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This outcome fits AWS CloudFormation: CloudFormation uses templates and stacks to create and manage supported AWS resources consistently. The stakeholder requires the more specific capability provided by AWS SDKs, not that separate benefit.

This outcome fits AWS Outposts: Outposts extends supported AWS infrastructure and services to customer locations where local processing or data needs apply. The stakeholder requires the more specific capability provided by AWS SDKs, not that separate benefit.

This outcome fits AWS Management Console: The AWS Management Console is a browser-based entry point for authorized AWS account users. The stakeholder requires the more specific capability provided by AWS SDKs, not that separate benefit.

Amazon Lightsail instead focuses on a different requirement, such as a small business wants a straightforward virtual private server with bundled resources. Lightsail offers simple virtual server and related resource plans for common small applications and websites. It is not the primary match for the requirement described here: support CPU-heavy work.

Amazon EC2 virtual servers instead focuses on a different requirement, such as a software vendor needs full control of a virtual machine operating system for a legacy application. EC2 offers virtual servers with selectable instance types and customer-managed guest operating systems. It is not the primary match for the requirement described here: support CPU-heavy work.

AWS Lambda instead focuses on a different requirement, such as an online form should run short application code only when events occur without managing servers. Lambda executes event-triggered code without the customer managing underlying servers, subject to service limits. It is not the primary match for the requirement described here: support CPU-heavy work.

This describes a scenario for Amazon Macie sensitive S3 data: use Amazon Macie to detect and classify sensitive S3 data. Macie uses managed data discovery to help identify sensitive information in S3 objects, not network packet attacks. It is not the most direct example of AWS Security Hub.

This describes a scenario for AWS compliance shared model: evaluate customer controls and obligations alongside AWS's assurance documentation. AWS compliance programs cover AWS's side of applicable frameworks, while customers must evaluate and satisfy their own duties. It is not the most direct example of AWS Security Hub.

This describes a scenario for AWS Organizations governance: use AWS Organizations for multi-account governance and consolidated controls. Organizations groups accounts and supports policies and billing consolidation; it does not itself analyze threats. It is not the most direct example of AWS Security Hub.

This describes a scenario for Amazon SES: use Amazon Simple Email Service for application email delivery. SES provides email sending and related features for business application communications. It is not the most direct example of Amazon SNS.

This describes a scenario for Amazon EventBridge: use Amazon EventBridge for event bus routing and integration. EventBridge matches events against rules and directs them to supported targets. It is not the most direct example of Amazon SNS.

This describes a scenario for AWS Step Functions: use AWS Step Functions for managed workflow orchestration. Step Functions models stateful application workflows and service coordination rather than storing the business records. It is not the most direct example of Amazon SNS.

This outcome fits AWS Marketplace security software: Marketplace lets customers discover and procure partner solutions; it is not the same as an AWS native security monitoring service. The stakeholder requires the more specific capability provided by Amazon Detective, not that separate benefit.

This outcome fits AWS Resource Access Manager: AWS RAM manages sharing of eligible AWS resources with other accounts or organizational units, subject to permissions. The stakeholder requires the more specific capability provided by Amazon Detective, not that separate benefit.

This outcome fits AWS Certified security documentation: AWS official security and compliance pages provide reference material; the customer's own compliance assessment remains necessary. The stakeholder requires the more specific capability provided by Amazon Detective, not that separate benefit.

This statement is true of AWS Site-to-Site VPN, which addresses a company wants an encrypted tunnel between an office network and its AWS VPC over the internet. It does not explain the particular role of Amazon VPC; A VPC is a logically isolated virtual network in which customers can organize subnets, routes and connectivity.

This statement is true of Security groups, which addresses an EC2 workload should allow only specified inbound and outbound connections at the resource level. It does not explain the particular role of Amazon VPC; A VPC is a logically isolated virtual network in which customers can organize subnets, routes and connectivity.

