New GMLE Learning Materials - Free GMLE Download Pdf
New GMLE Learning Materials - Free GMLE Download Pdf
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Tags: New GMLE Learning Materials, Free GMLE Download Pdf, Reliable GMLE Test Practice, GMLE Test Simulator Free, Latest GMLE Test Guide
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Free GMLE Questions That Will Get You Through the Exam
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GIAC Machine Learning Engineer Sample Questions (Q35-Q40):
NEW QUESTION # 35
What is the primary purpose of clustering in unsupervised machine learning?
Response:
- A. To predict future data points based on historical data
- B. To group similar data points without predefined labels
- C. To improve the accuracy of supervised learning models
- D. To reduce the dimensionality of the data
Answer: B
NEW QUESTION # 36
You are tasked with clustering a large dataset of customer transactions to identify patterns of behavior. You have chosen k-means clustering but are unsure of the optimal number of clusters to use. What steps should you take to determine the optimal number of clusters and ensure high-quality clustering?
Response:
- A. Start with a large number of clusters and manually reduce them over time
- B. Use hierarchical clustering to identify clusters and apply the same number to k-means
- C. Use the elbow method to plot the within-cluster sum of squares and determine the point where the improvement diminishes, and use the silhouette score to evaluate cluster cohesion
- D. Randomly select the number of clusters and observe the clustering performance
Answer: C
NEW QUESTION # 37
Which are common sources of data used in machine learning pipelines?
(Choose two)
Response:
- A. APIs
- B. Web scraping
- C. Manual calculations
- D. Model ensembling
Answer: A,B
NEW QUESTION # 38
Which of the following are important when using standard deviation to understand data spread?
(Choose two)
Response:
- A. Standard deviation can only be used for categorical data
- B. A small standard deviation means that data points are close to the mean
- C. Standard deviation is not influenced by outliers
- D. A large standard deviation means that data points are more spread out
Answer: B,D
NEW QUESTION # 39
What does 'root mean squared error' (RMSE) measure in regression models?
Response:
- A. The square root of the average of squared differences between prediction and actual observa
- B. The average of the absolute errors
- C. The variance explained by the model
- D. The standard deviation of the residuals
Answer: A
NEW QUESTION # 40
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