In recent years, knowledge graphs (KGs) have gained more and more importance. As a consequence of that, the number of publicly accessible KGs is increasing. Due to their adoption in many areas, KGs are used in numerous different applications. However, these knowledge graph applications are not developed by the data owners and they might collect data from several linked KGs. It is therefore essential that systems accessing KGs are certified, i.e., each component is certified for a specific use by an entity or agency. In addition, a trace of the performed operations and used data is needed in order to verify that all requirements were met, e.g., some data cannot be transferred from the source to any other component due to privacy restrictions. This work describes the vision of certified distributed querying in the context of an analytics platform. Challenges for such systems are identified and discussed. © 2023 Copyright for this paper by its authors.