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This statement is true of Amazon ECS, which addresses an application team needs AWS-native orchestration of container workloads. It does not explain the particular role of Amazon Lightsail; Lightsail offers simple virtual server and related resource plans for common small applications and websites.

This statement is true of Compute-optimized EC2, which addresses a simulation workload spends most of its time performing CPU-intensive numerical calculations. It does not explain the particular role of Amazon Lightsail; Lightsail offers simple virtual server and related resource plans for common small applications and websites.

This statement is true of Amazon EKS, which addresses an organization wants managed Kubernetes control-plane capabilities for containerized workloads. It does not explain the particular role of Amazon Lightsail; Lightsail offers simple virtual server and related resource plans for common small applications and websites.

AWS Health Dashboard is associated with a different use case: a team wants to understand AWS service events that may affect its account or Region. AWS Health provides information about relevant service disruptions and scheduled changes; it is distinct from an application metric alarm. The question instead focuses on a company needs to open and manage a support case through its applicable AWS plan; AWS Support Center is the more direct match.

AWS re:Post is associated with a different use case: a developer wants to ask a public technical question and learn from AWS community answers. re:Post provides community questions and answers rather than guaranteed contractual support response times. The question instead focuses on a company needs to open and manage a support case through its applicable AWS plan; AWS Support Center is the more direct match.

AWS Support plans is associated with a different use case: a business wants to compare the support response options included with different AWS support tiers. Support benefits and service-level commitments depend on the chosen plan and current AWS support terms. The question instead focuses on a company needs to open and manage a support case through its applicable AWS plan; AWS Support Center is the more direct match.

On-Demand Capacity Reservations is associated with a different use case: a business needs assurance that EC2 capacity will be available in a chosen Availability Zone for a planned event. An On-Demand Capacity Reservation addresses EC2 capacity availability rather than by itself providing a commitment pricing reduction. The question instead focuses on a company compares incoming internet traffic with traffic sent from AWS to external users; AWS data transfer charges is the more direct match.

Savings Plans is associated with a different use case: a business expects steady eligible compute spending and can commit to a consistent hourly amount. Savings Plans provide discounts for covered usage in exchange for a one- or three-year commitment to an hourly spend amount. The question instead focuses on a company compares incoming internet traffic with traffic sent from AWS to external users; AWS data transfer charges is the more direct match.

Dedicated Hosts is associated with a different use case: an organization needs a physical host dedicated to its account for certain licensing or compliance needs. Dedicated Hosts supply dedicated EC2 physical server capacity with characteristics useful for supported bring-your-own-license needs. The question instead focuses on a company compares incoming internet traffic with traffic sent from AWS to external users; AWS data transfer charges is the more direct match.

S3 Intelligent-Tiering instead focuses on a different requirement, such as an organization cannot accurately predict which stored objects will be accessed often next month. Intelligent-Tiering moves eligible objects among access tiers based on usage, with monitoring and other class terms. It is not the primary match for the requirement described here: support very rarely accessed long-term archival data.

Amazon EFS shared files instead focuses on a different requirement, such as multiple Linux EC2 instances require a shared elastic file system supporting common file semantics. EFS is a managed elastic network file system for supported Linux workloads, unlike S3 object API storage. It is not the primary match for the requirement described here: support very rarely accessed long-term archival data.

AWS Backup instead focuses on a different requirement, such as a company needs centralized policies and visibility across supported AWS resource backups. AWS Backup centralizes backup administration across supported resources; it is separate from normal object lifecycle transitions. It is not the primary match for the requirement described here: support very rarely accessed long-term archival data.

On-Demand Capacity Reservations instead focuses on a different requirement, such as a business needs assurance that EC2 capacity will be available in a chosen Availability Zone for a planned event. An On-Demand Capacity Reservation addresses EC2 capacity availability rather than by itself providing a commitment pricing reduction. It is not the primary match for the requirement described here: pay for eligible compute usage without a long-term purchase commitment.

Dedicated Hosts instead focuses on a different requirement, such as an organization needs a physical host dedicated to its account for certain licensing or compliance needs. Dedicated Hosts supply dedicated EC2 physical server capacity with characteristics useful for supported bring-your-own-license needs. It is not the primary match for the requirement described here: pay for eligible compute usage without a long-term purchase commitment.

