[2026] GIAC Machine Learning Engineer - GMLE 무료 시험 문제

문제1

Which Python libraries are commonly used for visualizing data in machine learning?
(Choose two)
Response:

A. Pandas

B. Seaborn

C. Matplotlib

D. TensorFlow

정답: B,C

문제2

Which statistic is used to measure the relationship between two variables?
Response:

A. Standard deviation

B. Correlation coefficient

C. Median

D. Mean

정답: B

문제3

What is 'feature importance' in the context of machine learning models?
Response:

A. The process of adding new features to the model

B. The technique of encoding categorical features

C. The step of removing irrelevant features from the model

D. The measure of a feature's contribution to the model's prediction

정답: D

문제4

What is the primary goal of supervised learning?
Response:

A. To learn a function that maps input data to known output labels

B. To cluster data into predefined categories

C. To group similar data points without labeled outputs

D. To identify hidden patterns in data without guidance

정답: A

문제5

Which techniques can be used to improve the performance of a linear regression model?
(Choose two)
Response:

A. Increasing the number of decision trees

B. Adding regularization, such as L1 (Lasso) or L2 (Ridge)

C. Including interaction terms between variables

D. Reducing the dataset size

정답: B,C

문제6

You have a large dataset stored as a CSV file, and you want to load, clean, and prepare it for a machine learning model using Python. What steps should you take using Pandas to clean the data and remove any rows with missing values?
Response:

A. Visualize the missing values with Matplotlib before cleaning the data

B. Use np.load() to load the data and ignore any missing values

C. Load the data with pd.read_csv() and manually remove missing values from the file

D. Use the pd.read_csv() function to load the data, followed by the dropna() function to remove rows with missing values, and the describe() function to get summary statistics for further analysis

정답: D

문제7

Which of the following are common applications of Bayes' Theorem in machine learning?
(Choose two)
Response:

A. Developing recommendation systems

B. Building decision trees

C. Creating Naive Bayes classifiers

D. Calculating the posterior probability in classification tasks

정답: C,D

문제8

What is the Fourier Series used for in data science?
Response:

A. To determine the probability of an event

B. To generate random numbers for a model

C. To break down periodic functions into sums of sine and cosine terms

D. To calculate the mean of the dataset

정답: C

문제9

What is the scikit-learn library in Python best used for?
Response:

A. High-performance computing

B. Large-scale data processing

C. Machine learning model development

D. Advanced data visualization

정답: C

GIAC Machine Learning Engineer - GMLE무료 덤프문제 풀어보기

우리와 연락하기

유용한 링크

최신 업데이트