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This statement is true of Amazon EFS shared files, which addresses multiple Linux EC2 instances require a shared elastic file system supporting common file semantics. It does not explain the particular role of S3 Standard; S3 Standard is a general-purpose storage class suitable for frequently accessed objects requiring high availability.

This statement is true of S3 Glacier Deep Archive, which addresses a regulator requires long-term retention of records that will almost never be retrieved. It does not explain the particular role of S3 Standard; S3 Standard is a general-purpose storage class suitable for frequently accessed objects requiring high availability.

This statement is true of AWS Backup, which addresses a company needs centralized policies and visibility across supported AWS resource backups. It does not explain the particular role of S3 Standard; S3 Standard is a general-purpose storage class suitable for frequently accessed objects requiring high availability.

The roles are swapped. Amazon Neptune is associated with use Amazon Neptune for graph-oriented data relationships; AWS Database Migration Service instead has the role: Use AWS DMS for database transfer and applicable ongoing replication. Database Migration Service helps migrate or replicate supported databases; it is not itself an application database engine.

The roles are swapped. Amazon Redshift is associated with use Amazon Redshift for cloud data warehousing; AWS Database Migration Service instead has the role: Use AWS DMS for database transfer and applicable ongoing replication. Database Migration Service helps migrate or replicate supported databases; it is not itself an application database engine.

The roles are swapped. Amazon Aurora is associated with consider Amazon Aurora for a managed relational database compatible with supported engines; AWS Database Migration Service instead has the role: Use AWS DMS for database transfer and applicable ongoing replication. Database Migration Service helps migrate or replicate supported databases; it is not itself an application database engine.

The roles are swapped. Amazon Kinesis is associated with use Amazon Kinesis for real-time streaming data ingestion and processing use cases; AWS Glue instead has the role: Use AWS Glue for data integration, ETL and catalog features. Glue supports preparing and cataloging data; it is not the primary object storage service.

The roles are swapped. Amazon Athena is associated with use Amazon Athena for interactive SQL analysis over data in S3; AWS Glue instead has the role: Use AWS Glue for data integration, ETL and catalog features. Glue supports preparing and cataloging data; it is not the primary object storage service.

The roles are swapped. Amazon Quick is associated with use Amazon Quick for supported business intelligence and analytics experiences; AWS Glue instead has the role: Use AWS Glue for data integration, ETL and catalog features. Glue supports preparing and cataloging data; it is not the primary object storage service.

The roles are swapped. EC2 instance store is associated with use instance store for eligible ephemeral EC2 local storage; S3 Glacier Deep Archive instead has the role: Use S3 Glacier Deep Archive for very rarely accessed long-term archival data. Deep Archive prioritizes low storage cost and accepts retrieval delays, unlike immediately accessed S3 classes.

The roles are swapped. S3 Standard is associated with use S3 Standard for frequently accessed object data; S3 Glacier Deep Archive instead has the role: Use S3 Glacier Deep Archive for very rarely accessed long-term archival data. Deep Archive prioritizes low storage cost and accepts retrieval delays, unlike immediately accessed S3 classes.

The roles are swapped. Amazon EBS is associated with use Amazon EBS volumes for persistent EC2 block storage; S3 Glacier Deep Archive instead has the role: Use S3 Glacier Deep Archive for very rarely accessed long-term archival data. Deep Archive prioritizes low storage cost and accepts retrieval delays, unlike immediately accessed S3 classes.

This statement is true of Amazon Athena, which addresses an analyst needs to query data already stored in S3 using SQL without provisioning a database server. It does not explain the particular role of Amazon Rekognition; Rekognition applies pretrained computer vision to supported image and video analysis tasks.

This statement is true of Amazon Quick, which addresses a business wants dashboards and business intelligence over curated organizational data. It does not explain the particular role of Amazon Rekognition; Rekognition applies pretrained computer vision to supported image and video analysis tasks.

This statement is true of Amazon Kinesis, which addresses an application wants to capture and process a continuous stream of event records. It does not explain the particular role of Amazon Rekognition; Rekognition applies pretrained computer vision to supported image and video analysis tasks.

This outcome fits Rapid experimentation: On-demand cloud environments make experiments easier to start and stop as new ideas are evaluated. The stakeholder requires the more specific capability provided by Reduced infrastructure maintenance, not that separate benefit.

