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Palo Alto Networks Network Security Analyst Sample Questions:

1. A Palo Alto Networks Network Security Analyst notices a pattern of 'DNS sinkhole' logs in the Log Viewer. These logs indicate internal hosts attempting to resolve known malicious domains, and the firewall is successfully redirecting these requests to the configured sinkhole IP. However, no corresponding 'critical' or 'high' severity alerts are appearing on the Incidents and Alerts page, despite the potential severity of internal compromise. What configuration element is MOST likely missing or misconfigured that would prevent these sinkhole events from generating an incident?

A) The DNS Proxy setting on the firewall is not enabled, preventing proper sinkholing.
B) The WildFire Analysis profile is not enabled for DNS traffic, so no verdict is generated.
C) The Anti-Spyware profile applied to the relevant security policy does not have the 'DNS Sinkhole' action set to 'alert' or 'block' for the respective threat category.
D) The Log Fomarding profile is not configured to send 'threat' logs with 'severity: high' to the Cortex Data Lake for incident correlation.
E) The Security Policy rule allowing DNS traffic has its 'Action' set to 'allow' instead of 'allow-log'.

2. A Palo Alto Networks firewall, deployed as an internet edge device, experiences a sudden and severe performance degradation, with packet queues building up significantly and high latency for all outbound traffic. The firewall's system logs show repeated 'HA link flapping' messages, even though the physical HA links appear fine. No configuration changes were recently deployed. You suspect a 'split-brain' scenario or a misconfiguration impacting the HA state. Which of the following is the MOST PROBABLE cause, and what immediate action would you take to stabilize the environment (assuming a redundant setup)?

A) The HA path monitoring or link monitoring thresholds are too aggressive, causing false positives. Increase the thresholds for path and link monitoring and commit.
B) A network loop is detected on an interface participating in H Immediately disable HA preemption on both firewalls and then review network topology for loops.
C) Acritical interface configured for HA path monitoring has failed on the active firewall, causing it to declare itself passive, but the passive firewall is also experiencing issues preventing it from becoming active. Manually force a failover to the healthy firewall using request high-availability state functional-hold if possible, or reboot the currently active firewall.
D) The HA control link (heartbeat) is experiencing excessive latency or packet loss, leading to perceived link flapping. Check latency on the HA control link and consider relocating it or addressing congestion on the interconnect.
E) The HA configuration for the data plane is out of sync between the active and passive firewalls, causing traffic processing errors. Push a full configuration sync from the active device to the passive device using request high-availability synchronize configuration.

3. Consider a scenario where an internal web server (10.0.2.50) hosts a public website accessible via 'www.example.com' (public IP 203.0.113.10). The Palo Alto Networks firewall is the edge device. You need to configure a NAT policy to allow external users to access this web server. Additionally, internal users, when trying to reach 'www.example.com' (203.0.113.10), should also be directed to the internal server (10.0.2.50) without hairpinning traffic through the external interface. Which combination of NAT policies is most appropriate to achieve both external and internal access efficiently?

A) Only a Destination NAT policy translating 203.0.113.10 to 10.0.2.50, with no Source NAT for internal users.
B) A static Source NAT policy from 10.0.2.50 to 203.0.113.10 and a dynamic Destination NAT policy.
C) Only a Source NAT policy for internal users accessing 203.0.113.10, translating their source IP to the firewall's internal interface IP.
D) A Destination NAT policy translating 203.0.113.10 to 10.0.2.50, and a separate Source NAT policy for internal users accessing 203.0.113.10, translating their source IP to the firewall's internal interface IP.
E) A Destination NAT policy translating 203.0.113.10 to 10.0.2.50, and a separate Loopback NAT (or U-Turn NAT) policy where the 'Original Packet' source zone is 'Internal', destination zone is 'External', original destination IP is 203.0.113.10, and 'Translated Packet' destination IP is 10.0.2.50, with a Source NAT translating the internal client's IP to the firewall's internal interface IP.

4. A financial institution is implementing SD-WAN to connect its branch offices to a central data center. They have a strict compliance requirement that all transactions involving customer financial data (identified by specific TCP ports and FQDNs) must traverse an IPSec VPN tunnel over a dedicated MPLS circuit, even if other links are available and performing better. Non-critical traffic can use any available internet link based on performance. How would you configure this using Palo Alto Networks SD-WAN?

A) Use an SD-WAN aggregate interface group for all internet links. Create a PBF rule for financial transaction traffic to explicitly use the MPLS interface, bypassing the SD-WAN policy engine. Configure a security policy for non-critical traffic to use the SD-WAN aggregate interface.
B) Create a PBF rule for the financial transaction traffic, specifying the IPSec VPN tunnel over MPLS as the explicit next-hop interface. For non-critical traffic, configure an SD-WAN policy with a 'best path' profile that considers all available internet links.
C) Implement two distinct SD-WAN policy sets: one with high priority for financial transactions, explicitly defining the MPLS VPN as the only egress path and overriding any SLA profiles. The second policy set for non-critical traffic would use performance-based path selection.
D) Configure separate virtual routers. Route financial transaction traffic through a VR dedicated to MPLS. Route non-critical traffic through a VR configured for SD- WAN dynamic path selection over internet links. Inter-VR routing would handle the separation.
E) Define a custom application for financial transactions. Create an SD-WAN policy with a 'strict' SLA profile that only includes the MPLS circuit. Apply this policy to the custom application. For non-critical traffic, use a default SD-WAN policy.

5. A critical vulnerability (CVE-2023-XXXX) affecting a widely used web server application has been announced, and the CISO demands immediate identification of all internal systems that have communicated with known malicious IPs associated with this vulnerability over the last 30 days. The incident response team needs to rapidly query Strata Logging Service, cross-reference with an external threat intelligence feed (TAXII/STIX), and generate a list of affected internal hosts and the specific firewall sessions. Describe the MOST effective workflow and necessary technical components.

A) Programmatically fetch the malicious IPs from the TAXII/STIX feed using Python. Construct a dynamic SLQL query that filters 'traffic' logs for 'source_ip' or 'destination_ip' matching any of the fetched malicious IPs, and filter by 'time_generated' for the last 30 days. Execute the query via the Strata Logging Service API. Process the JSON response to extract 'source_ip', 'destination_ip', 'app', 'time_generated', and 'session_id'.
B) Integrate the external threat intelligence feed into Palo Alto Networks WildFire and Threat Prevention. Query Strata Logging Service for 'threat' logs where 'action' is 'alert' or 'drop' and the 'signature' matches the CVE, or 'traffic' logs where 'destination_ip' or 'source_ip' are categorized as 'malicious' by Palo Alto Networks Dynamic Updates. Use the Strata Logging Service API for programmatic querying.
C) Manual export of traffic logs from Strata Logging Service, import into a local database, and then run SQL queries against the malicious IP list.
D) Configure syslog forwarding from Strata Logging Service to a separate SIEM. In the SIEM, ingest the TAXII/STIX feed and create correlation rules to identify matches between internal IPs and the malicious IPs.
E) Utilize the Strata Logging Service Query Language (SLQL) directly from the Strata Logging Service I-Jl. Manually paste each malicious IP into the query for 'destination_ip' or 'source_ip' fields and filter for the last 30 days. Export results to CSV.

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