HPE2-W12 Online Practice Questions

Explanation:
The correct answer is A because Zero Trust Security is based on the principle that no user, device, or network segment should be inherently trusted, regardless of whether it is internal or external. Aruba highlights that organizations still often assume internal traffic is more secure than external traffic, and this assumption creates a significant security gap. Identifying whether customers rely on this “trusted internal” model reveals a clear use case for Zero Trust adoption.
Relevant extracts from official HPE Aruba Networking documentation:
“Zero Trust is a security model where no user, device, or application is implicitly trusted, whether inside or outside the network perimeter.”
“Traditional approaches assume internal devices and users are trustworthy, but Zero Trust eliminates this assumption by continuously authenticating and authorizing every entity.”
“Aruba Zero Trust Security focuses on visibility, control, and continuous monitoring to enforce least-privilege access across all devices―including unmanaged IoT―inside the network.”
“Organizations that still rely on implicit trust for internal users and devices are prime candidates for Zero Trust adoption.”
Why the other options are incorrect:
B. Understanding IPsec is a technical detail and does not uncover a Zero Trust use case.
C. Regulatory compliance is important but is not the primary driver for Zero Trust adoption―it is more about assurance and governance.
D. Data-at-rest encryption is a storage/security requirement, not directly tied to network-based Zero Trust security principles.
References (HPE Aruba Networking Solutions / Study Guides):
Aruba Zero Trust Security ― Solution Overview
Aruba ESP (Edge Services Platform) ― Security White Paper
Aruba ClearPass and Client Insights ― Technical Guide
Aruba ESP Zero Trust and SASE Positioning ― Product Brief

Explanation:
The correct answer is A because Aruba Central with AI for Networking leverages machine learning-driven analytics and insights to automatically identify and resolve network performance issues. This minimizes the time IT teams spend on manual troubleshooting, allowing them to focus on strategic initiatives.
Relevant extracts from official HPE Aruba Networking documentation:
“Aruba Central delivers AI-powered insights and prescriptive recommendations that help IT identify and resolve problems faster, reducing troubleshooting time from hours or days to minutes.”
“By applying AI/ML and advanced analytics, Aruba Central proactively detects anomalies and provides root-cause analysis, minimizing downtime and freeing IT resources.”
“AI for IT operations in Aruba Central accelerates troubleshooting with real-time network health insights and automated remediation guidance.”
Why the other options are incorrect:
B. ClearPass is primarily for secure access control and policy enforcement, not network performance monitoring and troubleshooting.
C. The Network Analytics Engine (NAE) is a built-in feature of Aruba CX switches for custom telemetry and automation, but it is not designed for broad troubleshooting acceleration across the entire network.
D. UXI is a valuable solution for end-user experience monitoring, but it complements rather than replaces AI-driven troubleshooting across the full infrastructure. The senior IT manager’s outcome of reducing admin troubleshooting time maps most directly to AI in Aruba Central.
References (HPE Aruba Networking Solutions / Study Guides):
Aruba Central AI for Networking ― Solution Overview
Aruba ESP (Edge Services Platform) ― Technical White Paper
Aruba AIOps for Centralized IT Operations ― Deployment Guide
Aruba Central AI-Powered Troubleshooting and Root Cause Analysis ― Product Brief

Explanation:
The correct answer is D because Aruba Central simplifies security by offering policy recommendations through AI-powered insights. These recommendations help IT administrators enforce consistent and adaptive security policies across users, devices, and applications without complex manual configuration. Admins can review the suggested policies and apply them directly, reducing human error and improving security posture.
Relevant extracts from HPE Aruba Networking documentation:
“Aruba Central leverages AI insights to provide policy recommendations that can be quickly previewed and applied by administrators.”
“Policy automation simplifies security operations by reducing the manual overhead associated with access control enforcement.”
“With Aruba Central, organizations can streamline role-based access policy deployment, ensuring that best-practice security rules are consistently applied.”
“The solution helps IT scale security controls across distributed environments while reducing operational complexity.”
Why the other options are incorrect:
A. Aruba Central does not rely on private 5G integration for simplifying network protection; that is part of Aruba private 5G solutions.
B. Sandboxing traffic inspection is a feature of advanced firewall/security platforms, not Aruba Central.
C. Central does not automatically add new access rules without administrator review; instead, it provides recommendations for admins to approve.
References (HPE Aruba Networking Solutions / Study Guides):
Aruba Central Security and Policy Management ― Solution Guide
Aruba ESP Architecture and AI-Powered Security Overview
Aruba Central AI Insights and Policy Recommendations ― Technical Brief
Aruba Networking Security Simplification Study Guide

Explanation:
The correct answer is C because HPE Aruba Networking Fabric Composer is specifically designed to deliver visibility and simplified management across both physical and virtualized network fabrics in data center environments. It integrates with virtualization platforms (e.g., VMware vSphere, NSX) to extend visibility into workloads and virtual machines, alongside physical switches and fabrics. This unified visibility reduces operational complexity and ensures application performance.
Relevant extracts from HPE Aruba Networking documentation:
“Aruba Fabric Composer is an intelligent, API-driven orchestration solution that provides end-to-end visibility across physical and virtual networks.”
“It enables IT teams to understand both physical topologies and virtualized workloads, reducing blind spots in data center operations.”
“The solution integrates with VMware and container platforms, giving IT unified insight and control over hybrid infrastructures.”
Why the other options are incorrect:
A. Dynamic rerouting of traffic is a function of SD-WAN, not Fabric Composer.
B. AI-driven issue detection and recommendations are part of Aruba Central with AI Insights, not Fabric Composer.
D. Fabric Composer is focused on data center fabrics and virtualization visibility, not AP provisioning.
References (HPE Aruba Networking Solutions / Study Guides):
Aruba Fabric Composer ― Solution Overview
Aruba Data Center Networking Technical White Paper
Aruba ESP in the Data Center ― Study Guide
Aruba Fabric Composer Integration with VMware ― Technical Brief

Explanation:
The correct answer is D because Aruba Central with AI for Networking leverages machine learning and AI-powered insights to accelerate troubleshooting, provide root-cause analysis, and deliver prescriptive recommendations. This reduces the time IT staff spends on manual problem-solving, freeing them to focus on innovation and strategic initiatives.
Relevant extracts from official HPE Aruba Networking documentation:
“Aruba Central with AIOps accelerates troubleshooting by automatically identifying anomalies, pinpointing root causes, and providing prescriptive recommendations.”
“By reducing mean time to resolution (MTTR), Aruba Central enables IT teams to shift focus from reactive firefighting to proactive innovation.”
“AI Insights and AI Assist capabilities within Central simplify operations by automating repetitive tasks and providing contextual recommendations to resolve issues quickly.”
“This ensures that network performance issues are addressed before they affect users, minimizing downtime and IT overhead.”
Why the other options are incorrect:
A. ClearPass focuses on access control and policy enforcement, not AI-driven troubleshooting acceleration.
B. UXI provides valuable end-user experience monitoring but does not deliver AI-driven root cause analysis across the infrastructure.
C. Automated onboarding is not the primary driver of reducing troubleshooting time―it’s about operational AI for problem detection and resolution in Central.
References (HPE Aruba Networking Solutions / Study Guides):
Aruba Central AIOps and Troubleshooting ― Solution Overview
Aruba ESP (Edge Services Platform) ― Technical White Paper
Aruba AI Insights and AI Assist ― Product Brief
Aruba Central AI-Powered Operations ― Deployment Guide