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| Section | Weight | Objectives |
|---|---|---|
| Forensics | 4% | - Incident Investigation and Reporting
|
| Analyze | 38% | - Threat and Log Analysis
|
| Protect and Defend | 58% | - Security Implementation
|
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NEW QUESTION # 15
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?
Answer: D
Explanation:
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.
NEW QUESTION # 16
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?
Answer: C
Explanation:
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.
NEW QUESTION # 17
You are helping a developer create a custom NAE script for an AOS-CX switch. What information might you need to provide so the developer can define the parameters correctly?
Answer: D
Explanation:
The Aruba Network Analytics Engine (NAE) framework separates monitoring logic from operational configuration by allowing developers to write generalized Python scripts that can be instantiated into multiple distinct NAE agents.
To make an NAE script adaptable across different switch roles, access layers, or monitoring points, developers utilize the `ParameterDefinitions` dictionary within the NAE manifest. Parameters define input variables-such as specific interface identifiers, utilization thresholds, target RADIUS server IPs, or BGP autonomous system numbers-that operators configure during agent creation.
To define these parameters accurately, the developer requires input on which operational values must be adjusted on a per-agent basis. This ensures the script provides the necessary input types, default values, and validation boundaries. Actions, Solution Exchange tags, and global switch hardware limits do not govern parameter dictionary construction.
References: AOS-CX Network Analytics Engine (NAE) Developer Guide - Manifest and Parameter Definitions.
NEW QUESTION # 18
A customer operates an HPE Aruba Networking ClearPass cluster. The customer has AOS-CX switches that use 802.1X authentication with HPE Aruba Networking ClearPass Policy Manager (CPPM).
The switches use local port-access policies. The customer wants to begin tunneling wired clients that pass only user authentication to an HPE Aruba Networking gateway cluster. The gateway cluster must assign these clients the eth-internet role. The gateway must also assign the clients to VLAN 20.
The intended enforcement policy and profiles are shown below:
* Policy: `written-exam-3`
* Profile: `written-exam-b`
The gateway cluster contains two gateways with the following IP addresses:
Gateway 1: VLAN 4085 (system IP) = 10.20.4.21 | VLAN 20 (users) = 10.20.20.1 | VLAN 4094 (WAN) =
198.51.100.14
Gateway 2: VLAN 4085 (system IP) = 10.20.4.22 | VLAN 20 (users) = 10.20.20.2 | VLAN 4094 (WAN) =
198.51.100.12 | VRRP on VLAN 20 = 10.20.20.254
The customer needs high availability for tunnels between the switches and the gateway cluster. If one gateway fails, the other gateway must take over its tunnels. The switch must also be able to discover the gateway cluster even if one gateway in the cluster is unavailable.
Refer to the scenario. Assume that `myzone` is the name used for the UBT zone.
Which option is a valid minimal configuration for the AOS-CX port-access roles?
Answer: C
Explanation:
In an AOS-CX Dynamic Segmentation architecture using User-Based Tunneling (UBT) in Local VLAN / Reserved VLAN mode, the role assignment and forwarding plane are split between the switch and the gateway cluster.
When a client authenticates via 802.1X, ClearPass sends a RADIUS Access-Accept returning the AOS-CX local port-access role (e.g., `internet-only`). Within the AOS-CX role definition, the command:
`port-access role internet-only gateway-zone zone myzone gateway-role eth-internet` instructs the switch to redirect the client's traffic into the UBT tunnel bound to `myzone` and pass the gateway-role token `eth- internet` to the gateway cluster.
VLAN 20 must not be configured in the switch's local role definition (`vlan access 20`). In Local VLAN mode, the gateway terminates the GRE tunnel, assigns the client to VLAN 20, and handles Layer 3 routing and firewall filtering. Assigning VLAN 20 locally on the switch edge port creates a configuration conflict with the local UBT transport VLAN. Therefore, the minimal and accurate role configuration specifies the gateway-zone and gateway-role without local VLAN access assignment.
References: AOS-CX Port Access and User-Based Tunneling (UBT) Configuration Guide.
NEW QUESTION # 19
An organization wants an AOS-CX switch to trigger an alert when its RADIUS server (cp.acnsxtest.local) rejects an unusual number of client authentication requests each hour. After discussions with other HPE Aruba Networking administrators, you still do not know how many rejections are normal or unusual. You expect the value might differ on every switch.
You are helping the developer understand how to create an NAE script for this use case.
Refer to the scenario.
The developer explains that they intend to define the rule with logic like this: `monitor > value` However, the developer asks what value to include.
What should you recommend?
Answer: B
Explanation:
A key strength of the AOS-CX Network Analytics Engine (NAE) is dynamic anomaly detection using statistical baselining. When writing an NAE rule to alert on metrics where normal operating thresholds cannot be predicted-such as RADIUS rejection rates that vary between high-density and branch switches- hardcoding static integer values (such as 10 per hour) yields false positives or missed anomalies.
NAE provides the `Baseline` class (`aruba_cx.baseline`), which continuously learns network operational parameters over a specified learning duration (e.g., 24 hours or 7 days). The baseline tracks average rates and standard deviations for the target monitor URI (RADIUS rejects).
In the rule condition, referencing the dynamic baseline instead of a fixed integer allows the agent to evaluate deviation thresholds (e.g., `monitor > baseline.value * 1.5`). If client rejections spike abnormally relative to that specific switch's historical normal baseline, an alert is triggered automatically.
References: AOS-CX NAE Python Framework Reference - Baseline Creation and Dynamic Anomaly Detection.
NEW QUESTION # 20
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