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Eccouncil 312-39 Exam Questions
- Topic 1: Learn use cases that are widely used across the SIEM deployment/ Gain knowledge of Incident Response Process
- Topic 2: Gain hands-on experience in SIEM use case development process/ Plan, organize, and perform threat monitoring and analysis in the enterprise
- Topic 3: Understand the architecture, implementation and fine-tuning of SIEM solutions/ Gain Knowledge of SOC processes, procedures, technologies, and workflows
- Topic 4: Gain hands-on experience in the alert triaging process/ Able to prepare briefings and reports of analysis methodology and results
- Topic 5: Able to perform Security events and log collection, monitoring, and analysis/ Gain knowledge of administering SIEM solutions
- Topic 6: Able to escalate incidents to appropriate teams for additional assistance/ Able to make use of varied, disparate, constantly changing threat information
- Topic 7: Gain experience and extensive knowledge of Security Information and Event Management/ Able to monitor emerging threat patterns and perform security threat analysis
- Topic 8: Gain understating of SOC and IRT collaboration for better incident response/ Gain knowledge of the Centralized Log Management (CLM) process
- Topic 9: Able to develop threat cases (correlation rules), create reports/ Gain a basic understanding and in-depth knowledge of security threats, attacks, vulnerabilities
- Topic 10: Gain knowledge of integrating threat intelligence into SIEM/ Able to recognize attacker tools, tactics, and procedures
Free Eccouncil 312-39 Exam Actual Questions
Note: Premium Questions for 312-39 were last updated On Aug. 08, 2026 (see below)
Sarah, a financial analyst at a multinational corporation, is suspected of leaking sensitive financial data to an unauthorized external party. The SOC team observed anomalous data transfer patterns originating from her account, flagged by the SIEM, indicating potential data exfiltration. The incident response team must contain the incident swiftly to minimize data loss and protect critical assets. As a SOC analyst, which should be prioritized as the initial containment measure?
Initial containment for suspected data exfiltration by a specific user account should prioritize immediately restricting that account's ability to access and transfer data. ''Access control'' is the broad containment category that includes disabling the account, suspending sessions, revoking tokens, removing access to sensitive shares, and applying conditional access blocks. This is the fastest way to stop ongoing data loss while preserving evidence for investigation. ''Change passwords regularly'' is a general security hygiene practice, not an initial incident containment action, and it may not stop exfiltration quickly if active sessions or tokens remain valid. ''Isolate the storage'' can be appropriate if a particular repository is being actively exfiltrated, but it can be disruptive to business operations and may not address the actor's continued access paths across other systems. DCAP is a programmatic capability for monitoring and controlling data access over time; it is valuable, but it is not the immediate first step when the SOC must rapidly stop suspected exfiltration. From a SOC playbook view, the initial action is to reduce attacker/insider access immediately (account restriction), then scope what data was accessed, preserve logs, and coordinate with HR/legal for insider procedures.
A leading e-commerce company relies on backend servers for processing customer transactions. You are working with their cybersecurity team as a SOC analyst. One morning, you notice a sharp increase in CPU utilization on one of your backend servers. Your team scans and monitors the server and finds that an unknown process is running, consuming excessive resources. You further perform detailed forensic analysis and identify the presence of an unrecognized scheduled task that triggers a PowerShell script connecting to an unknown IP address. What should you do to confirm whether this is an active attack?
The strongest ''must-be-true'' confirmation for an active attack in this scenario is evidence of command-and-control (C2) or other suspicious external communication. You already have a scheduled task launching PowerShell and attempting to connect to an unknown IP address, which is a high-signal indicator of malicious automation. The fastest way to validate ongoing activity is to analyze network telemetry (firewall/proxy logs, netflow, EDR network events) to confirm whether outbound connections are occurring, how frequently, and whether data is being transferred. Network logs can reveal destination IP/port, protocols, connection success/failure, volume, and timing correlation with the scheduled task triggers. File integrity checks and system logs are useful for understanding persistence and modifications, but they may lag behind or miss short-lived network beacons. User access logs help attribute activity but do not directly confirm an active external control channel. From a SOC triage and containment perspective, confirming external connections enables immediate actions such as blocking the destination, isolating the host, and scoping for other systems contacting the same IPs/domains. Therefore, network log analysis is the most direct next step to confirm active malicious behavior.
