Use Legal/licensing Requirements for Data Sources to Avoid Legal Risk GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which of the following is a potential legal risk when using a dataset that contains copyrighted images without a license for AI training?

   • ATrade secret misappropriation, because the images are not publicly known.
   • BCopyright infringement, because reproducing the images in the training process may violate the copyright holder's exclusive rights.
   • CNo legal risk if the images are used only for internal research.
   • DTrademark dilution, because the model may generate images similar to the originals.
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A data engineer at a government agency wants to use a dataset of census data to train a model for predicting population growth. The dataset is publicly available and has no explicit license. What should the data engineer do?

   • AContact the government agency to obtain a license for the data.
   • BCheck the website for terms of use or a license statement before using the data.
   • CUse the dataset but only for non-commercial purposes to be safe.
   • DUse the dataset because it is from a government agency and is public information.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   Which practice best ensures that data sourcing complies with licensing requirements when building a training dataset?

   • AUsing data from any source as long as the model is not released publicly.
   • BRemoving any copyright notices from the data before using it.
   • CRelying on the data's availability on a public website as proof of permission.
   • DUsing only datasets that are explicitly labeled with a permissive license, such as CC BY or public domain.
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5. 9application · medium

   A research team at a university is fine-tuning a model on a dataset of medical images. The images are from a public database that is licensed under Creative Commons Attribution-ShareAlike (CC BY-SA). The team plans to release their fine-tuned model as open source. What should they consider?

   • AThey can use the images freely as long as they attribute the source.
   • BThey must license their fine-tuned model under the same CC BY-SA license if it is a derivative work of the images.
   • CThey can use the images but must not release the model to avoid triggering the ShareAlike clause.
   • DThey should use a different dataset with a more permissive license to avoid any obligations.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A data team at a bank wants to use a dataset of financial news articles from a subscription service. The subscription agreement allows the bank to use the data for internal research but prohibits using it to train models that are sold to third parties. The bank plans to use the model internally to generate investment insights for its own clients. What should they do?

   • AUse the data but do not share the model with any third party.
   • BUse the data and argue that the model is not a product but a tool for internal use.
   • CContact the subscription service to confirm that internal use for model training is permitted.
   • DUse the data because the model is used internally, not sold.
   Reveal Solution Discussion Select an answer first