Disaster Recovery and Resilience

Answer: A.

Resiliency is the ability to recover from disruptions and mitigate disruptions.

Consistency involves more than one system storing information, to return the same result when queried.

Durability is the system's ability to perform even upon the occurrence of unexpected events.

Latency is typically the measurement of delay between request and response.

Option A is CORRECT as Resilience is the ability of AWS products to recover from disruptions and mitigate disruptions.

Option B is INCORRECT because Consistency ensures that similar results are returned by more than one system storing information, when queried.

Option C is INCORRECT because Durability is the ability of AWS product(s) to remain functional and perform despite unexpected events' occurrence.

Option D is INCORRECT because Latency denotes the delay between getting a response after a request is made.

Reference:

https://wa.aws.amazon.com/wat.concept.resiliency.en.html https://wa.aws.amazon.com/wat.concept.consistency.en.html https://wa.aws.amazon.com/wat.concept.durability.en.html https://wa.aws.amazon.com/wat.concept.latency.en.html

The ability of AWS products and services to recover from disruptions and mitigate disruptions is known as "resiliency".

Resiliency is the ability of a system to recover quickly and continue operating even when there is a disruption or failure. AWS has designed its products and services to be highly resilient, with multiple layers of redundancy and fault-tolerance built in to help ensure that disruptions are minimized and that the system remains available.

AWS achieves resiliency through a number of techniques, including:

1. Multi-Availability Zone (Multi-AZ) deployments: This involves deploying resources across multiple availability zones (AZs), which are geographically separated data centers. By deploying resources across multiple AZs, AWS can provide high availability and fault tolerance, even in the event of an AZ outage.

2. Auto Scaling: AWS provides a service called Auto Scaling, which allows customers to automatically scale their resources up or down based on demand. By using Auto Scaling, customers can ensure that their applications can handle increased traffic without being overwhelmed, and can also save money by reducing resources during periods of low demand.

3. Load balancing: AWS provides a range of load balancing services, such as Elastic Load Balancing (ELB), which can distribute traffic across multiple instances and AZs. By using load balancing, customers can ensure that their applications are highly available and can handle increased traffic.

4. Data replication: AWS provides several data replication services, such as Amazon S3 (Simple Storage Service) and Amazon RDS (Relational Database Service), which replicate data across multiple AZs. By replicating data, AWS can help ensure that data remains available even in the event of a failure.

In summary, resiliency is the ability of AWS products and services to recover from disruptions and mitigate disruptions. AWS achieves resiliency through a variety of techniques, including multi-AZ deployments, auto scaling, load balancing, and data replication.