithms?
(Choose two)
Response:

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

3. You are using a CNN to classify images in a dataset. After several epochs of training, you notice that the model performs well on the training set but poorly on the validation set. This suggests overfitting.
What steps should you take to improve the generalization of the model?
Response:

A) Remove padding to simplify the architecture
B) Implement dropout in the fully connected layers, apply data augmentation to increase the variability of the training data, and consider early stopping to prevent overfitting
C) Train the model for more epochs and reduce the use of regularization
D) Reduce the size of the dataset and increase the number of convolutional layers

4. What is a primary goal of data visualization in machine learning?
Response:

A) To replace the need for statistical analysis
B) To identify patterns and insights in data
C) To optimize the model's performance
D) To reduce the dimensionality of data

5. Stochastic Gradient Descent differs from traditional Gradient Descent by:
Response:

A) Updating model parameters after evaluating each data point
B) Using a fixed learning rate throughout the training process
C) Updating model parameters after evaluating the entire dataset
D) Eliminating the need for a learning rate

Solutions: