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GIAC Machine Learning Engineer Sample Questions (Q29-Q34):
NEW QUESTION # 29
Which Python library is commonly used for data manipulation and analysis in machine learning?
Response:
- A. Keras
- B. TensorFlow
- C. Pandas
- D. Matplotlib
Answer: C
NEW QUESTION # 30
What role does 'batch size' play in training neural networks?
Response:
- A. It sets the total number of training iterations
- B. It adjusts the learning rate of the model
- C. It specifies the number of training examples used in one iteration
- D. It determines the maximum number of features used in the model
Answer: C
NEW QUESTION # 31
Why is feature scaling important in machine learning?
Response:
- A. It increases the number of features
- B. It ensures that different features contribute equally to the model training
- C. It helps in handling missing data
- D. It makes the model training process faster
Answer: B
NEW QUESTION # 32
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. Focus on fixing inconsistencies only in the training data, ignoring the test data
- B. Identify and remove records with missing values, apply data normalization techniques, and ensure data consistency before model training
- C. Ignore the inconsistencies and proceed directly to model training
- D. Collect additional data from a different source without fixing the original dataset
Answer: B
NEW QUESTION # 33
Which of the following are advantages of using Support Vector Machines (SVM) for classification tasks?
(Choose two )
Response:
- A. Works well when there is a clear margin of separation between classes
- B. Performs well with large amounts of missing data
- C. Is highly interpretable and easy to visualize
- D. Effective in high-dimensional spaces
Answer: A,D
NEW QUESTION # 34
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