312-49V11 · Question #157
An organization is working to minimize the eDiscovery costs associated with the extensive analysis of large sets of electronic data. To achieve this, the organization employs advanced methodologies…
The correct answer is B. The organization uses technology-assisted review (TAR) and data reduction tools to exclude. This question aligns with CHFI v11 objectives under Computer Forensics Fundamentals and eDiscovery and Digital Evidence Management. CHFI v11 emphasizes that one of the most effective ways to reduce eDiscovery costs and timelines is through early data reduction and intelligent…
Question
An organization is working to minimize the eDiscovery costs associated with the extensive analysis of large sets of electronic data. To achieve this, the organization employs advanced methodologies and automated processes that allow them to effectively narrow down the amount of data that requires detailed examination, thus enhancing efficiency while maintaining compliance. By utilizing specific platforms and processes, the organization ensures that only the pertinent data is analyzed, and redundant data is excluded early in the workflow. Which best practice is the organization implementing to ensure efficient data examination?
Options
- AThe organization implements a data retention tool to securely dispose of data that is no longer
- BThe organization uses technology-assisted review (TAR) and data reduction tools to exclude
- CThe organization employs tools to ensure a secure chain of custody throughout the entire
- DThe organization uses data mapping tools to identify custodians and track the location of relevant
How the community answered
(65 responses)- A12% (8)
- B75% (49)
- C9% (6)
- D3% (2)
Explanation
This question aligns with CHFI v11 objectives under Computer Forensics Fundamentals and eDiscovery and Digital Evidence Management. CHFI v11 emphasizes that one of the most effective ways to reduce eDiscovery costs and timelines is through early data reduction and intelligent filtering. Organizations increasingly rely on Technology-Assisted Review (TAR), also known as predictive coding, combined with data reduction techniques such as deduplication, de- NISTing, keyword filtering, and relevance scoring. TAR leverages machine learning algorithms to identify patterns in relevant documents and automatically prioritize or exclude data that is unlikely to be responsive. This significantly reduces the volume of data requiring manual review while maintaining defensibility and compliance with legal and regulatory requirements. CHFI v11 highlights TAR as a best practice for handling large- scale electronic evidence efficiently, especially in litigation and regulatory investigations.
Topics
Community Discussion
No community discussion yet for this question.