Practice Library
All MCQs
Browse exam-wise, subject-wise, and country-wise MCQs with explanations.
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Correct Answer: A. That content may have been accessed or loaded
Explanation:
Cache artifacts can support conclusions about web activity.
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Correct Answer: A. Legal authority and cross-border compliance
Explanation:
Cloud investigations often involve jurisdiction and compliance concerns.
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Correct Answer: A. Use clear language and explain technical terms
Explanation:
Forensic reports should match the audience while remaining accurate.
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Correct Answer: A. Use a write blocker before imaging
Explanation:
A write blocker prevents accidental modification of the source media.
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Correct Answer: A. To prove the image matches the original
Explanation:
Matching hashes support integrity of forensic copies.
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Correct Answer: A. Volatile data such as RAM and active network connections
Explanation:
Live volatile evidence may disappear after shutdown.
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Correct Answer: A. Document the process and preserve evidence integrity.
Explanation:
Forensic work requires documentation and preservation of evidence integrity, especially when handling analysis scenario.
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Correct Answer: A. To support case-focused analysis during an investigation.
Explanation:
The purpose of analysis scenario is connected with case-focused analysis, not with altering or avoiding evidence procedures.
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Correct Answer: A. A defined investigative context used to guide evidence questions and methods.
Explanation:
Analysis scenario refers to a defined investigative context used to guide evidence questions and methods.
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Correct Answer: A. Document the process and preserve evidence integrity.
Explanation:
Forensic work requires documentation and preservation of evidence integrity, especially when handling data distribution analysis.
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Correct Answer: A. To support pattern interpretation during an investigation.
Explanation:
The purpose of data distribution analysis is connected with pattern interpretation, not with altering or avoiding evidence procedures.
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Correct Answer: A. Studying patterns, outliers, and frequency in forensic datasets.
Explanation:
Data distribution analysis refers to studying patterns, outliers, and frequency in forensic datasets.