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This outcome fits Dedicated Hosts: Dedicated Hosts supply dedicated EC2 physical server capacity with characteristics useful for supported bring-your-own-license needs. The stakeholder requires the more specific capability provided by EC2 Reserved Instances, not that separate benefit.

This outcome fits S3 storage-class pricing: S3 storage classes have distinct storage, retrieval and minimum-duration attributes that influence total cost. The stakeholder requires the more specific capability provided by EC2 Reserved Instances, not that separate benefit.

This outcome fits On-Demand EC2 pricing: On-Demand pricing gives flexible capacity for irregular or new workloads, generally without the discounts of eligible commitments. The stakeholder requires the more specific capability provided by EC2 Reserved Instances, not that separate benefit.

This outcome fits Amazon Quick: Amazon Quick is the current AWS branding for business intelligence capabilities previously associated with QuickSight. The stakeholder requires the more specific capability provided by Amazon SageMaker AI, not that separate benefit.

This outcome fits AWS Glue: Glue supports preparing and cataloging data; it is not the primary object storage service. The stakeholder requires the more specific capability provided by Amazon SageMaker AI, not that separate benefit.

This outcome fits Amazon EMR: EMR runs supported distributed analytics frameworks and is not a relational transaction service. The stakeholder requires the more specific capability provided by Amazon SageMaker AI, not that separate benefit.

This describes a scenario for S3 Standard storage: use S3 Standard for frequently accessed object data. S3 Standard is a general-purpose storage class suitable for frequently accessed objects requiring high availability. It is not the most direct example of Amazon S3.

This describes a scenario for S3 Standard-Infrequent Access: use S3 Standard-IA for infrequently accessed objects with rapid access needs. S3 Standard-IA has lower storage charges but access and minimum-duration considerations compared with frequently accessed classes. It is not the most direct example of Amazon S3.

This describes a scenario for Amazon EFS shared files: use Amazon Elastic File System for managed shared file storage. EFS is a managed elastic network file system for supported Linux workloads, unlike S3 object API storage. It is not the most direct example of Amazon S3.

The roles are swapped. AWS Snow Family is associated with use physical AWS data transfer devices where online transfer is impractical; AWS Migration Hub instead has the role: Track application migration progress centrally. AWS Migration Hub provides visibility into discovered applications and migration activity across supported migration tools.

The roles are swapped. Repurchasing migration is associated with replace an existing application with a different product or SaaS solution; AWS Migration Hub instead has the role: Track application migration progress centrally. AWS Migration Hub provides visibility into discovered applications and migration activity across supported migration tools.

The roles are swapped. Retaining a workload is associated with leave a selected workload in its existing environment for now; AWS Migration Hub instead has the role: Track application migration progress centrally. AWS Migration Hub provides visibility into discovered applications and migration activity across supported migration tools.

The roles are swapped. S3 Standard is associated with use S3 Standard for frequently accessed object data; S3 Intelligent-Tiering instead has the role: Use S3 Intelligent-Tiering to optimize eligible data with changing access patterns. Intelligent-Tiering moves eligible objects among access tiers based on usage, with monitoring and other class terms.

The roles are swapped. Amazon S3 is associated with use Amazon S3 for scalable object storage; S3 Intelligent-Tiering instead has the role: Use S3 Intelligent-Tiering to optimize eligible data with changing access patterns. Intelligent-Tiering moves eligible objects among access tiers based on usage, with monitoring and other class terms.

The roles are swapped. AWS Backup is associated with use AWS Backup to manage backup plans and retention for supported services; S3 Intelligent-Tiering instead has the role: Use S3 Intelligent-Tiering to optimize eligible data with changing access patterns. Intelligent-Tiering moves eligible objects among access tiers based on usage, with monitoring and other class terms.

Defense in depth is associated with a different use case: a security team wants more than a single network restriction protecting sensitive records. Defense in depth reduces dependence on a single security mechanism by using multiple complementary safeguards. The question instead focuses on an organization wants security logs available for internal investigations for a defined period; Security logging retention is the more direct match.

AWS KMS managed keys is associated with a different use case: an application team needs centralized control of encryption key use and auditability. AWS KMS manages keys and enforces key-use controls for integrated services; it is not a general database service. The question instead focuses on an organization wants security logs available for internal investigations for a defined period; Security logging retention is the more direct match.

