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| Section | Weight | Objectives |
|---|---|---|
| Incident Response and Forensics | 20% | - Digital Forensics Basics
|
| SOC Process and Workflow | 20% | - Incident Detection and Analysis
|
| Enhanced Incident Detection with Threat Intelligence | 20% | - Threat Hunting
|
| SOC Infrastructure and Threat Intelligence | 15% | - SOC Overview
|
| Data Analysis and SIEM | 25% | - SIEM Operations
|
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NEW QUESTION # 170
Which of the following tool is used to recover from web application incident?
Answer: C
NEW QUESTION # 171
An organization with a complex IT infrastructure is planning to implement a SIEM solution to improve its threat detection and response capabilities. Due to the scale and complexity of its systems, the organization opts for a phased deployment approach to ensure a smooth implementation and reduce potential risks. Which of the following should be the first phase in their SIEM deployment strategy?
Answer: B
Explanation:
The first phase should establish reliable log ingestion and storage-log management-before attempting advanced detection content or automation. A SIEM is only as effective as the data it receives. In a complex environment, initial success depends on building a stable pipeline: collecting logs from priority sources, normalizing timestamps, ensuring consistent parsing, defining retention, and validating data quality (completeness, latency, duplication, and integrity). Without this foundation, analytics will produce blind spots, false positives, and missed detections, and automation may take disruptive actions based on incomplete data. UEBA and security analytics are valuable but require sufficient historical, high-quality telemetry to build baselines and correlations. Similarly, incident response automation should come after the organization has validated detections, tuning, and operational workflows; otherwise, playbooks may amplify errors at scale. A phased approach typically starts with identifying key data sources (identity, endpoint, network, cloud), onboarding them into log management, confirming visibility and schema consistency, and only then layering detection rules, correlations, and response workflows. Therefore, setting up log management first is the correct starting phase for a low-risk, high-success SIEM deployment.
NEW QUESTION # 172
John, SOC analyst wants to monitor the attempt of process creation activities from any of their Windows endpoints.
Which of following Splunk query will help him to fetch related logs associated with process creation?
Answer: C
Explanation:
)##ComprehensiveDetailedStepbyStepExplanation:##InWindowssecurityeventlogs, EventCode4688signifiesaprocesscreationevent.TheSplunkquery'index=windowsLogName=SecurityEventCode
=4688NOT(AccountName=#)is used to fetch logs related to process creation activities. This query filters the logs to only show events where a new process has been created, which is indicated by EventCode 4688. The NOT (Account_Name=$)` part of the query excludes any events where the account name ends with a dollar sign, which typically represents a machine or service account.
References:The EC-Council's Certified SOC Analyst (CSA) program provides detailed knowledge on security operation center (SOC) operations, including log management and correlation, SIEM deployment, advanced incident detection, and incident response.The CSA course materials and study guides cover the use of Splunk for monitoring and analyzing security events, which would include the creation of such queries for process creation monitoring1 Reference: https://static1.squarespace.com/static/552092d5e4b0661088167e5c/ t/5a3187b4419202f0fb8b2dd1/1513195444728/Windows+Splunk+Logging+Cheat+Sheet+v2.2.pdf
NEW QUESTION # 173
Which of the following formula represents the risk levels?
Answer: C
Explanation:
The level of risk is typically calculated by considering the consequence (or impact) of an event and the likelihood (or probability) of its occurrence. The formula represents a fundamental risk assessment concept where risk is the product of the two factors:
* Consequence (Impact): The outcome or result if a threat does exploit a vulnerability.
* Likelihood (Probability): The chance that a given threat will exploit a vulnerability.
By multiplying these two factors, one can determine the level of risk, which helps in prioritizing risks and deciding on the appropriate level of controls and mitigation strategies.
References: The EC-Council's Certified SOC Analyst (CSA) course materials and study guides cover the concepts of risk assessment and management, which include the formula for calculating risk levels as the product of consequence and likelihood. These concepts are aligned with industry best practices and standards for security operations centers.
NEW QUESTION # 174
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 # 175
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