HP HPE7-A02 Exam With Confidence Using Practice Dumps

When using HPE Aruba Networking Central SD-WAN Orchestrator to establish a hub-spoke VPN between branch gateways (BGWs) and VPN concentrators (VPNCs) at multiple data centers, admins need to configure the BGWs' groups by selecting the VPNCs to which they should connect in a Data Center (DC) preference list. This configuration ensures that branch gateways are properly directed to the preferred VPN concentrators, optimizing the hub-spoke VPN topology.

1.DC Preference List: This list allows administrators to prioritize which data center VPNCs the BGWs should connect to, ensuring efficient routing and redundancy.

2.Hub-Spoke Configuration: Properly setting the DC preference list is essential for establishing the desired hub-spoke VPN architecture.

3.Optimized Connectivity: This setup helps in optimizing traffic flow and maintaining connectivity between branches and data centers.

Integrating HPE Aruba Networking ClearPass Policy Manager (CPPM) and HPE Aruba Networking ClearPass Device Insight (CPDI) can help a company implement Zero Trust Security by allowing CPDI to use tags to inform CPPM that clients are using prohibited applications. CPPM can then take action, such as telling the network infrastructure to quarantine those clients, ensuring that only compliant and trusted devices have network access.

1.Device Insight Tags: CPDI can monitor client behavior and tag devices that are using prohibited applications.

2.Policy Enforcement: CPPM can use these tags to apply specific enforcement actions, such as quarantining non-compliant devices.

3.Zero Trust Implementation: This integration supports Zero Trust Security by ensuring that all devices are continuously monitored and controlled based on their behavior and compliance with security policies.

For a company that lacks visibility into various types of user and IoT devices on its internal network, HPE Aruba Networking ClearPass Device Insight (CPDI) is the recommended solution. CPDI provides comprehensive visibility and profiling of all devices connected to the network. It uses machine learning and AI to identify and classify devices, offering detailed insights into their behavior and characteristics. This enhanced visibility enables the security team to effectively monitor and manage network devices, improving overall network security and compliance.