Compute commitment flexibility instead focuses on a different requirement, such as finance wants to compare flexible compute consumption with paying less under a usage commitment. Commitment options can lower qualifying compute costs, but suitability depends on sustained predictable usage and terms. It is not the primary match for the requirement described here: pay for eligible compute usage without a long-term purchase commitment.

This describes a scenario for Test recovery assumptions: exercise recovery procedures to validate assumptions. Regular recovery testing reveals gaps in backup, dependency, and restoration plans before a real disruption. It is not the most direct example of Security pillar.

This describes a scenario for Cost Optimization pillar: avoid unnecessary expense while delivering required outcomes. Cost Optimization includes understanding expenditure, selecting cost-effective resources, and managing demand and supply. It is not the most direct example of Security pillar.

This describes a scenario for Infrastructure changes as code: represent infrastructure configuration declaratively and apply repeatable changes. Infrastructure as code reduces manual drift and supports consistent, reviewable infrastructure provisioning. It is not the most direct example of Security pillar.

Encryption at rest is associated with a different use case: a business wants to protect stored information on storage volumes or objects. Encryption at rest protects stored data against certain exposure risks, not data traveling across the network. The question instead focuses on a company needs dedicated hardware security modules for particular cryptographic key requirements; AWS CloudHSM is the more direct match.

AWS Config resource history is associated with a different use case: an organization must inspect how an AWS resource configuration changed over time. AWS Config tracks supported resource configuration history and rules rather than serving as a generic application log service. The question instead focuses on a company needs dedicated hardware security modules for particular cryptographic key requirements; AWS CloudHSM is the more direct match.

Data residency considerations is associated with a different use case: a healthcare organization has contractual restrictions on the country in which records may be stored. Compliance and data-location choices remain customer decisions even when AWS operates the service infrastructure. The question instead focuses on a company needs dedicated hardware security modules for particular cryptographic key requirements; AWS CloudHSM is the more direct match.

This describes a scenario for Amazon Lightsail: use Amazon Lightsail for simplified cloud hosting. Lightsail offers simple virtual server and related resource plans for common small applications and websites. It is not the most direct example of Amazon EKS.

This describes a scenario for Storage-optimized EC2: choose an EC2 storage-optimized instance family where local storage performance is central. Storage-optimized instance families are designed for high local storage I/O and throughput needs. It is not the most direct example of Amazon EKS.

This describes a scenario for Elastic Load Balancing: use Elastic Load Balancing to distribute incoming workload traffic. Elastic Load Balancing routes requests or connections to available targets rather than relying on one application instance. It is not the most direct example of Amazon EKS.

The roles are swapped. AWS PrivateLink is associated with use AWS PrivateLink for private service connectivity from a VPC; AWS Transit Gateway instead has the role: Use AWS Transit Gateway to simplify multi-network connectivity. Transit Gateway acts as a regional routing hub for supported VPC and network attachments.

The roles are swapped. Amazon VPC is associated with use Amazon Virtual Private Cloud for customer-defined virtual networking; AWS Transit Gateway instead has the role: Use AWS Transit Gateway to simplify multi-network connectivity. Transit Gateway acts as a regional routing hub for supported VPC and network attachments.

The roles are swapped. VPC subnets is associated with use VPC subnets to divide VPC address space into smaller networks; AWS Transit Gateway instead has the role: Use AWS Transit Gateway to simplify multi-network connectivity. Transit Gateway acts as a regional routing hub for supported VPC and network attachments.

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 SageMaker AI; SageMaker AI supports building, training and deploying ML models rather than simply translating text.

This statement is true of Amazon Lex, which addresses a company wants a conversational bot that interprets user requests in a customer service channel. It does not explain the particular role of Amazon SageMaker AI; SageMaker AI supports building, training and deploying ML models rather than simply translating text.

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 SageMaker AI; SageMaker AI supports building, training and deploying ML models rather than simply translating text.

This statement is true of Amazon RDS relational database, which addresses a web application needs a managed relational database that supports SQL queries and transactions. It does not explain the particular role of Amazon Neptune; Neptune supports graph data models for workloads centered on relationships among connected entities.

This statement is true of AWS Database Migration Service, which addresses an enterprise needs help migrating data from a supported existing database to another endpoint. It does not explain the particular role of Amazon Neptune; Neptune supports graph data models for workloads centered on relationships among connected entities.

This statement is true of Amazon DynamoDB, which addresses a game needs low-latency access to large volumes of key-value player state without managing servers. It does not explain the particular role of Amazon Neptune; Neptune supports graph data models for workloads centered on relationships among connected entities.