Data Types DY0-001 Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A research team is using synthetic data to share patient health records with external collaborators. They claim the data is fully anonymized. What additional privacy consideration should they address?

   • AThe synthetic data should be shared only with collaborators who sign a non-disclosure agreement.
   • BThe synthetic data may still contain re-identification risks if the generation process overfits to the original data.
   • CThe synthetic data must be encrypted before sharing, but no other measures are needed.
   • DThe synthetic data is not subject to any privacy regulations.
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2. 27foundation · easy

   What is a key privacy consideration when using generated data?

   • AGenerated data may inadvertently contain sensitive information from system logs
   • BGenerated data must be made public to comply with regulations
   • CGenerated data is always anonymous and requires no privacy controls
   • DGenerated data is exempt from data protection regulations
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4. 28expert · hard

   A company is using a public dataset that includes user-generated content. They plan to use it to train a model. What is a key privacy consideration they should address?

   • AThe public dataset may contain personal information that requires consent or anonymization before use.
   • BPublic data is always safe to use without any privacy measures.
   • CPublic data cannot be used for machine learning.
   • DPublic data must be encrypted before use.
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5. 29expert · hard

   A company is considering using public data for a marketing analysis. The data includes social media posts that may contain personal information. What is the primary privacy consideration they must address?

   • APublic data cannot be used for commercial purposes.
   • BPublic data must be encrypted before use to ensure privacy.
   • CThe public data may still contain personal information that requires compliance with privacy regulations.
   • DPublic data is always free of privacy concerns because it is openly available.
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6. 30application · medium

   A healthcare startup needs to train a diagnostic model on rare disease images, but they have only 200 real samples. They need to expand the dataset while preserving the statistical relationships between features. Which approach should they use?

   • AUse a simple random sampling technique to generate new feature values independently.
   • BUse a generative adversarial network (GAN) to create new images that mimic the distribution of the real samples.
   • CDuplicate the existing 200 images with slight random noise added.
   • DDownload additional images from a public medical imaging repository.
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