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A network operations team relies on AIOps for NGFW to proactively identify potential performance issues before they impact users. They observe an AIOps alert indicating a high rate of packet drops on a specific interface of a PA-Series firewall. Which specific data points or views available through the AIOps dashboard or its linked components (like Cortex Data Lake) would be MOST helpful in diagnosing the potential root cause of these packet drops? (Select all that apply)
Correct Answer: A,B,C,D,E
Diagnosing packet drops requires examining network interface metrics, system resources, traffic logs, performance indicators, and recent changes. AIOps aggregates many of these or links to the source data. - Option A (Correct): Direct interface statistics are crucial for confirming packet drops and potentially identifying the nature of the errors (e.g., input drops due to overload, output errors). AIOps collects and visualizes these. - Option B (Correct): High CPU or data plane load can cause packet drops due to the firewall being overwhelmed. Checking resource utilization is a standard diagnostic step available via AIOps. - Option C (Correct): Traffic logs (in CDL/Panorama) provide details about why traffic is dropped (e.g., denied by policy, hit a specific error). Filtering logs by the affected interface helps correlate drops with specific traffic types or policy enforcement. AIOps facilitates drilling down to these logs. - Option D (Correct): High session setup rate or maximum throughput being reached can indirectly lead to packet drops on interfaces as the firewall struggles to process traffic. Performance monitoring metrics provide this context. - Option E (Correct): Recent configuration changes (e.g., interface speed/duplex mismatch, new policies causing unexpected load) can cause packet drops. AIOps change correlation helps identify such potential causes.