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Answer: Provide access to the Cloud Storage file via a service account with minimal necessary permissions or a time-limited signed URL, Export the dataset's metadata and annotations into a JSONL file, including Cloud Storage URIs, and grant access to the files via a service account with minimal necessary permissions
The most secure and efficient method is to grant access to the Cloud Storage file using a service account with minimal necessary permissions or a time-limited signed URL (D), especially for external use outside of GCP, ensuring compliance with data protection regulations. Option E is also correct as it provides a detailed method for sharing dataset metadata and annotations while maintaining security and compliance. Sharing GCP account credentials (A) or using removable storage (B) poses significant security risks and may violate compliance laws. Exporting to a CSV file (C) is not suitable because it may exclude necessary data formats like annotations, which are typically in JSON format. For more details, refer to Google Cloud's documentation on exporting dataset metadata and annotations and managing access controls.
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Your company operates a large retail website and has developed multiple ML models using PyTorch, TensorFlow, and BigQueryML. After migrating to Google Cloud, you're collaborating on an international project with partners from a different organization. They need access to your Vertex AI dataset stored in Cloud Storage for analysis. The dataset includes sensitive customer information, and the partners are located in a region with strict data compliance laws. You need to ensure the solution is cost-effective, scalable, and complies with data protection regulations. What is the best approach to facilitate this? (Choose two correct options if E is available)
A
Share your GCP account credentials with them to allow direct access to the Cloud Storage bucket
B
Transfer the data to a removable storage device and send it to them via secure courier
C
Export the dataset's metadata and annotations into a CSV file for them to use, excluding any sensitive data
D
Provide access to the Cloud Storage file via a service account with minimal necessary permissions or a time-limited signed URL
E
Export the dataset's metadata and annotations into a JSONL file, including Cloud Storage URIs, and grant access to the files via a service account with minimal necessary permissions