This statement is true of AWS Transit Gateway, which addresses a company needs a central networking hub connecting multiple VPCs and applicable on-premises networks. It does not explain the particular role of Amazon VPC; A VPC is a logically isolated virtual network in which customers can organize subnets, routes and connectivity.

Elasticity instead focuses on a different requirement, such as an online store has unpredictable weekend traffic spikes followed by quiet weekdays. Elasticity aligns live capacity with changing workload demand so idle peak-sized resources do not remain continuously allocated. It is not the primary match for the requirement described here: plan for sustained essential operations and recovery after disruptive events.

Reduced infrastructure maintenance instead focuses on a different requirement, such as a small team prefers to focus on application features instead of replacing failed server hardware. AWS handles the facilities and underlying physical infrastructure, freeing customers from those data-center tasks. It is not the primary match for the requirement described here: plan for sustained essential operations and recovery after disruptive events.

Global reach instead focuses on a different requirement, such as a software provider wants to serve customers from multiple continents without building overseas data centers. AWS Regions enable deployment in multiple geographies without building and operating a physical data center in each market. It is not the primary match for the requirement described here: plan for sustained essential operations and recovery after disruptive events.

This outcome fits Multiple Availability Zones: Multi-AZ deployments can avoid a single-AZ failure taking down the whole application. The stakeholder requires the more specific capability provided by AWS Global Accelerator, not that separate benefit.

This outcome fits Amazon CloudFront global caching: CloudFront is AWS's content delivery network and can reduce latency by caching copies near viewers. The stakeholder requires the more specific capability provided by AWS Global Accelerator, not that separate benefit.

This outcome fits Multiple AWS Regions: Deploying across Regions can address geographic disruptions, customer latency and residency objectives at higher complexity. The stakeholder requires the more specific capability provided by AWS Global Accelerator, not that separate benefit.

Shared responsibility varies by service instead focuses on a different requirement, such as a technology leader compares the management obligations of EC2, RDS and Lambda. Responsibility depends on the service model: managing an EC2 guest OS differs from managing application code on Lambda. It is not the primary match for the requirement described here: the customer configures database users and permissions for its application data.

Customer Lambda function code instead focuses on a different requirement, such as a Lambda function processes user data using application code written by a development team. Serverless eliminates server administration for the customer, not their responsibility for their own application code and data handling. It is not the primary match for the requirement described here: the customer configures database users and permissions for its application data.

Customer S3 bucket access instead focuses on a different requirement, such as a team accidentally publishes an S3 bucket containing internal reports. AWS operates the S3 storage infrastructure, but customers configure authorized access to their buckets and objects. It is not the primary match for the requirement described here: the customer configures database users and permissions for its application data.

AWS CLI instead focuses on a different requirement, such as 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. It is not the primary match for the requirement described here: meet this requirement: a business analyst occasionally needs to view AWS resources through a browser interface.

AWS Outposts instead focuses on a different requirement, such as a manufacturer needs AWS-managed hardware and selected cloud services in its own facility. Outposts extends supported AWS infrastructure and services to customer locations where local processing or data needs apply. It is not the primary match for the requirement described here: meet this requirement: a business analyst occasionally needs to view AWS resources through a browser interface.

AWS CloudFormation instead focuses on a different requirement, such as a cloud team must define a repeatable infrastructure configuration under version control. CloudFormation uses templates and stacks to create and manage supported AWS resources consistently. It is not the primary match for the requirement described here: meet this requirement: a business analyst occasionally needs to view AWS resources through a browser interface.

This describes a scenario for Amazon Quick: use Amazon Quick for supported business intelligence and analytics experiences. Amazon Quick is the current AWS branding for business intelligence capabilities previously associated with QuickSight. It is not the most direct example of Amazon Kinesis.

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 Kinesis.

This describes a scenario for Amazon SageMaker AI: use Amazon SageMaker AI for managed machine learning development workflows. SageMaker AI supports building, training and deploying ML models rather than simply translating text. It is not the most direct example of Amazon Kinesis.