現在、多くの外資系会社はHPのHPE7-A10試験認定を持つ職員に奨励を与えます。それに、HPE7-A10試験に合格しない人々は大変なことであるでしょうか？我々のHPのHPE7-A10問題集は試験に準備する受験生にヘルプを与えます。もしあなたはHPのHPE7-A10試験に準備しているなら、弊社JpexamのHPE7-A10問題集を使ってください。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Protect and Defend | 58% | - Role-Based Access Control (RBAC)
|
| Topic 2: Analyze | 38% | - Device and Network Visibility
|
| Topic 3: Forensics | 4% | - Security Incident Investigation
|
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質問 # 17
An organization wants an AOS-CX switch to generate an alert when its RADIUS server (cp.acnsxtest.local) rejects an abnormal number of client authentication requests each hour. After discussing this with other HPE Aruba Networking administrators, you still do not know how many rejections should be considered normal or abnormal. You expect this value may vary for every switch.
You are assisting the developer with developing an NAE script for this use case.
Refer to the scenario.
You are helping a customer define an NAE script for AOS-CX switches. The script will monitor statistics from a RADIUS server configured on the switch. To future-proof the script, you want administrators to be able to choose a different hostname or IP address for the monitored RADIUS server when they create an agent from the script.
What should you recommend?
正解：C
解説：
The Aruba Network Analytics Engine (NAE) framework allows network engineers to build programmatic monitoring, troubleshooting, and alerting agents using Python-based scripts that interface directly with the AOS-CX REST database.
To make an NAE script reusable across diverse switches without modifying Python code, developers define configurable inputs using the `ParameterDefinitions` dictionary. By defining a script parameter (e.g.,
`radius_server`), administrators creating an agent via the WebUI or CLI can specify the desired RADIUS server IP or FQDN.
In the script's monitor definition, this parameter is referenced dynamically in the REST URI (e.g., `/rest/v10.04
/system/radius_servers/{}...`.format(self.params['radius_server'])). This parameterization allows administrators to instantiate multiple agents from a single static script while monitoring distinct servers per switch. Hardcoded variables, making scripts manually editable, or attempting to gather data via callbacks fail to leverage the NAE agent initialization model.
References: AOS-CX Network Analytics Engine (NAE) Guide - Script Parameterization and Resource Monitoring URIs.
質問 # 18
A customer has an AOS-10 architecture managed by HPE Aruba Networking Central. HPE Aruba Networking infrastructure devices authenticate clients through an HPE Aruba Networking ClearPass cluster.
In HPE Aruba Networking Central, you are reviewing network traffic flows for a wireless IoT device categorized as a "Raspberry Pi" client. You observe SSH traffic. You then inspect several additional wireless IoT clients and find that they are also sending SSH traffic.
Refer to the scenario.
You are assisting the customer in evaluating ways to mitigate the potential threat detected. One possible option has been identified: add a rule to the clients' AOS user role that matches SSH traffic and applies denylisting.
What is one benefit of this option?
正解：C
解説：
The Policy Enforcement Firewall (PEF) on HPE Aruba Networking gateways and APs supports dynamic client containment via the `deny-and-blacklist` (or denylist) firewall action. When an access control rule configured with the denylist action matches suspicious traffic (such as an unauthorized SSH session from an IoT endpoint), the gateway or AP immediately places the client's MAC address into the dynamic denylist cache.
While placed on the denylist, all incoming and outgoing frames from that client are dropped at the hardware radio/port level. Crucially, the denylist timer is dynamic and configurable (defaulting to 3600 seconds/1 hour, or adjustable to a shorter penalty duration). Once the penalty timer expires, the client is automatically purged from the denylist and permitted to re-associate. If administrators have remediated the host so that it no longer transmits anomalous SSH packets, the client continues normal operation without requiring manual administrative intervention in the management GUI.
References: ArubaOS PEF Architecture - Dynamic Denylisting and Firewall Rule Actions.
質問 # 19
Refer to the exhibit.
An administrator has configured a remote mirror between an AOS-CX switch and a station running a protocol analyzer. The exhibit displays a sample of the packet capture.
Packet trace details:
* Source: 10.1.147.150 - > Destination: 10.1.140.9 TCP 57427 - > 443 [SYN] Seq=0 Len=0
* Source: 10.1.147.150 - > Destination: 10.1.140.10 TCP 57427 - > 443 [SYN] Seq=0 Len=0
* Source: 10.1.147.150 - > Destination: 10.1.140.11 TCP 57427 - > 443 [SYN] Seq=0 Len=0
* Source: 10.1.147.150 - > Destination: 10.1.140.12 TCP 57427 - > 443 [SYN] Seq=0 Len=0
* Source: 10.1.147.150 - > Destination: 10.1.140.13 TCP 57427 - > 443 [SYN] Seq=0 Len=0 Packet encapsulation tree shows Generic Routing Encapsulation (Transparent Ethernet bridging).
Which characteristic is suspicious?
