Exam Bundle

Static capacity plan assumes a fixed resource allocation despite changing demand. This does not address the need for A company wants to move between storage and compute service choices as usage patterns emerge. The appropriate Cloud flexibility applies because Cloud customers can select and change many resource types and configurations as needs evolve.

Single fixed configuration: Prevents an environment from adapting to changing resource or workload conditions. This does not address the need for A company wants to move between storage and compute service choices as usage patterns emerge. The appropriate Cloud flexibility applies because Cloud customers can select and change many resource types and configurations as needs evolve.

Hardware lock-in: Restricts the flexibility of infrastructure choice through an owned or proprietary platform. This does not address the need for A company wants to move between storage and compute service choices as usage patterns emerge. The appropriate Cloud flexibility applies because Cloud customers can select and change many resource types and configurations as needs evolve.

Database compression: Reduces storage footprint without adding service redundancy. That does not meet the requirement: A team cares primarily that a user-facing service responds during a single-server outage.

Data archival prioritizes long-term retention rather than immediate online service availability. That does not meet the requirement: A team cares primarily that a user-facing service responds during a single-server outage.

Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability. That does not meet the requirement: A team cares primarily that a user-facing service responds during a single-server outage.

Data archival prioritizes long-term retention rather than immediate online service availability. This does not address the need for A team cares primarily that a user-facing service responds during a single-server outage. The appropriate Availability applies because Availability measures whether a service can be accessed and used when needed, unlike durability of stored data.

Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability. This does not address the need for A team cares primarily that a user-facing service responds during a single-server outage. The appropriate Availability applies because Availability measures whether a service can be accessed and used when needed, unlike durability of stored data.

Database compression: Reduces storage footprint without adding service redundancy. This does not address the need for A team cares primarily that a user-facing service responds during a single-server outage. The appropriate Availability applies because Availability measures whether a service can be accessed and used when needed, unlike durability of stored data.

Data archival prioritizes long-term retention rather than immediate online service availability. That does not meet the requirement: Consider this AWS requirement: A travel site wants its booking web app reachable even when one application node fails.

Database compression: Reduces storage footprint without adding service redundancy. That does not meet the requirement: Consider this AWS requirement: A travel site wants its booking web app reachable even when one application node fails.

Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability. That does not meet the requirement: Consider this AWS requirement: A travel site wants its booking web app reachable even when one application node fails.

Data archival prioritizes long-term retention rather than immediate online service availability. This does not address the need for A travel site wants its booking web app reachable even when one application node fails. The appropriate Availability applies because Availability measures whether a service can be accessed and used when needed, unlike durability of stored data.

Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability. This does not address the need for A travel site wants its booking web app reachable even when one application node fails. The appropriate Availability applies because Availability measures whether a service can be accessed and used when needed, unlike durability of stored data.

Database compression: Reduces storage footprint without adding service redundancy. This does not address the need for A travel site wants its booking web app reachable even when one application node fails. The appropriate Availability applies because Availability measures whether a service can be accessed and used when needed, unlike durability of stored data.

Low latency concerns small response delays, not necessarily preserved stored data. That does not meet the requirement: An archive team wants a low probability of losing stored records over long periods.

Auto Scaling: Adjusts resource capacity based on scaling policies. That does not meet the requirement: An archive team wants a low probability of losing stored records over long periods.

Availability measures whether a service can be accessed and used when needed, unlike durability of stored data. That does not meet the requirement: An archive team wants a low probability of losing stored records over long periods.

Low latency concerns small response delays, not necessarily preserved stored data. This does not address the need for An archive team wants a low probability of losing stored records over long periods. The appropriate Durability applies because Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability.

Availability measures whether a service can be accessed and used when needed, unlike durability of stored data. This does not address the need for An archive team wants a low probability of losing stored records over long periods. The appropriate Durability applies because Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability.

Auto Scaling: Adjusts resource capacity based on scaling policies. This does not address the need for An archive team wants a low probability of losing stored records over long periods. The appropriate Durability applies because Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability.

Auto Scaling: Adjusts resource capacity based on scaling policies. That does not meet the requirement: A technical reviewer evaluates this need: A photographer needs preserved original image objects even if an individual device fails.

Low latency concerns small response delays, not necessarily preserved stored data. That does not meet the requirement: A technical reviewer evaluates this need: A photographer needs preserved original image objects even if an individual device fails.

Availability measures whether a service can be accessed and used when needed, unlike durability of stored data. That does not meet the requirement: A technical reviewer evaluates this need: A photographer needs preserved original image objects even if an individual device fails.

Auto Scaling: Adjusts resource capacity based on scaling policies. This does not address the need for A photographer needs preserved original image objects even if an individual device fails. The appropriate Durability applies because Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability.

Availability measures whether a service can be accessed and used when needed, unlike durability of stored data. This does not address the need for A photographer needs preserved original image objects even if an individual device fails. The appropriate Durability applies because Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability.

Low latency concerns small response delays, not necessarily preserved stored data. This does not address the need for A photographer needs preserved original image objects even if an individual device fails. The appropriate Durability applies because Durability concerns the long-term persistence of stored data, not necessarily its immediate reachability.

Sustainability: The Sustainability pillar is about minimizing environmental impacts of cloud workloads. That does not meet the requirement: Operations teams want consistent runbooks, feedback loops and safe changes during service evolution.

Cost optimization: The Cost Optimization pillar emphasizes avoiding unnecessary costs and optimizing spend for required value. That does not meet the requirement: Operations teams want consistent runbooks, feedback loops and safe changes during service evolution.

Performance efficiency: The Performance Efficiency pillar emphasizes efficient resource selection and adapting as demand and technology evolve. That does not meet the requirement: Operations teams want consistent runbooks, feedback loops and safe changes during service evolution.

Cost optimization: The Cost Optimization pillar emphasizes avoiding unnecessary costs and optimizing spend for required value. This does not address the need for Operations teams want consistent runbooks, feedback loops and safe changes during service evolution. The appropriate Operational excellence applies because The Operational Excellence pillar emphasizes operations as code, learning and continuous improvement.

Performance efficiency: The Performance Efficiency pillar emphasizes efficient resource selection and adapting as demand and technology evolve. This does not address the need for Operations teams want consistent runbooks, feedback loops and safe changes during service evolution. The appropriate Operational excellence applies because The Operational Excellence pillar emphasizes operations as code, learning and continuous improvement.

Sustainability: The Sustainability pillar is about minimizing environmental impacts of cloud workloads. This does not address the need for Operations teams want consistent runbooks, feedback loops and safe changes during service evolution. The appropriate Operational excellence applies because The Operational Excellence pillar emphasizes operations as code, learning and continuous improvement.