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GIAC Machine Learning Engineer Sample Questions:

1. The term 'convolution' in CNNs refers to:
Response:

A) A technique for accelerating network training
B) A function applied to reduce the size of the data
C) The process of combining multiple neural networks
D) A specialized neural network layer for image processing

2. What does 'one-hot encoding' do in the preprocessing of categorical data?
Response:

A) It identifies and removes outliers
B) It reduces the dimensionality of the data
C) It scales all features to a uniform range
D) It converts categorical variables into binary vectors

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

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

4. Which of the following are characteristics of hierarchical clustering?
(Choose two)
Response:

A) It can be either agglomerative or divisive
B) It requires specifying the number of clusters in advance
C) It scales better for large datasets compared to k-means
D) It creates a tree-like structure of nested clusters

5. What does the learning rate primarily affect in neural network training?
Response:

A) The speed at which the network learns
B) The number of layers in the network
C) The type of function the network can learn
D) The size of the input data

Solutions: