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Zorluk: OrtaIdentify design principles of the AWS Cloud

A healthcare organization is migrating its digital health record system to AWS. The system must remain available even if a physical data center experiences a complete power outage. The architecture team deploys the application servers across three Availability Zones behind an Application Load Balancer, and configures a Multi-AZ deployment for their database. Which design principle of the AWS Cloud does this architectural strategy directly implement?

  1. A
    Elasticity
  2. Design for failureCevap
  3. C
    Loose coupling
  4. D
    Scalability

Cevap

Design for failure
The correct answer is design for failure. This principle assumes that any component can and will fail over time. To mitigate this, architectures must be designed to avoid single points of failure by distributing resources across multiple physical locations (Availability Zones) and deploying redundant database instances to achieve high availability and fault tolerance.

Adım Adım Çözüm

1
Analyze the technical requirements of the scenario.
The healthcare organization requires continuous system availability and resilience against physical data center outages.
Identifying the primary operational constraint helps map the architecture to the correct cloud design principle.
2
Evaluate the architectural components chosen for the solution.
The architecture utilizes three Availability Zones and a Multi-AZ database setup to eliminate single points of physical infrastructure failure.
Understanding how the components function helps determine which design principle they embody.
3
Match the architectural strategy to the core AWS Cloud design principles.
Deploying redundant resources across multiple Availability Zones to survive hardware or site failures directly aligns with the principle of designing for failure.
This confirms that the design assumes failure at any level and implements redundancy to prevent service interruption.

Anahtar Kavram

Designing for failure on AWS involves building architectures that assume any component can fail. By utilizing multiple Availability Zones and database replication, workloads remain operational despite localized infrastructure disruptions.
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