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GIAC Machine Learning Engineer Sample Questions (Q35-Q40):
NEW QUESTION # 35
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. 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
- B. Randomly select the number of clusters and observe the clustering performance
- C. Use hierarchical clustering to identify clusters and apply the same number to k-means
- D. Start with a large number of clusters and manually reduce them over time
Answer: A
NEW QUESTION # 36
Which algorithm is best suited for handling time-series data?
Response:
- A. Decision Trees
- B. Recurrent Neural Networks
- C. K-Means Clustering
- D. Convolutional Neural Networks
Answer: B
NEW QUESTION # 37
What is pandas.DataFrame.groupby() typically used for in data analysis with Python?
Response:
- A. Sorting data in ascending or descending order
- B. Performing element-wise operations on data frames
- C. Splitting the data into groups based on some criteria
- D. Concatenating multiple data frames
Answer: C
NEW QUESTION # 38
Which Python libraries are commonly used for visualizing data in machine learning?
(Choose two)
Response:
- A. Pandas
- B. Matplotlib
- C. TensorFlow
- D. Seaborn
Answer: B,D
NEW QUESTION # 39
Which Python library is commonly used for data manipulation and analysis in machine learning?
Response:
- A. Keras
- B. Pandas
- C. Matplotlib
- D. TensorFlow
Answer: B
NEW QUESTION # 40
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