AWS Application Discovery Service primarily supports the earlier need to collect information about on-premises servers and dependencies for migration planning because discovery services help inventory workloads and understand application dependencies, but the new task is to plan service availability and rollback while changing environments; that is why Business continuity during migration is preferable here.

AWS Cloud Adoption Framework (AWS CAF) is intended to structure the organizational changes needed for cloud adoption because AWS CAF organizes transformation capabilities into Business, People, Governance, Platform, Security and Operations perspectives; in this design the new outcome is to plan service availability and rollback while changing environments, which calls for Business continuity during migration rather than AWS Cloud Adoption Framework (AWS CAF) or the earlier AWS Application Discovery Service.

AWS CAF Operations perspective is intended to prepare support, monitoring and service operations for migrated workloads because the Operations perspective develops capabilities for operating workloads effectively; in this design the new outcome is to plan service availability and rollback while changing environments, which calls for Business continuity during migration rather than AWS CAF Operations perspective or the earlier AWS Application Discovery Service.

That description belongs to AWS Application Migration Service because application Migration Service supports server migration with continuous replication and automated conversion to run on AWS; it is used to replicate source servers for a largely lift-and-shift migration, not to explain how AWS Application Discovery Service provides the function to collect information about on-premises servers and dependencies for migration planning.

That description belongs to AWS Schema Conversion Tool (AWS SCT) because AWS SCT helps transform schema objects and certain database code between supported engines; it is used to convert database schema and code for a heterogeneous database migration, not to explain how AWS Application Discovery Service provides the function to collect information about on-premises servers and dependencies for migration planning.

That description belongs to AWS Migration Hub because migration Hub helps provide visibility across a portfolio's migration activity; it is used to track migration progress across applications and migration tools, not to explain how AWS Application Discovery Service provides the function to collect information about on-premises servers and dependencies for migration planning.

A scalable design does not by itself guarantee automatic scale-in when usage falls; that caveat is associated more closely with Scalability for the need to support larger workloads by adding capacity as requirements grow than with Managed-service operational relief for the requirement to avoid administering an underlying platform for a common workload.

On-demand availability does not imply that resources are free of charge; that caveat is associated more closely with On-demand resource availability for the need to obtain computing resources when a new workload is ready to launch than with Managed-service operational relief for the requirement to avoid administering an underlying platform for a common workload.

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 Managed-service operational relief for the requirement to avoid administering an underlying platform for a common workload.

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 Operations as code provides the function to apply controlled repeatable procedures to infrastructure and operations.

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 Operations as code provides the function to apply controlled repeatable procedures to infrastructure and operations.

That description belongs to Frequent improvement loops because operational feedback informs changes to processes, thresholds and automation; it is used to use incidents and measurements to continually refine cloud operations, not to explain how Operations as code provides the function to apply controlled repeatable procedures to infrastructure and operations.

Economies of scale primarily supports the earlier need to benefit from infrastructure purchasing and operations at provider scale because large cloud providers can spread infrastructure costs across broad demand and procurement volumes, but the new task is to evaluate expected financial benefit relative to an investment; that is why Return on investment (ROI) is preferable here.

Operating expenditure (OpEx) is intended to treat recurring service consumption as a running operational cost because opEx reflects spending as services and computing resources are consumed; in this design the new outcome is to evaluate expected financial benefit relative to an investment, which calls for Return on investment (ROI) rather than Operating expenditure (OpEx) or the earlier Economies of scale.

Capital expenditure (CapEx) is intended to recognize upfront infrastructure purchase as a fixed investment because capEx involves purchasing owned assets such as servers and data-center equipment before the benefits are consumed; in this design the new outcome is to evaluate expected financial benefit relative to an investment, which calls for Return on investment (ROI) rather than Capital expenditure (CapEx) or the earlier Economies of scale.

Automate recovery is intended to restore normal application behavior without waiting for routine manual intervention because automated detection and recovery reduce the time needed to handle predictable failure conditions; in this design the new outcome is to revisit resource choices as application demand evolves, which calls for Continuous performance tuning rather than Automate recovery or the earlier Vertical scaling.

Loose coupling is intended to allow application components to fail or scale with less direct dependency on each other because queues and asynchronous communication can decouple component lifecycles; in this design the new outcome is to revisit resource choices as application demand evolves, which calls for Continuous performance tuning rather than Loose coupling or the earlier Vertical scaling.