A security team is configuring a newly deployed SIEM system. With limited resources, they must prioritize monitoring scenarios that provide the greatest security benefit. The team understands an effective SIEM relies on well-defined use cases tailored to the organization's environment. Which factor should guide their selection of use cases?
Use cases should be selected based on the availability and quality of data because detections cannot work without reliable telemetry. In SOC engineering, the first constraint is data: what sources exist, how complete they are, how quickly they arrive, and whether fields are parsable and consistent. Choosing use cases that your environment can actually support produces faster time-to-value, fewer false positives, and fewer blind spots. Prioritizing ''zero-day'' use cases is too vague and often unrealistic, because zero-days vary widely and require strong behavioral telemetry and baselines. Implementing as many use cases as possible spreads resources thin and increases noise, creating alert fatigue. Compliance-driven use cases are important, but if the underlying data is missing or poor quality, compliance rules will still fail operationally and can create a false sense of security. A mature approach is: start with high-value, high-feasibility detections that match available data (identity compromise, suspicious admin actions, endpoint malware, critical network anomalies), then expand as data coverage improves. Therefore, data availability and quality should guide initial use case selection.
SecureTech Inc. operates critical infrastructure and applications in AWS. The SOC detects suspicious activities such as unexpected API calls, unusual outbound traffic from instances, and DNS requests to potentially malicious domains. They need a fully managed AWS security service that continuously monitors for malicious activity, analyzes CloudTrail logs, VPC Flow Logs, and DNS query logs, leverages machine learning and threat intelligence, and provides actionable findings. Which AWS service best fits?
Amazon GuardDuty is the fully managed AWS threat detection service designed to analyze CloudTrail events, VPC Flow Logs, and DNS logs to identify suspicious and malicious activity. It uses threat intelligence and behavioral models to detect patterns such as unusual API calls, anomalous network connections (including known malicious destinations), and suspicious DNS activity---directly matching the scenario requirements. Macie is focused on discovering and protecting sensitive data (especially in S3) through classification and data exposure detection, not broad threat detection across API/network/DNS. AWS Config is a configuration compliance and drift monitoring service; it tracks resource configurations and policy compliance but does not provide threat detection based on network and activity logs. Security Hub aggregates and normalizes findings from multiple AWS security services and partners; it is a central view and compliance/finding management layer, but it relies on services like GuardDuty to generate threat findings. From a SOC perspective, GuardDuty provides the near-real-time detection signals the team needs, and those findings can be forwarded to SIEM/SOAR workflows for triage and response.
A SOC team notices malware-related incidents increased over the past six months, primarily targeting endpoints through phishing campaigns. They need to present a report to security leadership to justify investing in advanced email filtering and end-user security training. Which SOC report best supports their case?
A trend analysis report is designed to show how incident frequency, types, severity, and impact change over time, which is exactly what leadership needs for investment decisions. The scenario is about demonstrating an increase in malware incidents over six months and linking them to phishing as an entry vector. A trend report can quantify growth rates, highlight recurring patterns, identify peak periods, compare pre- and post-control effectiveness, and estimate business risk (downtime, remediation hours, affected users). This supports a clear business case for budget: if phishing-driven malware is increasing, investments in email filtering and user training directly address the root cause and should reduce future incident volume. A monitoring summary report may provide a snapshot but often lacks time-series depth. A real-time monitoring report focuses on current status and active alerts, not long-term justification. An incident report is typically focused on a single event and is useful for lessons learned but not for demonstrating systemic trends. From a SOC management perspective, trend analysis aligns technical evidence with strategic decisions, making it the most effective report type to support funding for preventive controls and awareness programs.
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