312-49v11 Test Sample Online - Unparalleled Computer Hacking Forensic Investigator (CHFI-v11) Exam Experience

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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

Topic	Details
Topic 1	Windows Forensics: This domain covers Windows-specific investigation techniques including volatile and non-volatile data collection, memory and registry analysis, web browser forensics, metadata examination, and analysis of Windows artifacts like ShellBags, LNK files, and event logs.
Topic 2	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 3	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 4	IoT Forensics: This domain addresses IoT device investigation including architecture, OWASP IoT threats, forensic processes, wearable and smart device analysis, hardware-level techniques (JTAG, chip-off), and drone data extraction.
Topic 5	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 6	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 7	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 8	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.
Topic 9	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 10	Mobile Forensics: This domain covers Android and iOS forensics including device architecture, forensics processes, cellular data investigation, file system acquisition, lock bypassing, rooting jailbreaking, and mobile application analysis.
Topic 11	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.

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312-49v11 Learning Materials: Computer Hacking Forensic Investigator (CHFI-v11) - 312-49v11 Actual Lab Questions

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q74-Q79):

NEW QUESTION # 74
When should an MD5 hash check be performed when processing evidence?

A. After the evidence examination has been completed
B. Before and after evidence examination
C. Before the evidence examination has been completed
D. On an hourly basis during the evidence examination

Answer: B

NEW QUESTION # 75
Which of the following commands shows you the username and IP address used to access the system via a remote login session and the Type of client from which they are accessing the system?

A. Net config
B. Net sessions
C. Net file
D. Net share

Answer: B

NEW QUESTION # 76
Liam, a forensic investigator, is tasked with extracting information from a suspect ' s Windows 11 machine.
He needs to examine any relevant data from the Sticky Notes application, which may contain information about the suspects activities. To accomplish this, Liam decides to use Python to access the Sticky Notes database file and extract the data for analysis. Which of the following paths should Liam use to locate the Sticky Notes database file on the suspect ' s Windows 11 system?

A. C:\Users\Documents\StickyNotes.db
B. C:\Windows\System32\plum.sqlite
C. C:\Program Files\Microsoft Sticky Notes\plum.sqlite
D. C:\Users\AppData\Local\Packages\Microsoft.MicrosoftSticky Notes.8wekyb3d8bbwe\LocalState\plum.
sqlite

Answer: D

Explanation:
Option C is the correct answer because modern Windows Sticky Notes data is stored in a SQLite database named plum.sqlite within the application's package-specific LocalState path under the user profile. CHFI v11 supports this type of analysis by explicitly including Windows and Linux forensics using Python , SQLite Database Extraction , Windows File Analysis , and examination of Windows artifacts as part of operating system forensics and Python-based digital forensics.
The question specifically mentions using Python to extract application data, which aligns neatly with CHFI's objective of using Python in digital forensics and with analyzing application-stored databases. Since Sticky Notes persists user note content in a SQLite file rather than in System32, Program Files, or a generic Documents folder, the package-local path is the most accurate location.
The other options are not consistent with how modern Windows Store-style applications usually store their per-user state. Therefore, for CHFI-style Windows artifact analysis and SQLite extraction, the correct path is the user's Packages...\LocalState\plum.sqlite location.

NEW QUESTION # 77
Arnold, a forensic investigator, was tasked with analyzing a corporate network that was suspected of having unauthorized access points. He was particularly concerned about the possibility of rogue access points that might have been introduced by an attacker. To gain full visibility into the network and its components, Arnold employed a forensic tool that allowed him to analyze network traffic, monitor various access points for anomalies, and detect suspicious behaviors indicative of rogue devices. Arnold examined the log data provided by the tool, which gave him insights into the network's activities and helped him confirm whether any unauthorized devices were operating on the network. Which tool did Arnold employ in the above scenario?

A. Promqry
B. Security Onion
C. Time Machine
D. Freta

Answer: B

Explanation:
According to the CHFI v11 Network Forensics, Incident Detection, and SIEM objectives, Security Onion is a widely used open-source platform designed specifically for network security monitoring, intrusion detection, and forensic analysis. It integrates multiple tools such as Snort/Suricata (IDS/IPS), Zeek (Bro) for network traffic analysis, Elastic Stack, and SIEM capabilities, providing deep visibility into network activities.
In the given scenario, Arnold required a solution capable of analyzing live and stored network traffic, monitoring access points, detecting anomalies, and identifying rogue or unauthorized devices. Security Onion fulfills all these requirements by collecting and correlating logs, monitoring network behavior, and generating alerts for suspicious patterns such as unknown MAC addresses, abnormal traffic flows, and unauthorized access point activity.

NEW QUESTION # 78
What method of computer forensics will allow you to trace all ever-established user accounts on a Windows 2000 server the course of its lifetime?

A. comparison of MD5 checksums
B. analysis of volatile data
C. forensic duplication of hard drive
D. review of SIDs in the Registry

Answer: D

Explanation:
Not MD5: MD5 checksums are used as integrity checks User accounts are assigned a unique SID, and the SID are not reused.

NEW QUESTION # 79
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