Use Legal/licensing Requirements for Data Sources to Avoid Legal Risk GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A machine learning team at a healthcare company wants to use a dataset of patient records that was originally collected for clinical research. The dataset is available from a university repository under a data use agreement (DUA) that restricts use to non-commercial research. The company plans to use the data to develop a commercial diagnostic tool. What should they do?

   • ARequest a new data use agreement from the university that permits commercial use.
   • BAnonymize the data before using it to avoid the DUA restrictions.
   • CUse the data for internal research and then commercialize the model later, since the DUA only restricts the research phase.
   • DUse the data but do not share the model with anyone to avoid violating the DUA.
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   Which licensing type typically grants the most restrictive rights to users, often requiring explicit permission for any use beyond personal, non-commercial purposes?

   • ACreative Commons Attribution (CC BY)
   • BProprietary license
   • CPublic domain (CC0)
   • DOpen source license (e.g., MIT)
   Reveal Solution Discussion Select an answer first
4. 18application · medium

   A company wants to train a language model on a dataset of song lyrics to generate new lyrics. They found a dataset on a public repository that is licensed under Creative Commons Attribution-NonCommercial (CC BY-NC). The company plans to use the model in a commercial product. What should the company do?

   • AObtain a separate commercial license from the dataset owner or use a dataset with a commercial-friendly license.
   • BUse the dataset and argue that the model's output is transformative and not a derivative work.
   • CUse the dataset but only for internal research and not for the commercial product.
   • DUse the dataset because CC BY-NC allows sharing and adaptation, and the company will attribute the source.
   Reveal Solution Discussion Select an answer first
5. 19application · medium

   A data scientist at a retail company wants to use a dataset of customer reviews from a public API. The API's terms of service state that the data can be used for non-commercial purposes only. The company plans to use the data to improve its product recommendation engine, which is part of its commercial website. What should the data scientist do?

   • AContact the API provider to obtain a commercial license or permission to use the data.
   • BUse the data but only for internal testing, not for the production recommendation engine.
   • CUse the data and argue that the recommendation engine is not a direct use of the data but a derived model.
   • DUse the data because the API is public and the data is freely accessible.
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   A data scientist at a media company wants to use a dataset of movie reviews from a public dataset repository. The dataset is licensed under Creative Commons Zero (CC0). The company plans to use the data to train a sentiment analysis model for a commercial product. What should they do?

   • AContact the dataset creator to obtain a separate license for commercial use.
   • BUse the dataset but only for non-commercial purposes.
   • CUse the dataset but provide attribution to the dataset creator.
   • DUse the dataset without any restrictions because CC0 is a public domain dedication.
   Reveal Solution Discussion Select an answer first