QuestionQ60
ObservabilityYou are a security engineer at a financial technology company. You need to build a centralized dashboard that gives your leadership team visibility into security posture. The dashboard must meet these requirements:
- Provide insights from Security Command Center (SCC) findings and security-related events recorded in Cloud Logging.
- Support high volumes of historical data.
- Be capable of joining SCC findings with audit logs.
You want to use the most effective visualization solution that relies on Google Cloud managed services. What should you do?
- A Ingest the SCC findings and Cloud Audit Logs into a Cloud Storage bucket. Write a Python script that reads the data and uses Matplotlib to create the visualizations.
- B Create custom metrics in Cloud Monitoring based on the SCC findings, and configure log-based metrics for security-related events. Build Cloud Monitoring dashboards to visualize these custom and log-based metrics.
- C Export SCC findings and Cloud Audit Logs to BigQuery. Connect Looker Studio to the BigQuery datasets, and create the visualizations and filters.
- D Use the built-in SCC dashboard to visualize the SCC finding, and extract log counts for specific log events from Cloud Audit Logs.
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