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New Launch GMLE PDF Dumps [2025] - GIAC GMLE Exam Questions
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GIAC Machine Learning Engineer Sample Questions (Q133-Q138):
NEW QUESTION # 133
What does the term 'epoch' refer to in the context of training a deep learning model?
Response:
- A. A single iteration over the entire dataset
- B. The process of tuning hyperparameters
- C. The final phase of model training
- D. The initial phase of model training
Answer: A
NEW QUESTION # 134
What is the purpose of 'regularization' in machine learning models?
Response:
- A. To increase the number of features in the model
- B. To speed up the training process
- C. To add constraints to the model to reduce overfitting
- D. To enhance the visualization of the model's performance
Answer: C
NEW QUESTION # 135
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. Focus on fixing inconsistencies only in the training data, ignoring the test data
- C. Ignore the inconsistencies and proceed directly to model training
- D. Identify and remove records with missing values, apply data normalization techniques, and ensure data consistency before model training
Answer: D
NEW QUESTION # 136
What does 'one-hot encoding' do in the preprocessing of categorical data?
Response:
- A. It converts categorical variables into binary vectors
- B. It identifies and removes outliers
- C. It reduces the dimensionality of the data
- D. It scales all features to a uniform range
Answer: A
NEW QUESTION # 137
Which of the following are important considerations when acquiring data from SQL databases?
(Choose two)
Response:
- A. Optimizing queries to handle large datasets efficiently
- B. Ignoring null values to prevent any potential issues
- C. Ensuring data integrity by maintaining relationships between tables
- D. Using raw, unvalidated data for better model accuracy
Answer: A,C
NEW QUESTION # 138
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