Free GMLE Questions for GIAC GMLE Exam [Apr-2025]
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NEW QUESTION # 64
Which algorithm is commonly used for anomaly detection in network traffic?
Response:
- A. Naive Bayes
- B. Decision Trees
- C. Linear Regression
- D. Autoencoders
Answer: D
NEW QUESTION # 65
What are heatmaps used for in data visualization?
Response:
- A. Displaying geographical data
- B. Representing the magnitude of phenomena as color in two dimensions
- C. Showing the relationship between two variables
- D. Plotting data over time
Answer: B
NEW QUESTION # 66
What is the main advantage of using a 'Random Forest' over a 'Decision Tree'?
Response:
- A. Simpler interpretation and understanding
- B. Reduced risk of overfitting
- C. Higher flexibility in model tuning
- D. Faster computation
Answer: B
NEW QUESTION # 67
What does the term 'hyperparameter tuning' refer to?
Response:
- A. Reducing the number of parameters in a neural network
- B. Choosing the best set of parameters for the learning algorithm
- C. Selecting the optimal learning rate for training
- D. Adjusting the model parameters based on training data
Answer: B
NEW QUESTION # 68
Which techniques are commonly used to evaluate the quality of clustering results?
(Choose two)
Response:
- A. Confusion matrix
- B. ROC curve
- C. Elbow method
- D. Silhouette score
Answer: C,D
NEW QUESTION # 69
What is a primary goal of data visualization in machine learning?
Response:
- A. To reduce the dimensionality of data
- B. To optimize the model's performance
- C. To identify patterns and insights in data
- D. To replace the need for statistical analysis
Answer: C
NEW QUESTION # 70
What is the primary challenge addressed by 'class imbalance' techniques in machine learning?
Response:
- A. Improving the computational efficiency of the model
- B. Reducing the dimensionality of the dataset
- C. Handling datasets where some classes are much more frequent than others
- D. Optimizing the model for better accuracy
Answer: C
NEW QUESTION # 71
What is Random Forest an example of?
Response:
- A. An ensemble learning method
- B. A neural network architecture
- C. A reinforcement learning technique
- D. A clustering algorithm
Answer: A
NEW QUESTION # 72
Which of the following are common applications of Convolutional Neural Networks?
(Choose two)
Response:
- A. Natural language processing
- B. Image classification
- C. Object detection
- D. Time-series forecasting
Answer: B,C
NEW QUESTION # 73
In machine learning, what is a 'Support Vector Machine' (SVM) primarily used for?
Response:
- A. Clustering and grouping similar data points
- B. Classification and regression tasks
- C. Time-series forecasting and sequence prediction
- D. Dimensionality reduction and feature extraction
Answer: B
NEW QUESTION # 74
Which of the following is the median of the dataset {3, 7, 9, 12, 15}?
Response:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION # 75
Which activation function is typically used in the output layer of a neural network for binary classification?
Response:
- A. Tanh
- B. Softmax
- C. ReLU
- D. Sigmoid
Answer: D
NEW QUESTION # 76
In machine learning, what is 'feature engineering'?
Response:
- A. The visualization of data features
- B. The creation and optimization of new features from existing data
- C. The process of choosing the right machine learning model
- D. The selection of the best features for model training
Answer: B
NEW QUESTION # 77
When scraping web data for machine learning, which of the following should you consider to ensure data quality?
Response:
- A. Ensuring data is collected regularly and follows copyright laws
- B. Collecting as much data as possible without validation
- C. Scraping only structured data
- D. Avoiding the use of any API
Answer: A
NEW QUESTION # 78
P-values in hypothesis testing are used to:
Response:
- A. Determine the practical significance of results
- B. Estimate the probability of observing the data given the null hypothesis is true
- C. Calculate the mean of the data sample
- D. Visualize the distribution of data
Answer: B
NEW QUESTION # 79
What is the main purpose of the matplotlib library in Python for machine learning?
Response:
- A. Database management
- B. Statistical data analysis
- C. Data visualization
- D. Deep learning model building
Answer: C
NEW QUESTION # 80
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