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GIAC GMLE Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Engineering and Deployment | - ML pipelines
|
| Machine Learning Foundations | - Core ML concepts
|
| Advanced Topics | - MLOps concepts
|
| Data Preparation and Feature Engineering | - Feature engineering
|
| Machine Learning Models | - Unsupervised learning
|
| Model Evaluation and Optimization | - Model tuning
|
GIAC Machine Learning Engineer Sample Questions:
Which statistics are commonly used to summarize a dataset?
(Choose two)
Response:
- A. Median
- B. P-value
- C. Mean
- D. Confusion matrix
Correct Answer: A,C 🗳️
Which of the following is a key advantage of Convolutional Neural Networks (CNNs) in image classification?
Response:
- A. They are easy to interpret
- B. They perform well with structured data
- C. They reduce the need for feature engineering by learning features automatically from images
- D. They work best with time-series data
Correct Answer: C 🗳️
What is the main purpose of the 'softmax' function in neural networks?
Response:
- A. To normalize the input data
- B. To speed up the computation in neural networks
- C. To introduce non-linearity into the network
- D. To convert the output of the network into probability distributions
Correct Answer: D 🗳️
What is the role of padding in a convolutional layer?
Response:
- A. To normalize the inputs
- B. To prevent overfitting
- C. To increase the number of parameters in the model
- D. To preserve the spatial dimensions of the input data
Correct Answer: D 🗳️
Which loss function is typically used for regression problems?
Response:
- A. Kullback-Leibler divergence
- B. Hinge loss
- C. Cross-entropy loss
- D. Mean Squared Error (MSE)
Correct Answer: D 🗳️
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