This outcome fits Elasticity: Elasticity aligns live capacity with changing workload demand so idle peak-sized resources do not remain continuously allocated. The stakeholder requires the more specific capability provided by Reduced infrastructure maintenance, not that separate benefit.

This outcome fits Fault tolerance: Fault tolerance keeps service functioning when failures happen, often through replicated or redundant components. The stakeholder requires the more specific capability provided by Reduced infrastructure maintenance, not that separate benefit.

The roles are swapped. Identity federation is associated with federate existing enterprise identities instead of issuing separate permanent credentials; IAM Access Analyzer instead has the role: Use IAM Access Analyzer to examine resource access and policy exposure. Access Analyzer helps identify access findings; it does not by itself remove the underlying excessive permissions.

The roles are swapped. Root user protection is associated with secure the root identity with MFA and avoid routine root use; IAM Access Analyzer instead has the role: Use IAM Access Analyzer to examine resource access and policy exposure. Access Analyzer helps identify access findings; it does not by itself remove the underlying excessive permissions.

The roles are swapped. Principle of least privilege is associated with grant only the permissions necessary to perform approved duties; IAM Access Analyzer instead has the role: Use IAM Access Analyzer to examine resource access and policy exposure. Access Analyzer helps identify access findings; it does not by itself remove the underlying excessive permissions.

AWS edge location is associated with a different use case: a global website wants cached content served closer to its end users. AWS edge locations support services such as CloudFront and reduce delivery distance for content or requests. The question instead focuses on an internet-facing app has regional endpoints and needs stable global entry points for traffic routing; AWS Global Accelerator is the more direct match.

AWS Region is associated with a different use case: a company is selecting a separate geographic AWS location for a workload with residency requirements. A Region is a geographically separate area containing multiple Availability Zones; customers select deployment Regions. The question instead focuses on an internet-facing app has regional endpoints and needs stable global entry points for traffic routing; AWS Global Accelerator is the more direct match.

Availability Zone is associated with a different use case: a service must use separate isolated locations within one selected AWS Region. Availability Zones are distinct locations within a Region designed to reduce shared failure risks. The question instead focuses on an internet-facing app has regional endpoints and needs stable global entry points for traffic routing; AWS Global Accelerator is the more direct match.

This describes a scenario for AWS Glue: use AWS Glue for data integration, ETL and catalog features. Glue supports preparing and cataloging data; it is not the primary object storage service. It is not the most direct example of Amazon Rekognition.

This describes a scenario for Amazon Athena: use Amazon Athena for interactive SQL analysis over data in S3. Athena is a serverless interactive query service for supported data sources such as S3. It is not the most direct example of Amazon Rekognition.

This describes a scenario for Amazon EMR: use Amazon EMR for managed big-data processing frameworks. EMR runs supported distributed analytics frameworks and is not a relational transaction service. It is not the most direct example of Amazon Rekognition.

This describes a scenario for Amazon CloudWatch monitoring: monitor metrics, logs and alarm conditions with Amazon CloudWatch. CloudWatch supplies monitoring and observability signals, not an authoritative history of every API management change. It is not the most direct example of AWS KMS.

This describes a scenario for AWS CloudTrail API auditing: record account API activity with AWS CloudTrail. CloudTrail helps audit actions performed through the console, SDK and API; it differs from performance metrics. It is not the most direct example of AWS KMS.

This describes a scenario for AWS CloudHSM hardware keys: use AWS CloudHSM to access dedicated managed hardware security modules. CloudHSM provides customer-controlled HSM capacity for supported workloads requiring hardware-backed cryptographic operations. It is not the most direct example of AWS KMS.

This describes a scenario for AWS Budgets: use AWS Budgets to track spending or usage against defined budget thresholds. Budgets supports cost and usage alerts relative to planned thresholds; it is distinct from an invoice payment processor. It is not the most direct example of AWS Cost Explorer.

This describes a scenario for AWS Pricing Calculator: use AWS Pricing Calculator for planned service cost estimates. Pricing Calculator models estimated charges from selected assumptions rather than reading an existing account's actual spending. It is not the most direct example of AWS Cost Explorer.

This describes a scenario for AWS Free Tier: review the AWS Free Tier terms and eligible service offers before launching resources. AWS Free Tier offers depend on account eligibility, service and current pricing terms; excess usage can still produce charges. It is not the most direct example of AWS Cost Explorer.