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Get All Palo Alto Networks Next-Generation Firewall Engineer Exam Questions with Validated Answers
| Vendor: | Palo Alto Networks |
|---|---|
| Exam Code: | NGFW-Engineer |
| Exam Name: | Palo Alto Networks Next-Generation Firewall Engineer |
| Exam Questions: | 50 |
| Last Updated: | January 7, 2026 |
| Related Certifications: | Palo Alto Networks Certified Next-Generation Firewall Engineer |
| Exam Tags: | Professional Level Palo Alto Network Engineers and System Administrators |
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According to dynamic updates best practices, what is the recommended threshold value for content updates in a mission- critical network?
For a mission-critical network, it is recommended to configure the content update threshold to 8 hours. This ensures that the network is protected with the latest threat intelligence, updates to signatures, and other critical content, minimizing the exposure to newly discovered vulnerabilities and threats.
Regular content updates are crucial in mission-critical environments to ensure the firewall is up-to-date with the latest protections. 8 hours is considered an optimal balance between timely updates and network performance.
When integrating Kubernetes with Palo Alto Networks NGFWs, what is used to secure traffic between microservices?
When integrating Kubernetes with Palo Alto Networks NGFWs, the CN-Series firewalls are specifically designed to secure traffic between microservices in containerized environments. These firewalls provide advanced security features like Application Identification (App-ID), URL filtering, and Threat Prevention to secure communication between containers and microservices within a Kubernetes environment.
Which set of options is available for detailed logs when building a custom report on a Palo Alto Networks NGFW?
When building a custom report on a Palo Alto Networks NGFW, you can select detailed logs that provide specific insights into various aspects of firewall activity. The available options for detailed logs typically include:
Traffic logs: These provide information on the network traffic passing through the firewall.
Threat logs: These logs capture data related to identified security threats, such as malware or intrusion attempts.
Data filtering logs: These logs capture events related to data filtering policies, such as preventing the transfer of sensitive data.
User-ID logs: These logs associate user identities with the traffic and activities observed on the firewall, enabling user-based policy enforcement.
A multinational organization wants to use the Cloud Identity Engine (CIE) to aggregate identity data from multiple sources (on premises AD, Azure AD, Okta) while enforcing strict data isolation for different regional business units. Each region's firewalls, managed via Panorama, must only receive the user and group information relevant to that region. The organization aims to minimize administrative overhead while meeting data sovereignty requirements.
Which approach achieves this segmentation of identity data?
To meet the requirement of data isolation for different regional business units while minimizing administrative overhead, the best approach is to establish separate Cloud Identity Engine (CIE) tenants for each business unit. Each tenant would be integrated with the relevant identity sources (such as on-premises AD, Azure AD, and Okta) for that specific region. This ensures that the identity data for each region is kept isolated and only relevant user and group data is distributed to the respective regional firewalls.
By maintaining a strict one-to-one mapping between CIE tenants and business units, the organization ensures that each region's firewall only receives the user and group data relevant to that region, thus meeting data sovereignty requirements and minimizing administrative complexity.
Which statement applies to Log Collector Groups?
The maximum number of Log Collectors that can be added to a Log Collector Group is 18 plus 2 hot spares, ensuring redundancy and availability in case of failure. This allows for a total of up to 20 Log Collectors in a group, providing sufficient scalability and reliability for log collection.
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