Self-service provisioning is intended to create an environment without waiting for physical equipment installation because authorized teams can provision cloud resources through APIs or a console when they are needed; in this design the new outcome is to benefit from provider-managed shared infrastructure without operating a dedicated facility, which calls for Resource pooling rather than Self-service provisioning or the earlier Managed-service operational relief.

Reduced undifferentiated heavy lifting is intended to spend less staff effort maintaining generic infrastructure components because managed AWS services take over selected operational tasks such as platform maintenance; in this design the new outcome is to benefit from provider-managed shared infrastructure without operating a dedicated facility, which calls for Resource pooling rather than Reduced undifferentiated heavy lifting or the earlier Managed-service operational relief.

Managed-service operational relief primarily supports the earlier need to avoid administering an underlying platform for a common workload because managed services move specific tasks such as database engine patching to AWS, but the new task is to benefit from provider-managed shared infrastructure without operating a dedicated facility; that is why Resource pooling is preferable here.

Design for failure addresses a different objective, to plan for individual components or zones becoming unavailable, because resilient cloud designs anticipate disruption and use isolation and recovery behavior; the checklist instead requires the distinct outcomes to help a workload recover from failures and continue functioning correctly; remove a single component whose outage would take down the whole system.

Cost optimization pillar addresses a different objective, to avoid unnecessary expenditure while achieving business outcomes, because cost optimization focuses on understanding spend and delivering value at the right cost; the checklist instead requires the distinct outcomes to help a workload recover from failures and continue functioning correctly; remove a single component whose outage would take down the whole system.

Security pillar addresses a different objective, to protect information, systems and assets using risk-aware controls, because the security pillar addresses identities, detection, infrastructure and data protection, and incident response; the checklist instead requires the distinct outcomes to help a workload recover from failures and continue functioning correctly; remove a single component whose outage would take down the whole system.

AWS Schema Conversion Tool (AWS SCT) addresses the separate need to convert database schema and code for a heterogeneous database migration because AWS SCT helps transform schema objects and certain database code between supported engines; it is not as direct as AWS Application Discovery Service for the actual requirement to collect information about on-premises servers and dependencies for migration planning.

Replatform addresses the separate need to make limited optimizations during migration without fully redesigning the application because replatforming may replace a self-managed database with a managed service while preserving most application logic; it is not as direct as AWS Application Discovery Service for the actual requirement to collect information about on-premises servers and dependencies for migration planning.

AWS CAF Platform perspective addresses the separate need to establish technical foundations for hosting and building cloud workloads because the Platform perspective addresses cloud engineering, architecture and platform capabilities; it is not as direct as AWS Application Discovery Service for the actual requirement to collect information about on-premises servers and dependencies for migration planning.

Application-level controls and appropriate configuration remain customer responsibilities; that caveat is associated more closely with Managed-service operational relief for the need to avoid administering an underlying platform for a common workload than with On-demand resource availability for the requirement to obtain computing resources when a new workload is ready to launch.

The benefit concerns speed of change, rather than fault recovery after an outage; that caveat is associated more closely with Agility for the need to experiment and deploy new ideas without a long hardware procurement cycle than with On-demand resource availability for the requirement to obtain computing resources when a new workload is ready to launch.

Unlike simply installing more hardware, capacity can shrink when it is no longer needed; that caveat is associated more closely with Elasticity for the need to increase and decrease capacity in response to changing demand than with On-demand resource availability for the requirement to obtain computing resources when a new workload is ready to launch.

AWS CAF Business perspective is intended to connect cloud adoption to business outcomes and investment decisions because the Business perspective aligns cloud initiatives with strategy, value and commercial priorities; in this design the new outcome is to structure the organizational changes needed for cloud adoption, which calls for AWS Cloud Adoption Framework (AWS CAF) rather than AWS CAF Business perspective or the earlier AWS CAF Governance perspective.

AWS CAF Governance perspective primarily supports the earlier need to manage transformation risks, priorities and portfolio decisions because the Governance perspective addresses decision-making, program oversight and value management, but the new task is to structure the organizational changes needed for cloud adoption; that is why AWS Cloud Adoption Framework (AWS CAF) is preferable here.

AWS CAF People perspective is intended to prepare the workforce and organizational culture for cloud transformation because the People perspective addresses skills, roles, workforce transformation and change management; in this design the new outcome is to structure the organizational changes needed for cloud adoption, which calls for AWS Cloud Adoption Framework (AWS CAF) rather than AWS CAF People perspective or the earlier AWS CAF Governance perspective.

That description belongs to Capital expenditure (CapEx) because capEx involves purchasing owned assets such as servers and data-center equipment before the benefits are consumed; it is used to recognize upfront infrastructure purchase as a fixed investment, not to explain how Resource tagging for accountability provides the function to attribute cloud spending to teams and projects.

