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Palo Alto Networks Security Operations Generalist Sample Questions:

1. Log stitching in Cortex XDR is used for:
Response:

A) Correlating multiple security events to create a unified incident timeline
B) Automatically blocking all detected threats
C) Encrypting security logs for compliance purposes
D) Aggregating network traffic data only

2. An organization is using Palo Alto Networks IoT Security integrated with their NGFW. A new vulnerability is announced for a specific model of 'IoT Camera' device deployed in the company. The IoT Security platform identifies that several devices are affected and flags them as high risk. The security team wants to immediately implement a temporary policy to restrict all communication from these specifically vulnerable cameras until they can be patched. Which of the following policy configurations and considerations are most relevant to achieving this rapid, targeted restriction using the IoT Security integration? (Select all that apply)

A) Ensure this new 'deny' rule for vulnerable cameras is placed above any existing 'allow' rules that might permit communication from the general IoT segment.
B) Leverage the dynamic device group automatically created or updated by the IoT Security platform for 'Vulnerable IoT Cameras'.
C) Create a Security Policy rule with the Source Zone matching the IoT segment and the Source Address referencing the dynamic 'Vulnerable IoT Cameras' device group.
D) Configure the IoT Security platform to automatically push configuration changes to the vulnerable devices themselves to disable network connectivity.
E) Set the Action of the Security Policy rule matching the vulnerable cameras to 'deny' or 'drop' for all applications and destinations.

3. An administrator needs to modify a Security Policy rule on a Palo Alto Networks PA-Series firewall. The rule currently allows outbound web browsing but needs to be updated to deny access to the 'social-networking' application for users in the 'Interns' user group. Assuming the rule already matches the correct source/destination zones and general web browsing application, how should the administrator MOST efficiently modify the existing rule or add a new rule to implement this change?

A) Edit the existing rule, add 'social-networking' to the 'Application' field, add 'Interns' to the 'Source User' field, but keep the action as 'allow' and apply a URL Filtering profile that blocks social networking.
B) Create a new Security Policy rule with 'Source User' set to 'Interns', 'Application' set to 'web-browsing', Source/Destination Zones matching the outbound traffic, and Action set to 'deny'. Place this new rule above the existing general web browsing rule.
C) Edit the existing rule and add 'social-networking' to the 'Excluded Applications' list.
D) Create a new Security Policy rule with 'Source User' set to 'Interns', 'Application' set to 'social-networking', Source/Destination Zones matching the outbound traffic, and Action set to 'deny'. Place this new rule above the existing general web browsing rule.
E) Edit the existing rule, add the 'Interns' user group to the 'Source User' field, add 'social-networking' to the 'Application' field, and change the rule's Action to 'deny'.

4. When a Palo Alto Networks NGFW detects a file containing known malware based on its Antivirus signature database, where is this event primarily logged?

A) Traffic logs
B) File Blocking logs
C) Threat logs
D) System logs
E) Antivirus logs

5. A security team manages a large fleet of Palo Alto Networks firewalls using Panoram a. They have enabled AIOps for NGFW to improve operational efficiency and security posture. They receive an AIOps alert about high session setup rates on a specific firewall, potentially indicating a performance bottleneck or a network anomaly (like a connection flood). Which of the following are valid actions the team can take or insights they can gain by leveraging the integration between AIOps and Panorama/Cortex Data Lake to investigate and address this alert? (Select all that apply)

A) Identify if the high session setup rate correlates with any specific configuration changes made to the firewall using AIOps' change correlation capabilities.
B) Drill down from the AIOps alert into the detailed Traffic logs for the affected firewall (stored in Cortex Data Lake/Panorama Log Collector) to identify the source IPs, destinations, and applications contributing to the high session setup rate.
C) Receive recommendations from AIOps on potential causes for the high session setup rate, such as short-lived connections or specific application traffic patterns.
D) View historical trends and analyze the rate of new sessions on the affected firewall over time within the AIOps dashboard to determine if the current rate is an anomaly or a consistent pattern.
E) Automatically apply QOS policies via AIOps to mitigate the impact of high session setup on critical traffic.

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