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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Operations and Management | 5% | - SOC components: people, processes, technology - SOC implementation and operational models - SOC fundamentals and objectives |
| Topic 2: Proactive Threat Detection | 12% | - UEBA and advanced detection methods - Threat intelligence types and sources - Threat hunting methodologies and techniques - Integrating threat intelligence into SOC workflows |
| Topic 3: Log Management | 15% | - Centralized logging architecture - Events vs incidents vs logs - Log sources, types, and collection methods - Log normalization, correlation, and retention policies |
| Topic 4: SOC for Cloud Environments | 5% | - Cloud security monitoring challenges - Cloud threat detection and response - Cloud log collection and analysis |
| Topic 5: Incident Detection with SIEM | 25% | - Data ingestion, parsing, and normalization - SIEM architecture, components, and deployment models - Correlation rules and alert generation - SIEM dashboards and reporting - Alert triage, prioritization, and false positive reduction |
| Topic 6: Incident Response | 25% | - Roles and responsibilities in incident response - Incident response lifecycle and frameworks - Containment, eradication, and recovery procedures - SOAR, EDR, XDR technologies - Documentation, reporting, and post-incident review |
| Topic 7: Forensic Investigation and Malware Analysis | 5% | - Malware types, behavior, and analysis techniques - IoC extraction and evidence handling - Digital forensics fundamentals in SOC context |
| Topic 8: Understanding Cyber Threats, IoCs, and Attack Methodology | 8% | - Attack frameworks and methodologies - Network, host, and application-level attacks - Indicators of Compromise (IoCs) and Indicators of Attack (IoAs) - Types of cyber threats and threat actors |
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NEW QUESTION # 89
Which of the following event detection techniques uses User and Entity Behavior Analytics (UEBA)?
Answer: D
Explanation:
User and Entity Behavior Analytics (UEBA) is a cybersecurity process that uses machine learning, algorithms, and statistical analyses to detect abnormal behavior of users and entities within an organization. UEBA systems analyze patterns of behavior and can identify anomalies that deviate from the norm, which could indicate a potential security threat.
Anomaly-based detection is the technique that aligns with UEBA's functionality. It contrasts with:
* Rule-based detection, which relies on predefined rules to detect threats.
* Heuristic-based detection, which uses experience-based techniques.
* Signature-based detection, which depends on known patterns or signatures of malware to identify threats.
Anomaly-based detection systems are designed to be dynamic, continuously learning and establishing what is considered normal to identify deviations. This approach is particularly effective in identifying previously unknown threats, hence its alignment with UEBA.
References: The EC-Council's Certified SOC Analyst (CSA) program covers the fundamentals of SOC operations, including incident detection with Security Information and Event Management (SIEM) and enhanced incident detection with Threat Intelligence, which encompasses the use of UEBA for anomaly detection123.
NEW QUESTION # 90
An attacker, in an attempt to exploit the vulnerability in the dynamically generated welcome page, inserted code at the end of the company's URL as follows:
http://technosoft.com.com/<script>alert("WARNING: The application has encountered an error");</script>.
Identify the attack demonstrated in the above scenario.
Answer: C
Explanation:
Explanation
NEW QUESTION # 91
Bonney's system has been compromised by a gruesome malware.
What is the primary step that is advisable to Bonney in order to contain the malware incident from spreading?
Answer: B
Explanation:
The primary step in containing a malware incident is to isolate the infected machine to prevent the malware from spreading to other systems. This can be done by disconnecting it from the network and turning it off.
This action helps to contain the incident and allows for a proper investigation without the risk of further infection or data loss.
References: The EC-Council's Certified SOC Analyst (CSA) program emphasizes the importance of quick response to security incidents, including malware infections. The training includes understanding security threats, attacks, vulnerabilities, and the appropriate responses to such incidents. The CSA program also covers the procedures for incident response, which includes the containment strategies for incidents like malware outbreaks123.
NEW QUESTION # 92
A company's SIEM is generating a high number of alerts, overwhelming the SOC team with false positives and irrelevant notifications. This reduces efficiency as analysts struggle to identify genuine incidents. To address this, the security team refines their approach by defining clear threat detection scenarios aligned with their environment and risk profile. This is expected to improve detection accuracy and streamline incident response. Which process is the team implementing?
Answer: B
Explanation:
SIEM use case management is the process of defining, implementing, tuning, and governing detection scenarios (use cases) so that alerts align with the organization's real risks and operating environment. High false positives often result from generic rules not tuned to local baselines, missing context, or unclear detection objectives. Use case management addresses this by documenting what threat is being detected, what data sources are required, what "good" vs "bad" looks like, expected false positives, severity mapping, and response actions. It includes iterative tuning: refining thresholds, adding allowlists, improving parsing
/normalization, and validating detections against real activity and test cases. "Security analytics" is a broad term that includes detections and analysis, but the question emphasizes a structured process of defining scenarios aligned to risk-use case management. IT compliance is focused on meeting regulatory requirements, not reducing alert noise through scenario design. Log forensics is deep investigation of events after the fact, not the proactive engineering process of improving detection quality. From a SOC viewpoint, mature use case management is a primary lever for reducing alert fatigue while increasing true-positive detection.
NEW QUESTION # 93
If the SIEM generates the following four alerts at the same time:
I.Firewall blocking traffic from getting into the network alerts
II.SQL injection attempt alerts
III.Data deletion attempt alerts
IV.Brute-force attempt alerts
Which alert should be given least priority as per effective alert triaging?
Answer: D
NEW QUESTION # 94
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