That description belongs to Operating expenditure (OpEx) because opEx reflects spending as services and computing resources are consumed; it is used to treat recurring service consumption as a running operational cost, not to explain how Resource tagging for accountability provides the function to attribute cloud spending to teams and projects.

That description belongs to Savings Plans commitment because savings Plans provide discounts for qualifying usage during a commitment term; it is used to obtain eligible compute discounts in exchange for a spending commitment, not to explain how Resource tagging for accountability provides the function to attribute cloud spending to teams and projects.

That description belongs to Multi-AZ redundancy because deploying suitable redundant resources in multiple AZs isolates many facility-level failures; it is used to avoid tying service availability to one Availability Zone, not to explain how Trade-off evaluation provides the function to consider competing architectural priorities instead of optimizing one metric blindly.

That description belongs to Security pillar because the security pillar addresses identities, detection, infrastructure and data protection, and incident response; it is used to protect information, systems and assets using risk-aware controls, not to explain how Trade-off evaluation provides the function to consider competing architectural priorities instead of optimizing one metric blindly.

That description belongs to Operational excellence pillar because operational excellence focuses on delivering business value through effective operations and continuous learning; it is used to improve how teams operate, monitor and continually refine workloads, not to explain how Trade-off evaluation provides the function to consider competing architectural priorities instead of optimizing one metric blindly.

Experimentation at low initial commitment primarily supports the earlier need to test a prototype without large upfront infrastructure investment because usage-based provisioning enables limited experiments that can be shut down if unsuccessful, but the new task is to release a customer-facing capability with less infrastructure lead time; that is why Faster time to market is preferable here.

Durability is intended to reduce the likelihood of losing stored information over time because durability measures protection against permanent data loss and typically uses resilient storage design; in this design the new outcome is to release a customer-facing capability with less infrastructure lead time, which calls for Faster time to market rather than Durability or the earlier Experimentation at low initial commitment.

Fault tolerance is intended to continue operating despite an individual infrastructure component failing because fault-tolerant systems absorb failures using redundancy, isolation and suitable application behavior; in this design the new outcome is to release a customer-facing capability with less infrastructure lead time, which calls for Faster time to market rather than Fault tolerance or the earlier Experimentation at low initial commitment.

That description belongs to Retire because retirement eliminates unneeded systems from the future estate; it is used to remove an application that no longer delivers sufficient business value, not to explain how AWS CAF Business perspective provides the function to connect cloud adoption to business outcomes and investment decisions.

That description belongs to AWS CAF Governance perspective because the Governance perspective addresses decision-making, program oversight and value management; it is used to manage transformation risks, priorities and portfolio decisions, not to explain how AWS CAF Business perspective provides the function to connect cloud adoption to business outcomes and investment decisions.

That description belongs to AWS Cloud Adoption Framework (AWS CAF) because AWS CAF organizes transformation capabilities into Business, People, Governance, Platform, Security and Operations perspectives; it is used to structure the organizational changes needed for cloud adoption, not to explain how AWS CAF Business perspective provides the function to connect cloud adoption to business outcomes and investment decisions.

That description belongs to Total cost of ownership (TCO) because a TCO analysis considers hardware, software, operations, labor, facilities and cloud usage; it is used to compare the full cost of different infrastructure approaches, not to explain how Operating expenditure (OpEx) provides the function to treat recurring service consumption as a running operational cost.

That description belongs to Variable cloud costs because usage-based pricing lets spending change with resource consumption instead of requiring fixed purchased capacity; it is used to align consumption-based expense with actual usage, not to explain how Operating expenditure (OpEx) provides the function to treat recurring service consumption as a running operational cost.

That description belongs to Automation of shutdown schedules because scheduled automation can stop or remove eligible idle resources when they are not required; it is used to avoid running nonproduction compute unnecessarily, not to explain how Operating expenditure (OpEx) provides the function to treat recurring service consumption as a running operational cost.

That description belongs to Operational excellence pillar because operational excellence focuses on delivering business value through effective operations and continuous learning; it is used to improve how teams operate, monitor and continually refine workloads, not to explain how Avoid single points of failure provides the function to remove a single component whose outage would take down the whole system.

That description belongs to Security pillar because the security pillar addresses identities, detection, infrastructure and data protection, and incident response; it is used to protect information, systems and assets using risk-aware controls, not to explain how Avoid single points of failure provides the function to remove a single component whose outage would take down the whole system.

That description belongs to Infrastructure observability because useful telemetry helps teams detect performance changes and failures early; it is used to make system behavior visible through meaningful operational metrics and logs, not to explain how Avoid single points of failure provides the function to remove a single component whose outage would take down the whole system.