312-49v11 Certification Exam Guide + Practice Questions

Explanation:
According to the CHFI v11 Mobile and IoT Forensics domain, understanding cellular network technologies is essential for analyzing mobile communication behavior, data usage patterns, and call detail records (CDRs). Among the listed technologies, Long-Term Evolution (LTE) is the most suitable for high-bandwidth activities such as high-definition video streaming.
LTE, commonly referred to as 4G, is designed to deliver high data throughput, low latency, and efficient packet-switched communication. CHFI v11 highlights LTE as a broadband cellular technology capable of supporting data-intensive services such as video streaming, VoIP, online gaming, and cloud-based applications. Its use of advanced technologies like Orthogonal Frequency-Division Multiple Access (OFDMA) and Multiple Input Multiple Output (MIMO) enables stable, high-speed data transfer even in mobile environments such as trains.
The other options are legacy technologies with significantly lower data capabilities. TDMA and CDMA are earlier-generation access methods primarily optimized for voice communication. EDGE, often considered a 2.5G technology, offers limited data rates that are insufficient for consistent HD video streaming and are prone to buffering and latency issues.
From a forensic perspective, CHFI v11 also emphasizes LTE networks due to their relevance in location tracking, session analysis, IP-based communication, and data usage reconstruction. Therefore, the most suitable cellular network technology for Sarah’s high-speed streaming needs is Long-Term Evolution (LTE), making Option A the correct and CHFI v11Cverified answer.

Explanation:
According to the CHFI v11 Web Application and Linux Forensics objectives, understanding default web server configurations and log locations is essential for investigating web-based attacks. On Ubuntu systems, the Apache web server package is typically installed as apache2, and its primary configuration file is located at /etc/apache2/apache2.conf.
This configuration file plays a central role in Apache forensics because it defines or references critical settings, including log file locations, logging formats, enabled modules, virtual host configurations, and included configuration directories (such as sites-enabled and conf-enabled). The actual access and error logs are usually stored in /var/log/apache2/access.log and /var/log/apache2/error.log, but the paths to these logs are defined or confirmed through the apache2.conf file and its included configuration files.
The other options are incorrect in the context of Ubuntu. Paths such as /etc/httpd/conf/httpd.conf and /var/log/httpd/ are associated with Red HatCbased distributions like CentOS and RHEL, not Ubuntu. The path /usr/local/etc/apache22/httpd.conf is typically seen in BSD-based systems or custom Apache installations, not default Ubuntu deployments.
CHFI v11 emphasizes correlating Apache configuration files with access and error logs to accurately analyze attack vectors, timestamps, and source IP addresses during web application forensic investigations. Therefore, the correct and CHFI-verified answer is /etc/apache2/apache2.conf (Option D).

Explanation:
This scenario aligns with CHFI v11 objectives under Anti-Forensics Techniques, specifically data destruction and data wiping methods. The key indicator in the question is that all addressable locations on the storage device have been replaced with arbitrary characters, rendering the original data permanently unrecoverable―even using advanced forensic tools. CHFI v11 explains that this outcome is characteristic of intentional data overwriting, where original data is substituted with meaningless or random values to destroy evidentiary content.
This technique is commonly referred to as data wiping or data substitution, an anti-forensic method designed to defeat file recovery, carving, and residual data analysis. By overwriting every sector of the disk with irrelevant data patterns, the attacker ensures that neither file system metadata nor raw disk analysis can reconstruct the original files.
Encryption (Option A) preserves data but makes it unreadable, not destroyed. Magnetic degaussing
(Option B) affects magnetic media but does not result in structured arbitrary characters across all addressable locations as described. Physical destruction (Option C) would damage hardware rather than systematically overwrite data. Therefore, consistent with CHFI v11 classifications, the attacker employed data substitution through overwriting, making Option D the correct answer.

Explanation:
This question aligns directly with CHFI v11 objectives under Dark Web Forensics and Tor Browser Forensics. The Tor Browser is specifically designed to minimize persistent artifacts and anonymize user activity, which makes forensic investigations particularly challenging. CHFI v11 emphasizes that the primary objective in Tor BrowserCrelated investigations is to identify and extract residual artifacts across multiple operational states of the browser.
Investigators must analyze evidence when the Tor Browser is open, closed, and even after uninstallation, because artifacts may exist in different locations depending on the browser’s state. Memory dumps can reveal live artifacts such as email content, session data, credentials, and attachments when the browser is running. Storage analysis can uncover downloaded email attachments, cached files, and remnants left behind after normal usage or uninstallation.
CHFI v11 specifically highlights scenarios involving email forensics with Tor Browser open and closed, memory acquisition, and post-uninstallation analysis as complementary techniques rather than isolated tasks. Focusing on only one browser state would result in incomplete evidence collection. Therefore, the overarching forensic objective is to explore email artifacts and attachments across various Tor Browser states, making option B the correct and CHFI-aligned answer.

Explanation:
This question aligns with CHFI v11 objectives under Operating System Forensics, specifically Windows Registry forensics and binary data analysis. Windows registry hive files (such as SYSTEM, SOFTWARE, SAM, and NTUSER.DAT) are stored in binary format and contain valuable forensic artifacts related to user activity, program execution, persistence mechanisms, and system configuration. CHFI v11 emphasizes that forensic investigators must use tools capable of low-level binary inspection to accurately analyze these files.
Hex Workshop is a professional hex editor designed for detailed examination, interpretation, and manipulation of binary data. It allows investigators to view registry hive files at the hexadecimal level, search for specific byte patterns, validate offsets, and correlate raw binary structures with known registry data formats. This capability is essential when registry files are corrupted, partially deleted, or need manual verification beyond automated tools.
The other options are unsuitable: Camtasia is a screen recording tool, Rufus is used for creating bootable USB drives, and Dundas BI is a business intelligence and data visualization platform. None provide binary-level forensic analysis functionality. Therefore, consistent with CHFI v11 registry and binary forensic analysis practices, Hex Workshop is the most appropriate tool for examining registry files in this scenario.