Audio, Image, and Video Deepfakes GOAA Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A security operations center is evaluating tools to detect deepfake videos in a corporate communications channel. Which tool characteristic is most important for minimizing false positives on legitimate videos?

   • AThe ability to process videos in real time.
   • BIntegration with existing security information and event management (SIEM) systems.
   • CA low false-positive rate, validated on a diverse dataset of authentic videos.
   • DA high detection rate for known deepfake techniques.
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2. 22expert · hard

   A security team is evaluating a deepfake detection tool for a high-stakes environment where both false positives and false negatives have severe consequences. Which metric should they prioritize?

   • AThe area under the ROC curve (AUC), which balances true positive and false positive rates across thresholds.
   • BThe number of deepfake techniques the tool can identify.
   • CThe detection speed on a standard GPU.
   • DThe precision at a fixed recall level of 90%.
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4. 23expert · hard

   A fraud investigator is analyzing a suspicious voice recording that is allegedly from a company executive. The recording has a low signal-to-noise ratio and was captured over a phone call. Which detection approach is most likely to yield a reliable result?

   • ACompare the recording to the executive's public speeches using a standard voice recognition API.
   • BUse a robust speaker verification system that is trained on telephone-quality audio.
   • CAsk the executive to confirm whether the voice is theirs.
   • DAnalyze the audio for spectral artifacts using a model trained on studio-quality recordings.
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5. 24foundation · easy

   Which forensic method is used to detect a deepfake by analyzing the subtle noise patterns left by the generation process?

   • AHistogram equalization
   • BError level analysis (ELA)
   • CMetadata inspection
   • DPhoto response non-uniformity (PRNU) analysis
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6. 25application · medium

   A university is teaching a course on deepfake detection. They want to give students hands-on experience with generating deepfakes to understand the artifacts. Which combination of tools would be most appropriate for a classroom setting?

   • AUse a simple video editing software to manually swap faces.
   • BUse commercial deepfake services that require payment and have usage limits.
   • CUse open-source GAN models for image generation and a text-to-speech library for audio synthesis.
   • DUse only pre-generated deepfake samples from online repositories.
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