Encryption in transit is associated with a different use case: a company wants to protect data while it moves between clients and an online service. Encryption in transit protects communications over networks; it differs from encryption of data stored on disks. The question instead focuses on an organization wants security logs available for internal investigations for a defined period; Security logging retention is the more direct match.

This describes a scenario for AWS WAF application protection: use AWS WAF to filter supported web requests. WAF acts at web request level and can help mitigate common HTTP attack patterns. It is not the most direct example of AWS Security Blog guidance.

This describes a scenario for AWS Knowledge Center: use AWS Knowledge Center articles for documented guidance. Knowledge Center provides guidance and answers; it is an information resource, not an active security enforcement tool. It is not the most direct example of AWS Security Blog guidance.

This describes a scenario for AWS Trusted Advisor security checks: review supported security recommendations in AWS Trusted Advisor. Trusted Advisor provides best-practice guidance in supported categories including security, cost and service limits. It is not the most direct example of AWS Security Blog guidance.

This describes a scenario for Pay-as-you-go consumption: pay for consumed services instead of buying hardware for the annual peak. Usage-based cloud charging can reduce upfront investment and better match cost to periods of actual consumption. It is not the most direct example of Resource pooling.

This describes a scenario for On-demand provisioning: provision capacity when requested rather than waiting for hardware ordering. AWS self-service resource provisioning reduces procurement lead time for many workloads. It is not the most direct example of Resource pooling.

This describes a scenario for Rapid experimentation: launch and remove temporary testing resources without permanent equipment purchases. On-demand cloud environments make experiments easier to start and stop as new ideas are evaluated. It is not the most direct example of Resource pooling.

The roles are swapped. Amazon DocumentDB is associated with use Amazon DocumentDB for supported MongoDB-compatible document workloads; Amazon DynamoDB instead has the role: Use Amazon DynamoDB as a managed NoSQL database. DynamoDB supports key-value and document data models and is not a general-purpose relational SQL database.

The roles are swapped. Amazon Aurora is associated with consider Amazon Aurora for a managed relational database compatible with supported engines; Amazon DynamoDB instead has the role: Use Amazon DynamoDB as a managed NoSQL database. DynamoDB supports key-value and document data models and is not a general-purpose relational SQL database.

The roles are swapped. Amazon RDS is associated with use Amazon Relational Database Service for supported relational engines; Amazon DynamoDB instead has the role: Use Amazon DynamoDB as a managed NoSQL database. DynamoDB supports key-value and document data models and is not a general-purpose relational SQL database.

AWS CLI is associated with a different use case: an operations engineer wants to run repeatable AWS service commands from a terminal script. The AWS CLI exposes AWS service operations through command-line commands suitable for controlled automation. The question instead focuses on a bank must keep some applications on its own premises while using AWS for other services; Hybrid cloud deployment is the more direct match.

AWS Management Console is associated with a different use case: a business analyst occasionally needs to view AWS resources through a browser interface. The AWS Management Console is a browser-based entry point for authorized AWS account users. The question instead focuses on a bank must keep some applications on its own premises while using AWS for other services; Hybrid cloud deployment is the more direct match.

AWS service APIs is associated with a different use case: a system needs a programmatic interface to request and manage AWS resources. AWS APIs enable programmatic service access; management consoles and SDKs are other ways to use such capabilities. The question instead focuses on a bank must keep some applications on its own premises while using AWS for other services; Hybrid cloud deployment is the more direct match.

AWS Shield DDoS protection is associated with a different use case: a public application is concerned about distributed denial-of-service traffic. Shield provides managed DDoS protection rather than classifying sensitive objects or managing IAM identities. The question instead focuses on two AWS accounts in one organization need to share supported resources without duplicating them; AWS Resource Access Manager is the more direct match.

Amazon Detective investigations is associated with a different use case: an analyst wants to investigate relationships among security findings after suspicious activity is detected. Detective correlates supported signals for investigation; GuardDuty focuses on finding potential threats. The question instead focuses on two AWS accounts in one organization need to share supported resources without duplicating them; AWS Resource Access Manager is the more direct match.

AWS Firewall Manager policy oversight is associated with a different use case: a security administrator needs consistent firewall policies across multiple AWS accounts. Firewall Manager helps manage AWS WAF, Shield and related policies across an AWS Organizations environment. The question instead focuses on two AWS accounts in one organization need to share supported resources without duplicating them; AWS Resource Access Manager is the more direct match.