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GIAC GMLE Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Engineering and Deployment | - ML pipelines
|
| Machine Learning Foundations | - Mathematical and statistical fundamentals
|
| Data Preparation and Feature Engineering | - Data preprocessing
|
| Model Evaluation and Optimization | - Evaluation metrics
|
| Advanced Topics | - MLOps concepts
|
| Machine Learning Models | - Unsupervised learning
|
GIAC Machine Learning Engineer Sample Questions:
Which of the following is a supervised learning algorithm?
Response:
- A. Support Vector Machine (SVM)
- B. k-means clustering
- C. Autoencoders
- D. Principal Component Analysis (PCA)
Correct Answer: A 🗳️
What is the primary benefit of using the 'early stopping' technique in training machine learning models?
Response:
- A. To increase the accuracy of the model on the training data
- B. To prevent overfitting by stopping the training when performance on a validation set starts to degrade
- C. To speed up the training process by reducing the number of iterations
- D. To optimize the hyperparameters automatically during training
Correct Answer: B 🗳️
Which of the following are characteristics of hierarchical clustering?
(Choose two)
Response:
- A. It creates a tree-like structure of nested clusters
- B. It requires specifying the number of clusters in advance
- C. It scales better for large datasets compared to k-means
- D. It can be either agglomerative or divisive
Correct Answer: A,D 🗳️
Which method is NOT typically used for data acquisition in machine learning?
Response:
- A. Web scraping
- B. SQL queries
- C. Manual data entry
- D. Neural network predictions
Correct Answer: D 🗳️
What does 'data imputation' refer to in data preprocessing?
Response:
- A. Filling in missing or null values in the data
- B. Removing irrelevant features from the dataset
- C. Scaling data to a standard range
- D. Transforming categorical data into numerical data
Correct Answer: A 🗳️
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