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| Section | Weight | Objectives |
|---|---|---|
| Device Hardening | - Apply configuration best practices to reduce attack surface, disable unnecessary services, and enforce strong credential policies on network devices | |
| Troubleshooting | - Diagnose security-related connectivity issues, interpret logs and alerts, and resolve misconfigurations in production environments | |
| Forensics | - Explain CPDI capabilities for showing network conversations on supported Aruba devices - Collect, preserve, and analyze network traffic and event data to investigate security incidents and support compliance audits | |
| Threat Detection | - Recognize attack patterns, anomalies, and indicators of compromise using Aruba monitoring and analytics capabilities | |
| Secure Wired AOS-CX | - Implement port security, VLAN segmentation, and access control lists on Aruba switches to enforce network boundary controls | |
| Define security terminology | 26% | - Mitigate threats by using CPDI to identify traffic flows and apply tags and CPPM to take actions based on tags - Explain the methods and benefits of profiling - Explain Zero Trust Security with Aruba solutions - Explain VPN deployment types and IPsec concepts such as protocols, algorithms, certificate-based authentication with IKE, and reauth intervals - Explain dynamic segmentation, including its benefits and use cases - Explain WIPS and WIDS, as well as describe the Aruba 9x00 Series - Explain how Aruba solutions apply to different security vectors - Describe PKI dependencies - Describe log types and levels and use the CPPM ingress event engine to integrate with 3rd party logging solutions |
| Endpoint Classification | - Identify and categorize devices on the network using profiling rules and threat intelligence to enable role-based access policies | |
| Secure WLAN | - Configure and validate wireless security policies, encryption standards, and authentication mechanisms to protect data in transit across Aruba access points | |
| Secure the WAN | - Design WAN security architecture including VPN tunnels, encryption profiles, and traffic filtering to protect branch and remote connections |
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NEW QUESTION # 56 
The exhibit shows the 802.1X-related settings for Windows domain clients. What should admins change to make the settings follow best security practices?
Answer: B
Explanation:
To follow best security practices for 802.1X authentication settings in Windows domain clients:
* Specify at least two server names under "Connect to these servers":
* Admins should explicitly list trusted RADIUS server names (e.g., radius.example.com) to prevent the client from connecting to unauthorized or rogue servers.
* This mitigates man-in-the-middle (MITM) attacks where an attacker attempts to present their own RADIUS server.
* Select the desired Trusted Root Certificate Authority and "Don't prompt users":
* Select the Trusted Root CA that issued the RADIUS server's certificate. This ensures clients validate the correct server certificate during the EAP-TLS/PEAP authentication process.
* Enabling "Don't prompt users" ensures end users are not confused or tricked into accepting certificates from untrusted servers.
* Why the other options are incorrect:
* Option C: Incorrect. Wildcards in server names (e.g., *.example.com) weaken security and allow broader matching, increasing the risk of rogue servers.
* Option D: Incorrect. Clearing "Use simple certificate selection" requires users to select certificates manually, which can lead to errors and usability issues. Simple certificate selection is recommended when properly configured.
Recommended Settings for Best Security Practices:
* Server Validation: Specify the exact RADIUS server names in the "Connect to these servers" field.
* Root CA Validation: Ensure only the correct Trusted Root Certificate Authority is selected.
* User Prompts: Enable "Don't prompt users" to enforce automatic and secure authentication without user intervention.
NEW QUESTION # 57
Refer to the exhibit.
The exhibit shows a saved packet capture, which you have opened in Wireshark. You want to focus on the complete conversation between 10.1.70.90 and 10.1.79.11 that uses source port 5448.
What is a simple way to do this in Wireshark?
Answer: C
Explanation:
* Wireshark: Follow TCP Stream:
* Wireshark provides an intuitive feature to filter and display a complete TCP conversation.
* By right-clicking any packet within the conversation and selecting "Follow # TCP Stream", Wireshark isolates and displays the entire conversation.
* This feature allows you to view the communication in a simplified, sequential manner, including requests and responses.
* Option Analysis:
* Option A: Incorrect. Capture filters only apply during packet capturing, not for analyzing already saved packet captures.
* Option B: Incorrect. Sorting packets helps with organizing data but does not isolate a complete conversation.
* Option C: Incorrect. A capture filter for TCP port 5448 would have to be applied before capturing; it does not work for saved data.
* Option D: Correct. Right-clicking a packet and choosing "Follow TCP Stream" is the simplest way to display the full conversation between 10.1.70.90 and 10.1.79.11 on port 5448.
Steps in Wireshark to Follow a TCP Stream:
* Locate any packet within the desired conversation (e.g., between 10.1.70.90 and 10.1.79.11 on TCP port 5448).
* Right-click on the packet.
* Choose "Follow" # "TCP Stream".
* Wireshark will display the entire TCP conversation, including both directions of communication.
This feature is especially useful when troubleshooting or analyzing detailed interactions between hosts.
NEW QUESTION # 58
Refer to Exhibit.
A company is using HPE Aruba Networking ClearPass Device Insight (CPDI) (the standalone application). In the CPDI interface, you go to the Generic Devices page and see the view shown in the exhibit.
What correctly describes what you see?
Answer: A
Explanation:
In HPE Aruba Networking ClearPass Device Insight (CPDI), the clusters shown in the exhibit represent groups of unclassified devices that CPDI's machine learning algorithms have identified as having similar attributes. These clusters are formed based on observed characteristics and behaviors of the devices, helping administrators to categorize and manage devices more effectively.
1.Machine Learning: CPDI uses machine learning to analyze device attributes and group them into clusters based on similarities.
2.Unclassified Devices: These clusters typically represent devices that have not yet been explicitly classified by admins but share common attributes that suggest they belong to the same category.
3.Management: This clustering helps in simplifying the process of managing and applying policies to groups of similar devices.
Reference: ClearPass Device Insight documentation on device clustering and machine learning provides detailed information on how devices are grouped into clusters based on observed attributes and behaviors.
NEW QUESTION # 59
A company lacks visibility into the many different types of user and loT devices deployed in its internal network, making it hard for the security team to address those devices.
Which HPE Aruba Networking solution should you recommend to resolve this issue?
Answer: C
Explanation:
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.
Reference: Aruba's documentation on ClearPass Device Insight outlines its capabilities in device discovery, profiling, and security posture assessment, making it ideal for environments with diverse and numerous network-connected devices.
NEW QUESTION # 60
Refer to Exhibit.
A company is using HPE Aruba Networking ClearPass Device Insight (CPDI) (the standalone application). In the CPDI interface, you go to the Generic Devices page and see the view shown in the exhibit.
What correctly describes what you see?
Answer: C
Explanation:
In HPE Aruba Networking ClearPass Device Insight (CPDI), the clusters shown in the exhibit represent groups of unclassified devices that CPDI ' s machine learning algorithms have identified as having similar attributes. These clusters are formed based on observed characteristics and behaviors of the devices, helping administrators to categorize and manage devices more effectively.
1.Machine Learning: CPDI uses machine learning to analyze device attributes and group them into clusters based on similarities.
2.Unclassified Devices: These clusters typically represent devices that have not yet been explicitly classified by admins but share common attributes that suggest they belong to the same category.
3.Management: This clustering helps in simplifying the process of managing and applying policies to groups of similar devices.
Reference: ClearPass Device Insight documentation on device clustering and machine learning provides detailed information on how devices are grouped into clusters based on observed attributes and behaviors.
NEW QUESTION # 61
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