312-49v11 Exam Assessment - Exam 312-49v11 Questions Answers

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EC-COUNCIL 312-49v11 Exam Overview:

Certification Vendor:EC-COUNCIL
Exam Name:Computer Hacking Forensic Investigator (CHFI-v11)
Exam Number:312-49v11
Passing Score:60% - 85% (varies by exam form)
Exam Format:Multiple Choice Questions (MCQ)
Exam Price:$650 USD
Exam Duration:240 minutes
Related Certifications:EC-Council Certified Security Analyst (ECSA)
Certified Ethical Hacker (CEH)
Real Exam Qty:150
Available Languages:English
Certificate Validity Period:3 years
Recommended Training:Official CHFI Training
Exam Registration:EC-Council Exam Registration
Sample Questions:EC-COUNCIL 312-49v11 Sample Questions
Exam Way:Online remote proctored or onsite at EC-Council authorized exam centers
Pre Condition:Recommended: 2 years of work experience in IT security or related field; completion of official CHFI training is highly recommended
Official Syllabus URL:https://www.eccouncil.org/train-certify/computer-hacking-forensic-investigator-chfi/

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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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 5
  • 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 6
  • 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 7
  • Computer Forensics in Today's World: This domain covers fundamentals of computer forensics including cybercrime types, investigation procedures, digital evidence handling, forensic readiness, investigator roles and responsibilities, industry standards, and legal compliance requirements.
Topic 8
  • 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 9
  • 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 10
  • 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 11
  • 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 12
  • 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 13
  • Cloud Forensics: This domain covers cloud platform forensics (AWS, Azure, Google Cloud) including data storage, logging, forensic acquisition of virtual machines, and investigation of cloud security incidents.
Topic 14
  • 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.

EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q436-Q441):

NEW QUESTION # 436
You are working as an investigator for a corporation and you have just received instructions from your manager to assist in the collection of 15 hard drives that are part of an ongoing investigation.
Your job is to complete the required evidence custody forms to properly document each piece of evidence as other members of your team collect it. Your manager instructs you to complete one multi-evidence form for the entire case and a single-evidence form for each hard drive. How will these forms be stored to help preserve the chain of custody of the case?

Answer: C


NEW QUESTION # 437
How many characters long is the fixed-length MD5 algorithm checksum of a critical system file?

Answer: B


NEW QUESTION # 438
As part of a corporate policy-violation inquiry at a creative agency in New York City, an examiner reviews artifacts within a user ' s ~/Library/Preferences/ directory to correlate activity surrounding suspicious file transfers. The examiner needs a user-specific plist that records application usage relevant to the time window under review. What artifact best supports this analysis?

Answer: C

Explanation:
The correct answer is B because com.apple.recentitems.plist is the user-level preference artifact associated with recently used items and application-related recent activity in macOS. Community and forensic references identify this plist in the user's Preferences directory as storing recent-items information that can support timeline reconstruction of user activity. This makes it the best fit when the investigator wants a user-specific plist that reflects application usage around a suspicious time window. Application Support is a directory rather than the specific plist artifact being asked for. com.apple.desktop.plist and com.apple.dock.plist may contain useful configuration or interface state, but they are not the most directly relevant source for recent-item style application usage. CHFI v11 includes macOS forensic data, log files, and directories, so candidates are expected to know where user-activity artifacts reside inside the home profile. Since the question explicitly points to ~/Library/Preferences and asks for the plist that records usage relevant to recent activity, com.apple.
recentitems.plist is the most appropriate answer.


NEW QUESTION # 439
Which Linux command when executed displays kernel ring buffers or information about device drivers loaded into the kernel?

Answer: C


NEW QUESTION # 440
In an investigation into suspected coordinated disinformation activity surrounding a local election, a forensic analyst has compiled a large dataset of social-media artifacts, including account mentions, reply chains, quote relationships, and rapid propagation paths across multiple pseudonymous profiles. Investigators require a platform that enables construction of interactive relationship graphs, application of layout algorithms to expose structural patterns, adjustment of node attributes based on influence metrics, and isolation of tightly connected clusters or anomalous bridges indicative of artificial amplification. Which tool should be selected to perform this type of network construction and structural analysis?

Answer: C

Explanation:
Gephi is used for interactive network graph visualization and structural analysis. It supports relationship graph construction, layout algorithms, node sizing or styling based on influence metrics, and detection of clusters or bridge nodes, making it suitable for analyzing coordinated social-media amplification patterns.


NEW QUESTION # 441
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