Which technology described in the material analyzes logs and baselines to learn from data and make decisions automatically?

• A. Machine learning
• B. Rule-based analytics
• C. Data mining
• D. Statistical analysis

Answer: (A)

Machine learning is about learning from data to recognize normal behavior and automatically act on new information. When applied to logs, it uses historical entries to build a model of typical activity and a baseline of what’s normal. As new data flows in, the model assesses whether current behavior fits the learned pattern, and it can trigger decisions or automated responses without needing explicit rules for every situation. This ability to adapt and automate based on data is what makes it the best fit for analyzing logs and baselines.

Rule-based analytics relies on fixed, human-defined rules and doesn’t learn from data or adapt on its own. Data mining focuses on discovering patterns and relationships in data but doesn’t by itself drive autonomous decision-making. Statistical analysis uses methods to summarize data or test hypotheses, but it doesn’t inherently learn from history to continuously decide or automate actions.