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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 Quick.

This describes a scenario for Amazon Lex: use Amazon Lex for building conversational interfaces. Lex provides conversational AI for chatbots and voice-enabled applications. It is not the most direct example of Amazon Quick.

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 Quick.

AWS Config resource history instead focuses on a different requirement, such as 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. It is not the primary match for the requirement described here: evaluate Region and service data-location capabilities against applicable residency requirements.

AWS Audit Manager evidence instead focuses on a different requirement, such as a compliance team needs help collecting evidence against a recurring internal control assessment. AWS Audit Manager can collect evidence for assessments but does not replace an organization's compliance decisions. It is not the primary match for the requirement described here: evaluate Region and service data-location capabilities against applicable residency requirements.

AWS KMS managed keys instead focuses on a different requirement, such as 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. It is not the primary match for the requirement described here: evaluate Region and service data-location capabilities against applicable residency requirements.

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 AWS Backup.

This describes a scenario for Amazon S3 object storage: use Amazon S3 for scalable object storage. S3 stores data as objects in buckets; it is not an attachable EC2 block device or shared POSIX file system. It is not the most direct example of AWS Backup.

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 AWS Backup.

AWS Audit Manager evidence is associated with a different use case: a compliance team needs help collecting evidence against a recurring internal control assessment. AWS Audit Manager can collect evidence for assessments but does not replace an organization's compliance decisions. The question instead focuses on a regulated company assumes AWS compliance certificates automatically satisfy every customer-specific obligation; AWS compliance shared model is the more direct match.

AWS Artifact compliance reports is associated with a different use case: an auditor asks a company for AWS third-party compliance and assurance documentation. AWS Artifact gives customers on-demand access to available AWS assurance reports and selected compliance agreements. The question instead focuses on a regulated company assumes AWS compliance certificates automatically satisfy every customer-specific obligation; AWS compliance shared model is the more direct match.

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 regulated company assumes AWS compliance certificates automatically satisfy every customer-specific obligation; AWS compliance shared model is the more direct match.

This statement is true of Amazon Aurora, which addresses a growing business wants a cloud-optimized managed relational engine compatible with MySQL or PostgreSQL. It does not explain the particular role of Amazon RDS; RDS manages selected database infrastructure work for relational workloads, while users still control database schema and access.

This statement is true of Amazon Neptune, which addresses a fraud team needs to query relationships and connections among entities. It does not explain the particular role of Amazon RDS; RDS manages selected database infrastructure work for relational workloads, while users still control database schema and access.

This statement is true of Amazon DocumentDB, which addresses an application uses a MongoDB-compatible document data model and wants a managed database. It does not explain the particular role of Amazon RDS; RDS manages selected database infrastructure work for relational workloads, while users still control database schema and access.

Automation savings instead focuses on a different requirement, such as a department repeatedly creates and deletes temporary test environments by hand. Automation can reduce manual effort and mistakes while making temporary resources easier to retire. It is not the primary match for the requirement described here: classify cloud usage-based service payments as operating spending.

Idle resource spending instead focuses on a different requirement, such as an internal testing account leaves unused compute instances running every weekend. Idle provisioned resources may continue to generate charges; matching uptime to need reduces wasted spending. It is not the primary match for the requirement described here: classify cloud usage-based service payments as operating spending.

Capital expenditure instead focuses on a different requirement, such as a company buys servers and pays the purchase cost before those servers are used. Owning servers typically requires an upfront capital investment, unlike metered cloud resource consumption. It is not the primary match for the requirement described here: classify cloud usage-based service payments as operating spending.

This outcome fits Operational Excellence pillar: The Operational Excellence pillar focuses on running and monitoring workloads effectively and improving operational processes. The stakeholder requires the more specific capability provided by Test recovery assumptions, not that separate benefit.

This outcome fits Cost Optimization pillar: Cost Optimization includes understanding expenditure, selecting cost-effective resources, and managing demand and supply. The stakeholder requires the more specific capability provided by Test recovery assumptions, not that separate benefit.

This outcome fits Design for expected change: Cloud design principles favor adaptability and continual evaluation over treating an early configuration as permanently optimal. The stakeholder requires the more specific capability provided by Test recovery assumptions, not that separate benefit.

Data sovereignty Region choice instead focuses on a different requirement, such as a government customer requires that certain datasets be stored in a specified legal jurisdiction. Region choice is a customer decision for residency compliance, subject to service availability and contractual requirements. It is not the primary match for the requirement described here: use edge locations as points near users for supported edge services.

AWS Global Accelerator instead focuses on a different requirement, such as an internet-facing app has regional endpoints and needs stable global entry points for traffic routing. Global Accelerator provides static anycast IP addresses and routes traffic over the AWS global network to healthy endpoints. It is not the primary match for the requirement described here: use edge locations as points near users for supported edge services.

Multiple AWS Regions instead focuses on a different requirement, such as a business needs a disaster recovery location outside the primary Region. Deploying across Regions can address geographic disruptions, customer latency and residency objectives at higher complexity. It is not the primary match for the requirement described here: use edge locations as points near users for supported edge services.

This statement is true of AWS Shield DDoS protection, which addresses a public application is concerned about distributed denial-of-service traffic. It does not explain the particular role of AWS Security Blog guidance; AWS's official security blog explains security topics, unlike a service that enforces network traffic filtering.

This statement is true of AWS Marketplace security software, which addresses a company wants to evaluate a third-party security product compatible with AWS workloads. It does not explain the particular role of AWS Security Blog guidance; AWS's official security blog explains security topics, unlike a service that enforces network traffic filtering.

This statement is true of AWS Trusted Advisor security checks, which addresses a small team wants to find certain common AWS account configuration risks through recommendations. It does not explain the particular role of AWS Security Blog guidance; AWS's official security blog explains security topics, unlike a service that enforces network traffic filtering.

This describes a scenario for Global reach: deploy services geographically close to international users. AWS Regions enable deployment in multiple geographies without building and operating a physical data center in each market. It is not the most direct example of Reduced infrastructure maintenance.

This describes a scenario for Elasticity: adjust allocated resources upward and downward as actual demand changes. Elasticity aligns live capacity with changing workload demand so idle peak-sized resources do not remain continuously allocated. It is not the most direct example of Reduced infrastructure maintenance.

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 Reduced infrastructure maintenance.

Amazon Inspector vulnerability findings instead focuses on a different requirement, such as an administrator wants continuous assessments of supported workloads for software vulnerabilities. Inspector identifies package and supported workload vulnerabilities; it is not a replacement for data classification. It is not the primary match for the requirement described here: use supported encrypted network connections such as TLS.

AWS Organizations governance instead focuses on a different requirement, such as a company needs centralized governance across many separate AWS accounts. Organizations groups accounts and supports policies and billing consolidation; it does not itself analyze threats. It is not the primary match for the requirement described here: use supported encrypted network connections such as TLS.

AWS Config resource history instead focuses on a different requirement, such as 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. It is not the primary match for the requirement described here: use supported encrypted network connections such as TLS.