212-89 Dumps With Exact Questions and Answers

Live data acquisition is the process of collecting volatile data from a system that is still running. Volatile data includes information stored in system memory (RAM), cache, and system and network configuration settings that are lost when the system is powered off. This method is essential for capturing data that can provide insights into the state of the system at the time of an incident, including active network connections, running processes, and the contents of memory. Marley must employ live data acquisition to ensure that this crucial and ephemeral data is not lost, which can be pivotal in understanding and responding to the incident effectively.

Explanation (cloud triage at scale):

Cloud environments generate massive telemetry across services, accounts, regions, and tenants. The limiting factor is not “more logs,” but correlation and prioritization: connecting identity events, network flows, workload behaviors, API calls, and configuration changes into a coherent incident timeline and severity assessment. Automation/orchestration (A) supports rapid triage by correlating alerts, deduplicating noise, enriching with context (asset criticality, ownership, exposure), and driving consistent playbook actions (ticket creation, isolation steps, snapshotting, token revocation) with approvals.

(B) may be overbroad and can create major outages and contractual harm; it’s containment without validated scope. (C) is premature; customer communication should be accurate and proportional, usually after initial scoping and legal review. (D) is the opposite of best practice—third-party logs can be essential (EDR, CASB, SIEM, SaaS audit logs).

So (A) is the best first step because it makes triage fast, consistent, and scalable, which is exactly what you need when log volume is the main operational barrier.

In the context of collecting physical evidence during a cyber forensic investigation, Patrick must consider items like removable media, cables, and publications. These items can contain crucial information related to the crime, such as data storage devices (USB drives, external hard drives), cables connected to potentially relevant devices, and any printed materials that might have information or clues about the incident. Open ports, services, and OS vulnerabilities, DNS information, and published name servers and web application source code, while important in digital forensics, do not constitute physical evidence in the traditional sense.