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Which of the following data acquisition formats consists of generic objects such as volumes, streams, and graphs with externally accessible behavior?

Group of answer choices
a. AFF
b. AFF4
c. Proprietary Format
d. Raw Format

1 Answer

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Final answer:

The correct answer to the question is b. AFF4 (Advanced Forensics Format version 4), which is designed for digital forensics. It consists of generic objects such as volumes, streams, and graphs, providing efficient and interoperable data handling with encryption and compression support.

Step-by-step explanation:

The data acquisition format in question that is described as consisting of generic objects such as volumes, streams, and graphs with externally accessible behavior is AFF4 (Advanced Forensics Format version 4). This format is designed for digital forensics and cybersecurity purposes and is an improvement over the original Advanced Forensic Format (AFF). Unlike proprietary formats that are specific to particular software or vendors, AFF4 provides flexibility and interoperability across different systems and tools. Moreover, AFF4 allows for efficient data access and storage through its use of a container-based approach that can encapsulate different types of forensic data while supporting encryption and compression.

Raw Format, another option provided, refers to a simple bit-by-bit copy of data from a source, typically a disk or memory, without additional structure or metadata, and it is not the correct answer for this question. Similarly, Proprietary Format pertains to a data structure that is unique to a specific vendor or product, which may restrict access and compatibility and is not the answer either. AFF (Advanced Forensic Format) is less common and less sophisticated than its successor AFF4, but nevertheless, it does not utilize generic objects with externally accessible behavior in the way described by AFF4.

Therefore, the correct answer to the question is b. AFF4. This format meets the criteria of employing objects such as volumes and streams that can be manipulated through externally accessible behaviors. AFF4's architecture significantly enhances forensic investigations by efficiently handling large datasets and providing the flexibility to adapt to evolving digital forensic needs.

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