Answer: Run SageMaker training and Inference by using network Isolation.

## Detailed Explanation To meet regulatory requirements for running Amazon SageMaker jobs in an isolated environment without internet access, the optimal solution is **network isolation**. Here's why: ### Why Network Isolation (Option B) is Correct 1. **Complete Network Isolation**: Amazon SageMaker's network isolation feature allows you to run training and inference jobs within a private Virtual Private Cloud (VPC). When enabled, this configuration ensures that SageMaker instances have no internet access and can only communicate with resources within the specified VPC. 2. **Regulatory Compliance**: Many regulatory frameworks (such as HIPAA, PCI-DSS, GDPR, and financial industry regulations) require strict network segmentation and isolation for sensitive data processing. Network isolation directly addresses these requirements by preventing any external network connectivity. 3. **Technical Implementation**: When you configure SageMaker with network isolation: - Training and inference jobs run in a fully isolated environment - Outbound internet access is completely disabled - Communication is restricted to VPC resources only - You can use VPC endpoints (like S3 VPC endpoints) to access necessary AWS services without internet connectivity 4. **Security Enhancement**: This approach provides defense-in-depth by eliminating potential attack vectors from the internet, reducing the attack surface, and ensuring data remains within the controlled VPC environment. ### Why Other Options Are Less Suitable **Option A (SageMaker Experiments)**: SageMaker Experiments is a feature for organizing, tracking, and comparing machine learning experiments. While useful for managing ML workflows, it does not provide network isolation or control internet access. It's a management tool rather than a security or compliance solution. **Option C (Encrypt data at rest)**: While encryption at rest is an important security best practice and may be required by some regulations, it does not address the specific requirement for network isolation and no internet access. Data encryption protects stored data but doesn't control network connectivity during job execution. **Option D (IAM roles)**: IAM roles control permissions and access to AWS resources, which is essential for security. However, IAM roles alone cannot enforce network isolation or prevent internet access. They manage authentication and authorization but not network-level restrictions. ### Best Practice Considerations When implementing network isolation for SageMaker: 1. Configure the VPC with appropriate subnets and security groups 2. Use VPC endpoints for necessary AWS services (S3, SageMaker API, etc.) 3. Ensure all required resources (data, containers, models) are accessible within the VPC 4. Test the configuration thoroughly to verify no internet connectivity exists This approach aligns with AWS best practices for secure, compliant ML workloads in regulated environments.