正解：B
解説：
The Wireshark capture illustrates a clear pattern of horizontal network scanning / host discovery. Endpoint
10.1.147.150 is systematically generating initial TCP connection requests (SYN frames) targeting a single destination service (HTTPS port 443) across sequential destination IP addresses in rapid succession (10.1.140.9, .10, .11, .12, .13, .14, etc.).
In legitimate client behavior, endpoints do not systematically iterate through consecutive IP addresses on a subnet attempting to establish SSL/TLS handshakes across identical source and destination ports within milliseconds. This behavior is indicative of automated network reconnaissance or an infected host attempting lateral movement and worm propagation.
The other technical characteristics observed in the trace are normal: TCP SYN packets routinely have a length of 0 with no payload; TCP flags (SYN=1, ACK=0) are standard for initial session handshakes; and Generic Routing Encapsulation (GRE) is expected because the administrator configured remote port mirroring (ERSPAN) on the AOS-CX switch to deliver mirrored packets to the analyzer station.
References: HPE Network Security Threat Analysis - Network Scanning Indicators and Remote Mirroring Forensics.
質問 # 20
A customer is migrating from on-premises AD to Microsoft Entra ID (Azure AD) as its only domain solution.
The customer also manages wired and wireless devices with Microsoft Endpoint Manager (Intune).
The customer wants to strengthen network-edge security. You are assisting with the design of an HPE Aruba Networking ClearPass deployment for this purpose. HPE Aruba Networking devices will authenticate wireless and wired clients to a ClearPass Policy Manager (CPPM) cluster that uses version 6.10.
The customer has several authentication requirements. Clients should pass EAP-TLS authentication only when a query to Microsoft Entra ID (Azure AD) confirms that they have accounts in Microsoft Entra ID (Azure AD). To further refine client privileges, ClearPass must also use information gathered by Intune to make access-control decisions.
Extension Configuration:
graphEndpoint: graph.microsoft.com
syncPageSize: 50
enableSyncAll: true
syncAllSchedule: "*/60 * * * *"
syncUpdatedOnly: false
syncAllOnStart: true
enableEndpointCache: true
endpointCacheTimeSeconds: 3600
enableUserGroups: false
Refer to the scenario.
The Intune extension is configured as shown in this exhibit.
The customer wants to reduce the overhead of polling information from Intune to CPPM, but requires client information to be current at least once per hour. What should you recommend?
正解：D
解説：
The ClearPass Microsoft Intune Extension synchronizes device posture, compliance status, and hardware attributes from Microsoft Graph API into ClearPass Policy Manager's local database.
In the exhibited configuration, `syncUpdatedOnly` is set to `false`, and `syncAllSchedule` is set to poll every
60 minutes (`*/60 * * * *`). With `syncUpdatedOnly` disabled, the extension executes a full synchronization on every hourly interval, pulling the entire inventory of Intune endpoints. This generates significant network overhead, consumes excessive Graph API throttling limits, and creates unnecessary database write cycles on ClearPass.
Changing `syncUpdatedOnly` to `true` activates delta querying via the Microsoft Graph delta API. Under this setting, the extension queries and downloads only endpoint records that have changed, updated, or enrolled since the previous synchronization run. Because the synchronization schedule remains configured for once every hour, the data remains fully refreshed at least hourly while drastically reducing API calls, processing latency, and server overhead.
References: ClearPass Policy Manager 6.10 - Microsoft Intune Extension Configuration Guide.
質問 # 21
You are assisting a company with designing role-based access control policies on HPE Aruba Networking AOS-10 gateways. The security policy dictates that traffic originating from authenticated corporate user roles must be inspected statefully, allowing client-initiated outbound flows to the data center while strictly dropping any unsolicited inbound connection attempts initiated from data center servers back toward the clients.
What design principle ensures this traffic flow behavior?
正解：D
解説：
In HPE Aruba Networking AOS-10 architectures, the Policy Enforcement Firewall (PEF) is an application- aware, stateful Layer 4-7 firewall embedded directly within the datapath of gateways and access points.
When an Access Control Entry (ACE) is defined within a user role's session ACL (for example, permitting traffic with user host 10.20.1.50 svc-https permit), the PEF datapath dynamically constructs a bidirectional stateful session flow entry in its hardware session table upon observing the client's initial TCP SYN or UDP packet.
Because the firewall tracks protocol states (including TCP sequence/acknowledgment numbers and UDP pseudo-sessions), it automatically permits corresponding return traffic returning from the destination server back to the client. Crucially, this stateful tracking is unidirectional with respect to session establishment:
external hosts, including data center servers, cannot initiate new, unsolicited connections toward the client because no matching stateful session exists in the reverse direction. Engineers do not need to configure inverse rules, inspect raw TCP ACK flags, or deploy secondary firewalls, as PEF enforces this stateful isolation by default.
References: ArubaOS 10 Architecture Guide - Policy Enforcement Firewall (PEF) Stateful Processing and Session Flow Tables.
質問 # 22
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