Latest Online EC-COUNCIL 312-49v11 Practice Tests

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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Malware Forensics: This domain addresses malware investigation including controlled lab setup, static analysis, system and network behavior analysis, suspicious document examination, and ransomware investigation techniques.
Topic 2
  • Defeating Anti-Forensics Techniques: This domain teaches methods to overcome evidence hiding techniques including data recovery, file carving, partition recovery, password cracking, steganography detection, encryption handling, and program unpacking.
Topic 3
  • Investigating Web Attacks: This domain covers web application forensics including IIS and Apache log analysis, OWASP Top 10 risks, and investigation of attacks like XSS, SQL injection, path traversal, command injection, and brute-force attempts.
Topic 4
  • Linux and Mac Forensics: This domain addresses forensic methodologies for Linux and macOS systems including data collection, memory forensics, log analysis, APFS examination, and platform-specific investigation tools.
Topic 5
  • Network Forensics: This domain covers network incident investigation through traffic and log analysis, event correlation, indicators of compromise identification, SIEM usage, and wireless network attack detection and examination.
Topic 6
  • Dark Web Forensics: This domain addresses dark web investigation focusing on Tor browser artifact identification, memory dump analysis, and extracting evidence of dark web activities.
Topic 7
  • Data Acquisition and Duplication: This domain addresses live and dead acquisition techniques, eDiscovery methodologies, data acquisition formats, validation procedures, write protection, and forensic image preparation for examination.
Topic 8
  • Computer Forensics Investigation Process: This domain addresses the structured investigation phases including first response procedures, lab setup, evidence preservation, data acquisition, case analysis, documentation, reporting, and expert witness testimony.
Topic 9
  • Understanding Hard Disks and File Systems: This domain covers storage media characteristics, disk logical structures, operating system boot processes (Windows, Linux, macOS), file systems analysis, encoding standards, and examination of common file formats.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q578-Q583):

NEW QUESTION # 578
In Java, when multiple applications are launched, multiple Dalvik Virtual Machine instances occur that consume memory and time. To avoid that. Android Implements a process that enables low memory consumption and quick start-up time. What is the process called?

Answer: C


NEW QUESTION # 579
After examining artifacts from a compromised Windows workstation in a corporate espionage case in San Francisco, forensic analysts review artifacts from a compromised Windows workstation. They find that the suspect repeatedly accessed sensitive spreadsheets through a pinned Excel shortcut on the taskbar. To reconstruct usage patterns, the team examines the Jump List files associated with the application. What type of Jump List file should be examined to identify documents opened through the pinned taskbar program?

Answer: B

Explanation:
The correct answer is A because AutomaticDestinations files are the primary Jump List artifacts used to record documents opened through an application, including programs accessed from the taskbar. In this scenario, Excel is pinned to the taskbar, but the question asks which artifact type helps identify the spreadsheets opened through that program. That points to the Jump List records that store recent and frequent document usage for the application, which are found in AutomaticDestinations files. CustomDestinations are different; they are used for developer-defined or manually customized Jump List behavior and are more associated with custom pinned items or application-specific structures. AppID is not a Jump List file type at all; it is the identifier used to associate a Jump List with a specific application. A malicious LNK is also not the correct artifact category here. The CHFI v11 blueprint includes analysis of LNK files and Jump Lists under Windows artifact examination, so candidates are expected to know which artifact reveals document access history tied to user activity. For opened documents through a pinned application, AutomaticDestinations is the best forensic source.


NEW QUESTION # 580
During a late-night incident at an e-commerce site in Houston, Texas, analysts see bursts of database errors and long time-taken values in IIS logs that coincide with requests where attackers reportedly appended encoded input to the URL. To isolate and compare the exact payload strings against these spikes, which IIS W3C field should investigators parse?

Answer: D

Explanation:
The correct answer is D because the cs-uri-query field records the query portion of the requested URI, which is where appended attacker-supplied input typically appears. Microsoft's IIS W3C logging documentation identifies cs-uri-query as the URI query field used to log the query string for dynamic requests. That is exactly the field investigators need when they want to isolate payloads appended to the URL and compare them against time-taken spikes or error bursts. The other fields do not provide the actual appended payload. sc- status records the HTTP status code, cs-method records the request method such as GET or POST, and cs-uri- stem captures only the path portion without the query string. CHFI v11 includes IIS web server architecture and logs as well as investigation of SQL injection and other web-based attacks, so candidates should know that malicious parameters are often preserved in the query component. When the forensic task is to inspect the exact strings appended to the URL, the proper IIS W3C field is cs-uri-query.


NEW QUESTION # 581
In a large software development company, an investigation conducted into an incident of source code theft. The initial investigation hints at an insider being responsible. The inquiry should validate the breach, pinpoint the method of its execution and compile proof that can stand up in court. Considering the case details and the goal of the inquiry, what investigative approach should be taken that would serve best?

Answer: B


NEW QUESTION # 582
A cybersecurity analyst is tasked with investigating a series of network anomalies. They employ various event correlation approaches, including graph-based analysis to map system dependencies and neural network-based anomaly detection. Through rule-based correlation and vulnerability-based mapping, they pinpoint potential threats and prioritize response actions effectively.
Which event correlation approach involves constructing a graph with system components as nodes and their dependencies as edges?

Answer: B

Explanation:
This question aligns with CHFI v11 objectives under Procedures and Methodology, specifically event correlation and analysis techniques used to investigate complex incidents. Event correlation is essential for transforming large volumes of logs and alerts into meaningful incident narratives. CHFI v11 describes multiple correlation approaches, each suited to different investigative needs.
The graph-based approach models systems, applications, users, and network components as nodes, while relationships such as dependencies, communications, or trust relationships are represented as edges. By constructing such graphs, investigators can visualize how events propagate across interconnected systems, identify attack paths, and determine how a compromise in one component impacts others. This approach is particularly effective in analyzing lateral movement, dependency-based failures, and multi-stage attacks in enterprise environments.
Rule-based approaches rely on predefined conditions, codebook-based approaches match patterns against known attack templates, and neural network-based approaches focus on anomaly detection using machine learning. While these are valuable, only the graph-based approach explicitly represents system dependencies and relationships in a node-edge structure.
Therefore, consistent with CHFI v11 event correlation methodologies, the correct answer is Graph-Based Approach.


NEW QUESTION # 583
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