Computer Hacking Forensic Investigator (CHFI-v11) free download braindumps & 312-49v11 latest exam test

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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
Exam Duration:240 minutes
Available Languages:English
Certificate Validity Period:3 years
Real Exam Qty:150
Exam Format:Multiple Choice
Passing Score:70%
Related Certifications:CHFI
Exam Price:$550 USD
Sample Questions:EC-COUNCIL 312-49v11 Sample Questions
Exam Way:Online Proctored or In-person at a Pearson VUE testing center.
Pre Condition:It is recommended to have attended the CHFI training course or have equivalent knowledge.
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
  • 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
  • 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 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
  • 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 5
  • 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 6
  • 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 7
  • 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 8
  • 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 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.
Topic 10
  • 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 11
  • 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 12
  • Email and Social Media Forensics: This domain addresses email crime investigation including message analysis, U.S. email laws, social media activity tracking, footage extraction, and social network graph analysis.
Topic 13
  • 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 14
  • 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.

EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q72-Q77):

NEW QUESTION # 72
In a forensic examination of hard drives for digital evidence, what type of user is most likely to have the most file slack to analyze?

Answer: C


NEW QUESTION # 73
During a cloud forensics collection in a Google Cloud environment, an examiner must programmatically enumerate objects within Cloud Storage buckets and selectively retrieve artifacts for preservation. The evidence collection process must integrate directly into a Python- based workflow used for automation and repeatable acquisition tasks. How should investigators access Cloud Storage to support this type of programmatic evidence collection?

Answer: A

Explanation:
Client Libraries allow investigators to access Google Cloud Storage directly from Python code, enumerate bucket objects, and selectively download artifacts for preservation. This supports automated, repeatable forensic collection workflows without relying on manual console access.


NEW QUESTION # 74
A company's network experiences a sudden slowdown, prompting suspicion of a cyberattack.
Network administrators utilize log analysis tools to scrutinize traffic patterns and pinpoint anomalies, aiding in the detection of a distributed denial-of-service (DDoS) attack. In the described scenario, what is the primary purpose of using network log analysis tools?

Answer: A

Explanation:
According to the CHFI v11 curriculum under Network Forensics and Analyzing Network Attacks, the primary purpose of using network log analysis tools during a suspected Distributed Denial-of- Service (DDoS) attack is to identify the source and nature of the attack traffic. DDoS attacks overwhelm network resources by flooding them with a massive volume of malicious traffic originating from multiple compromised systems.
By analyzing firewall logs, IDS/IPS logs, router logs, and server access logs, investigators can detect abnormal traffic patterns such as unusually high connection rates, repeated requests from multiple IP addresses, malformed packets, or protocol misuse. These indicators help forensic investigators trace the origin of attack traffic, identify botnet behavior, determine attack vectors (e.g., SYN flood, UDP flood, HTTP flood), and assess the scope and impact of the attack.


NEW QUESTION # 75
During a cloud forensics collection in a Google Cloud environment, an examiner must programmatically enumerate objects within Cloud Storage buckets and selectively retrieve artifacts for preservation. The evidence collection process must integrate directly into a Python-based workflow used for automation and repeatable acquisition tasks. How should investigators interact with Cloud Storage to support this type of programmatic evidence collection?

Answer: A

Explanation:
The correct answer is C because Google Cloud Client Libraries are the recommended way to access Google Cloud services programmatically, and Google provides a dedicated Python client for Cloud Storage. The scenario explicitly requires integration into a Python-based workflow for automation and repeatable evidence collection, which points directly to client libraries rather than interactive tools. Google's documentation states that the Cloud Client Libraries are the recommended programmatic access method and that the Python Storage client supports interacting with Cloud Storage resources. That makes them the best fit for enumerating bucket contents, filtering objects, and selectively retrieving artifacts in a scripted forensic process. The Console is browser-based and unsuitable for automation. Google Cloud CLI can script operations, but it is command-line oriented rather than the most direct library-level integration into Python code. Cloud Storage FUSE mounts buckets as a file system, which may be useful operationally but is not the preferred answer for native programmatic collection logic. In CHFI-style cloud forensics, when the requirement is automation inside Python, Client Libraries is the strongest and most precise answer.


NEW QUESTION # 76
An international organization suffered a significant breach of its database containing sensitive customer data.
In the aftermath, the organization decided to hire an external forensic investigator. However, the company ' s board is at odds with the selection criteria for the external investigator. They ' ve asked for your advice. Given the sensitive nature of the breached data and the scale of the attack, what should be a key factor to consider when hiring an external forensic investigator?

Answer: C

Explanation:
Option C is the strongest answer because, in a major breach involving sensitive customer data and a large attack scope, the most important practical hiring factor is whether the external investigator has experience handling similar incidents . CHFI v11 emphasizes the roles and responsibilities of forensic investigators , what makes a good computer forensics investigator , and the importance of choosing personnel with the right skills and investigative capability for the case at hand.
Adherence to ethics is important, and reputation can matter, but the question asks for a key factor in the context of a high-stakes breach investigation. Experience with similar cases directly affects the investigator's ability to preserve evidence, scope the breach, handle legal sensitivity, manage cross-system analysis, and produce defensible findings efficiently. That makes it more operationally decisive than general reputation or internal-system familiarity.
Therefore, from a CHFI standpoint, the board should prioritize an external investigator with proven experience in dealing with similar cyber breach and forensic cases , as that is most likely to produce reliable, court-defensible, and technically sound results.


NEW QUESTION # 77
......

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