Detailed Answer in Step-by-Step Solution:

Objective: Find a true statement about OCI Anomaly Detection.

Understand Service: Detects anomalies in multivariate data (e.g., time series). Evaluate Options:

A: False—Accepted types are CSV/JSON, not SQL/Python.

B: Partially true—Focuses on numerical data (e.g., sensors), not text broadly. C: True—Used for fraud,

intrusions, and sensor anomalies (key use cases).

D: False—Trained on customer data only, not general datasets. Reasoning: C aligns with documented

applications; others misalign. Conclusion: C is correct.

OCI Anomaly Detection documentation states: “The service is designed to detect anomalies in time series

data, making it valuable for fraud detection, network intrusion analysis, and sensor discrepancies.” A is

incorrect (file formats), B overgeneralizes (numerical focus), and D misstates training data—only C

matches the service’s purpose.

: Oracle Cloud Infrastructure Anomaly Detection Documentation, "Use Cases".