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Which Machine Learning-based visualization is helpful in analyzing extremely large volumes of log records by grouping them based on their shape?
Correct Answer: A
In Logging Analytics, ML-driven visualizations aid log analysis: Cluster (A): Uses machine learning to group logs by structural similarity ("shape"), reducing noise and highlighting patterns or anomalies in large datasets. Why not B or C? Summary Table (B): Aggregates data tabularly, not ML-based or shape-focused. Word Cloud (C): Displays word frequency, not structural grouping. Cluster is ideal for large-scale log pattern recognition.