Vertical scaling primarily supports the earlier need to increase the capacity of an existing compute resource because vertical scaling changes the size or power of one instance or server, but the new task is to revisit resource choices as application demand evolves; that is why Continuous performance tuning is preferable here.

Savings Plans commitment primarily supports the earlier need to obtain eligible compute discounts in exchange for a spending commitment because savings Plans provide discounts for qualifying usage during a commitment term, but the new task is to pay for software license rights as part of an eligible cloud service charge; that is why License-included pricing is preferable here.

Operating expenditure (OpEx) is intended to treat recurring service consumption as a running operational cost because opEx reflects spending as services and computing resources are consumed; in this design the new outcome is to pay for software license rights as part of an eligible cloud service charge, which calls for License-included pricing rather than Operating expenditure (OpEx) or the earlier Savings Plans commitment.

Bring Your Own License (BYOL) is intended to reuse eligible existing software licenses under applicable provider terms because bYOL can let a customer apply eligible licenses to suitable cloud deployments; in this design the new outcome is to pay for software license rights as part of an eligible cloud service charge, which calls for License-included pricing rather than Bring Your Own License (BYOL) or the earlier Savings Plans commitment.

A scalable design does not by itself guarantee automatic scale-in when usage falls; that caveat is associated more closely with Scalability for the need to support larger workloads by adding capacity as requirements grow than with Elastic test environments for the requirement to scale test capacity up for an evaluation then stop consuming it.

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 Elastic test environments for the requirement to scale test capacity up for an evaluation then stop consuming it.

The value is limiting commitment, not guaranteeing that every design is low cost; that caveat is associated more closely with Experimentation at low initial commitment for the need to test a prototype without large upfront infrastructure investment than with Elastic test environments for the requirement to scale test capacity up for an evaluation then stop consuming it.

AWS CAF Platform perspective primarily supports the earlier need to establish technical foundations for hosting and building cloud workloads because the Platform perspective addresses cloud engineering, architecture and platform capabilities, but the new task is to prepare the workforce and organizational culture for cloud transformation; that is why AWS CAF People perspective is preferable here.

AWS CAF Operations perspective is intended to prepare support, monitoring and service operations for migrated workloads because the Operations perspective develops capabilities for operating workloads effectively; in this design the new outcome is to prepare the workforce and organizational culture for cloud transformation, which calls for AWS CAF People perspective rather than AWS CAF Operations perspective or the earlier AWS CAF Platform perspective.

AWS CAF Governance perspective is intended to manage transformation risks, priorities and portfolio decisions because the Governance perspective addresses decision-making, program oversight and value management; in this design the new outcome is to prepare the workforce and organizational culture for cloud transformation, which calls for AWS CAF People perspective rather than AWS CAF Governance perspective or the earlier AWS CAF Platform perspective.

AWS Prescriptive Guidance is intended to find practical AWS migration patterns and implementation guidance because prescriptive Guidance provides proven strategies and technical patterns for cloud adoption; in this design the new outcome is to track migration progress across applications and migration tools, which calls for AWS Migration Hub rather than AWS Prescriptive Guidance or the earlier Migration dependency mapping.

AWS Schema Conversion Tool (AWS SCT) is intended 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; in this design the new outcome is to track migration progress across applications and migration tools, which calls for AWS Migration Hub rather than AWS Schema Conversion Tool (AWS SCT) or the earlier Migration dependency mapping.

Migration dependency mapping primarily supports the earlier need to identify which applications and infrastructure components rely on one another because dependency discovery helps group and sequence migrations to avoid broken integrations, but the new task is to track migration progress across applications and migration tools; that is why AWS Migration Hub is preferable here.

Spot capacity economics addresses the separate need to save on flexible interruptible EC2 computing because Spot Instances exploit spare EC2 capacity at discounted rates with interruption risk; it is not as direct as Savings Plans commitment for the actual requirement to obtain eligible compute discounts in exchange for a spending commitment.

Capital expenditure (CapEx) addresses the separate need to recognize upfront infrastructure purchase as a fixed investment because capEx involves purchasing owned assets such as servers and data-center equipment before the benefits are consumed; it is not as direct as Savings Plans commitment for the actual requirement to obtain eligible compute discounts in exchange for a spending commitment.

Variable cloud costs addresses the separate need to align consumption-based expense with actual usage because usage-based pricing lets spending change with resource consumption instead of requiring fixed purchased capacity; it is not as direct as Savings Plans commitment for the actual requirement to obtain eligible compute discounts in exchange for a spending commitment.