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GIAC Machine Learning Engineer Sample Questions (Q80-Q85):

NEW QUESTION # 80
What is the primary purpose of clustering in unsupervised machine learning?
Response:

A. To predict future data points based on historical data
B. To reduce the dimensionality of the data
C. To group similar data points without predefined labels
D. To improve the accuracy of supervised learning models

Answer: C

NEW QUESTION # 81
The 'Pandas' library in Python is primarily used for:
Response:

A. Building neural network models
B. Implementing reinforcement learning algorithms
C. Real-time data streaming
D. Data manipulation and analysis

Answer: D

NEW QUESTION # 82
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. Identify and remove records with missing values, apply data normalization techniques, and ensure data consistency before model training
B. Focus on fixing inconsistencies only in the training data, ignoring the test data
C. Ignore the inconsistencies and proceed directly to model training
D. Collect additional data from a different source without fixing the original dataset

Answer: A

NEW QUESTION # 83
In deep learning, 'dropout' is a technique used to:
Response:

A. Speed up computations
B. Reduce data dimensionality
C. Prevent overfitting
D. Increase model accuracy

Answer: C

NEW QUESTION # 84
What is the main advantage of using a 'Random Forest' over a 'Decision Tree'?
Response:

A. Reduced risk of overfitting
B. Simpler interpretation and understanding
C. Higher flexibility in model tuning
D. Faster computation

Answer: A

NEW QUESTION # 85
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