PSE-Strata Exam Dumps : Palo Alto Networks System Engineer Professional - Strata

For a price-sensitive customer needing to secure a Windows Virtual Server with a maximum throughput of 100Mbps and requiring up to 45,000 sessions, the VM-200 instance is the appropriate choice. The VM-200 is designed to handle up to 100Mbps of throughput and supports a sufficient number of sessions to meet the customer's requirements, making it a cost-effective and suitable option for this use case​ (Palo Alto Networks)​​ (Palo Alto Networks)​.

The command show mlav cloud-status is used to verify that the machine learning-based antivirus (MLAV) for portable executable (PE) files is functioning correctly within the Palo Alto Networks WildFire environment. This command provides the status of the machine learning model updates and their integration with the antivirus profile. If the model is working properly, this command will return information indicating that the MLAV service is active and synchronized with the cloud-based threat intelligence. This ensures that the firewall is effectively leveraging machine learning to identify and block malicious PE files.

Having WildFire machine learning (ML) capability inline on the firewall provides significant advantages in real-time threat prevention.

Inline ML Capability:

The firewall can analyze and block unknown malicious files in real-time, preventing the first instance of infection (patient zero).

This enhances security without disrupting business productivity, as threats are mitigated immediately.