Palo Alto Networks PSE-SWFW-Pro-24 Practice Test - Questions Answers, Page 3

Several tools and methods automate VM-Series firewall deployment:

A . Panorama Software Firewall License plugin: Panorama is used for managing firewalls, not directly for automating their initial deployment.

B . Palo Alto Networks GitHub repository: Palo Alto Networks maintains repositories on GitHub containing Terraform modules, Ansible playbooks, and other automation tools for deploying VM-Series firewalls in various cloud and on-premises environments.

C . Bootstrap the VM-Series firewall: Bootstrapping allows for automated initial configuration of the VM-Series firewall using a configuration file stored on a cloud storage service (like S3 or Azure Blob Storage). This automates initial setup tasks like setting the management IP and retrieving licenses.

D . Shared Disk Software Library folder: This is not a standard method for automating VM-Series deployment.

E . Panorama Software Library image: While Panorama doesn't directly deploy the VM-Series instance, using a pre-configured Software Library image within Panorama can automate much of the post-deployment configuration and management, effectively streamlining the overall deployment process.

VM-Series Deployment Guides: These guides detail bootstrapping and often reference automation tools on GitHub.

Panorama Administrator's Guide: This explains how to use Software Library images.

These resources confirm that GitHub repositories, bootstrapping, and using Panorama Software Library images are methods for automating VM-Series deployment.

Advanced CDSS subscriptions offer enhanced threat prevention capabilities:

A . To improve firewall throughput by inspecting hashes of advanced packet headers: While some security features use hashing, this is not the primary advantage of advanced CDSS.

B . To download and install new threat-related signature databases in real-time: Both standard and advanced CDSS subscriptions receive regular threat updates.

C . To use cloud-scale machine learning inline for detection of highly evasive and zero-day threats: This is a key differentiator of advanced CDSS. It leverages cloud-based machine learning to detect sophisticated threats that traditional signature-based methods might miss.

D . To use external dynamic lists for blocking known malicious threat sources and destinations: Both standard and advanced CDSS can use external dynamic lists.

Information about the specific features of advanced CDSS, such as inline machine learning, can be found on the Palo Alto Networks website and in datasheets comparing different CDSS subscription levels.