A company's information security manager is supervising a move to AWS and wants to ensure that AWS best practices are followed. The manager has concerns about the potential misuse of AWS account root user credentials.Which of the following is an AWS best practice for using the AWS account root user credentials?
Answer(s): C
AWS best practice is to avoid using the root user for everyday tasks. The root user should only be used for specific account-level functions that require it, such as closing the account or changing root credentials. All other tasks should be performed using IAM users or roles with least privilege access.
What is the scope of a VPC within the AWS network?
Answer(s): D
A Virtual Private Cloud (VPC) is region-specific and can span all the Availability Zones within a single AWSRegion. Subnets within the VPC are created in individual Availability Zones, enabling isolation and fault tolerance within the region.
A company needs to collect and assess on-premises server and application inventory data before moving its infrastructure to AWS.Which AWS service provides this functionality?
Answer(s): B
AWS Migration Hub helps companies collect and assess on-premises server and application inventory data. It provides a centralized location to track and plan migrations to AWS, enabling a smooth and efficient migration process by analyzing application dependencies and performance.
A company runs a legacy workload in an on-premises data center. The company wants to migrate the workload to AWS. The company does not want to make any changes to the workload.Which migration strategy should the company use?
https://docs.aws.amazon.com/prescriptive-guidance/latest/large-migration-guide/migration-strategies.html
A company wants an integrated development environment (IDE) to deploy a machine learning (ML) model.Which AWS service will meet this requirement?
Amazon SageMaker Studio is an integrated development environment (IDE) specifically designed for machine learning. It provides a comprehensive suite of tools for building, training, and deploying machine learning models, making it an ideal solution for deploying ML models within a unified environment.
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