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GIAC GMLE Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Evaluation and Optimization | - Model tuning
|
| Machine Learning Engineering and Deployment | - Deployment considerations
|
| Machine Learning Foundations | - Core ML concepts
|
| Advanced Topics | - Deep learning basics
|
| Machine Learning Models | - Supervised learning models
|
| Data Preparation and Feature Engineering | - Data preprocessing
|
GIAC Machine Learning Engineer Sample Questions:
Question 1
Which Python library is commonly used for data manipulation and analysis in machine learning?
Response:
A. Keras
B. Matplotlib
C. TensorFlow
D. Pandas
Question 2
Which of the following are common supervised learning algorithms?
(Choose two)
Response:
A. Random Forest
B. k-means
C. DBSCAN
D. Linear Regression
Question 3
What is the scikit-learn library in Python best used for?
Response:
A. High-performance computing
B. Machine learning model development
C. Large-scale data processing
D. Advanced data visualization
Question 4
What is pandas.DataFrame.groupby() typically used for in data analysis with Python?
Response:
A. Sorting data in ascending or descending order
B. Splitting the data into groups based on some criteria
C. Concatenating multiple data frames
D. Performing element-wise operations on data frames
Question 5
Which of the following best describes linear regression?
Response:
A. A neural network technique
B. A technique for predicting a continuous target variable based on input features
C. A method for classifying data into categories
D. A clustering algorithm
Solutions:
| Question 1 Answer: D | Question 2 Answer: A,D | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: B |
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