EC-COUNCIL 312-39 Deutsch Prüfung, 312-39 Exam Fragen

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EC-COUNCIL 312-39 Exam Syllabus Topics:

SectionWeightObjectives
SOC Process and Workflow20%- Incident Response
  • 1. Incident Handling Process
  • 2. Reporting and Documentation
- Incident Detection and Analysis
  • 1. Log Analysis and Correlation
  • 2. SIEM Operations
SOC Infrastructure and Threat Intelligence15%- SOC Overview
  • 1. SOC Workflow and Architecture
  • 2. Introduction to SOC
- Threat Intelligence
  • 1. Cyber Threat Intelligence Types
  • 2. Threat Intelligence Feeds and Sources
Data Analysis and SIEM25%- SIEM Deployment
  • 1. Log Collection and Parsing
  • 2. SIEM Architecture
- SIEM Operations
  • 1. Dashboards and Reporting
  • 2. Rule Creation and Correlation
Incident Response and Forensics20%- Incident Response Planning
  • 1. Response Strategies
  • 2. Containment and Eradication
- Digital Forensics Basics
  • 1. Chain of Custody
  • 2. Forensic Investigation Process
Enhanced Incident Detection with Threat Intelligence20%- Threat Hunting
  • 1. Proactive Threat Hunting Techniques
  • 2. Indicator of Compromise (IoC) Analysis
- Incident Investigation
  • 1. Malware Analysis Basics
  • 2. Evidence Collection

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EC-COUNCIL 312-39 Exam Fragen, 312-39 Prüfungsaufgaben

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EC-COUNCIL Certified SOC Analyst (CSA) 312-39 Prüfungsfragen mit Lösungen (Q191-Q196):

191. Frage
A large web hosting service provider, Web4Everyone, hosts multiple major websites and platforms. You are a Level 1 SOC analyst responsible for investigating web server logs for potential malicious activity. Recently, your team detected multiple failed login attempts and unusual traffic patterns targeting the company's web application. To efficiently analyze the logs and identify key details such as remote host, username, timestamp, requested resource, HTTP status code, and user-agent, you need a structured log format that ensures quick and accurate parsing. Which standardized log format will you choose for this scenario?

Antwort: D

Begründung:
Extended Log Format (commonly used as "Combined" or "Extended" variants in web logging) is designed to include additional fields beyond the Common Log Format baseline, such as referrer and user-agent-both critical for SOC investigations of web attacks. CLF typically captures remote host, identity/user (if available), timestamp, request line, status code, and bytes sent, but it does not reliably include user-agent by default. The scenario explicitly requires user-agent and fast parsing across common web fields, which is exactly what extended formats provide: richer context in a predictable structure without needing custom parsing rules for every environment. JSON is highly flexible and can be excellent for structured logging, but it is not the classic
"standardized web server log format" typically referenced when discussing remote host, request, status, and user-agent in a single line structure. Tab-separated is a delimiter style, not a standard web server format. From a SOC perspective, having user-agent and related HTTP metadata is essential for identifying automated tooling, bot patterns, scanner signatures, and suspicious client behaviors, and extended web log formats enable faster triage and correlation in SIEM and log analytics tools.


192. Frage
Which of the following event detection techniques uses User and Entity Behavior Analytics (UEBA)?

Antwort: C

Begründung:
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 orsignatures 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.


193. Frage
You are working at Tech Solutions, a global technology firm. Your team detects an adversary attempting to bypass authentication controls and escalate privileges within the enterprise network. To counter the threat, you implement credential encryption, behavioral analytics, and process isolation. Your approach follows a structured framework that systematically maps defensive techniques to known adversarial tactics, allowing you to anticipate and mitigate evolving cyber threats. Which framework did you choose to apply in this scenario?

Antwort: A

Begründung:
MITRE D3FEND is specifically designed to map defensive techniques to offensive adversary behaviors and tactics. In SOC and detection engineering, it provides a structured defensive ontology: you can identify an adversary technique (credential access, privilege escalation, defense evasion) and then select defensive countermeasures such as credential hardening, process isolation, monitoring/behavior analytics, and access control enforcement. The scenario describes a framework that "systematically maps defensive techniques to known adversarial tactics," which aligns directly with D3FEND's purpose. The other options are broader governance or maturity models rather than a defensive technique-mapping framework. Systems Security Engineering CMM and Cybersecurity Capability Maturity Models focus on process maturity and organizational capability development, not on mapping defensive controls to adversary behavior at a technique level. NIST CSF 2.0 is a high-level cybersecurity risk management framework organized around functions (govern, identify, protect, detect, respond, recover); it guides program structure but does not provide the same granular defensive technique taxonomy. Therefore, MITRE D3FEND is the correct choice for a structured, technique-to-defense mapping approach.


194. Frage
Which of the following attack can be eradicated by converting all non-alphanumeric characters to HTML character entities before displaying the user input in search engines and forums?

Antwort: A


195. Frage
What does the HTTP status codes 1XX represents?

Antwort: D


196. Frage
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