A regional utility company deploys its smart grid telemetry platform on Azure. The platform is deployed across two distinct datacenters within a single region, allowing it to continue processing electricity usage data without interruption if one datacenter goes offline due to a local grid failure. During hot summer days when air conditioning usage peaks, the platform automatically increases its compute capacity to process the massive influx of smart meter readings, and automatically scales back down overnight as data volume decreases.
Which of the following cloud characteristics are demonstrated by this deployment? (Select TWO.)
- High availability, because the platform remains operational despite the failure of an entire local datacenter.Answer
- Elasticity, because the compute resources automatically adjust upward and downward based on telemetry data volume.Answer
- CDisaster recovery, because the platform is designed to recover from a complete loss of an Azure region by failing over to another region.
- DGlobal distribution, because the platform leverages datacenters that span multiple distinct geographical regions to process meter readings.
Answer
The correct answers are the options describing high availability (continuous operation despite local datacenter failure) and elasticity (automatic adjustment of resources based on telemetry data volume).
The correct options are high availability and elasticity. High availability is demonstrated by deploying across two distinct datacenters in a single region to ensure data processing continues without interruption even if one datacenter goes offline. Elasticity is demonstrated by the platform automatically scaling its compute capacity up during peak telemetry times and scaling back down during low-activity periods.
Step-by-Step Solution
Key Concept
High Availability, Scalability, and Elasticity
Estimated Time:1m 30s