Professional Cloud Security Engineer
Prepare and test your skills
Prepare and test your skills
Worked example. The correct answer is already marked and every option is explained below, so there is nothing to select here. To answer questions yourself, start the free trial.
Two independent healthcare institutions want to collaborate by training a shared predictive machine learning model using their respective proprietary clinical datasets. The collaboration has the following strict security and governance requirements:
Which Google Cloud Confidential Computing solution should be implemented to support this multi-party collaboration?
Shielded VMs with Secure Boot and vTPM
Confidential Space
Confidential VMs with AMD SEV
Confidential GKE Nodes
Confidential Space is Google Cloud's confidential computing solution designed specifically for secure multi-party data collaboration and privacy-preserving analytics. It builds on hardware-based Trusted Execution Environments (TEEs) using AMD SEV-SNP or Intel TDX to allow multiple parties to share and process sensitive data without disclosing raw data to each other or to the workload operator.
Unlike general-purpose Confidential VMs or GKE Nodes, Confidential Space is purpose-built to solve the mutual distrust dilemma in multi-party analytics by eliminating administrative OS access and enforcing hardware-attested code execution before releasing sensitive cryptographic keys.
Keep the momentum going with these hand-picked practice scenarios
Want more questions like this?
Get a free certification question every week.
Still curious? Scout, our AI tutor, can explain this concept further and answer your follow-up questions.
StudyCerts
StudyCerts