Free HP HPE2-W05 Exam Practice Questions & Explanations
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A financial services company plans to deploy IntroSpect to detect insider threats such as data exfiltration by privileged users. During the design phase, the architect must decide how to feed authentication and access data into IntroSpect to improve entity risk scoring accuracy. Which data source integration is most directly useful for correlating user identity with the specific device and IP address being used at any given time?
Active Directory provides identity context while DHCP and authentication logs provide the mapping between users, devices, and IP addresses at specific times, which is essential for accurate entity resolution and risk scoring in IntroSpect. Threat intelligence feeds add reputation context for known bad indicators but do not map identity to device/IP. Vulnerability scanner reports assess weaknesses rather than identity-device correlation, and spam filters are unrelated to this use case.
During a proof-of-concept, an analyst notices that IntroSpect has generated multiple individual alerts for a single compromised host over several days, including anomalous login times, unusual data transfer volumes, and lateral movement attempts. The analyst wants a consolidated view that correlates these related alerts into a single prioritized security incident. Which IntroSpect feature provides this capability?
IntroSpect's attack chain (kill chain) correlation feature groups related individual anomalies over time into a single incident that maps to stages of an attack, giving analysts a prioritized, consolidated view rather than isolated alerts. The Entity360 view provides a detailed profile of a single user or device but does not itself perform multi-alert correlation into an incident. Packet capture repositories store raw traffic, and retention policies govern data storage duration, neither of which correlates alerts.
A customer wants IntroSpect to automatically quarantine a device on the network the moment a high-risk anomaly is detected, without requiring any manual analyst intervention or integration with a third-party enforcement point.
True or False: Aruba IntroSpect can natively perform network enforcement actions such as quarantining a device without integrating with an external system like ClearPass or a firewall.
IntroSpect itself does not perform direct network enforcement. It detects and scores threats and then relies on integration with enforcement points such as Aruba ClearPass Policy Manager, firewalls, or SIEM/SOAR platforms to trigger actions like quarantining a device, changing VLAN assignments, or blocking access. This closed-loop enforcement model requires an external integration, so the statement is false.
An IntroSpect deployment needs to ingest NetFlow data, DHCP logs, DNS logs, and authentication logs from multiple sites to enrich entity context for analytics. Which IntroSpect component is designed to collect and normalize this data before sending it to the Analyzer for processing?
The Collector is the component that gathers data from various sources such as NetFlow, DHCP, DNS, VPN, and authentication logs, normalizes it, and forwards it to the Analyzer for behavioral analysis. The Investigation and Enforcement Center is the management and visualization console, ClearPass Policy Manager is an external context and enforcement source that can integrate with IntroSpect, and a packet capture appliance is a raw data source, not the ingestion/normalization component itself.
A security analyst is deploying Aruba IntroSpect in an enterprise network and needs to establish a baseline of normal behavior for each user and entity before high-confidence anomalies can be detected. Which IntroSpect component is primarily responsible for building and maintaining these behavioral baselines using machine learning?
The Analyzer engine applies unsupervised and supervised machine learning models to build entity and user behavioral baselines and then compares ongoing activity against those baselines to identify anomalies. The Data Store simply stores raw and processed data, the Collector ingests data from sources such as SPAN/TAP or logs, and the console is used for visualization and investigation, not for baseline modeling.