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Difficulty: MediumReliability, Predictability, and Disaster Recovery

Under the Microsoft Azure cloud concept of predictability, automatically scaling resources to maintain consistent application response times during a traffic spike ensures that the hourly deployment costs also remain constant.

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Answer

The statement is false because scaling out resources to maintain performance predictability increases the number of active resources, which increases the hourly billing cost under a consumption-based model.
The statement is false because scaling out resources to maintain performance predictability increases the number of active resources, which increases the hourly billing cost under a consumption-based model.

Step-by-Step Solution

1
Identify the core cloud concepts mentioned in the statement: predictability, auto-scaling, and cost.
Predictability in Azure includes performance predictability (consistent experience) and cost predictability (ability to forecast costs). Auto-scaling is a mechanism of elasticity.
To define the operational scope of the concepts being evaluated.
2
Analyze how auto-scaling affects resource allocation and costs in Azure.
Auto-scaling dynamically provisions additional resource instances (such as VMs) during traffic spikes to maintain response times. Under Azure's consumption-based model, you pay for what you use.
To link resource provisioning to billing outcomes.
3
Determine if hourly deployment costs remain constant during a scale-out event.
Since scaling out increases the number of active resources, the hourly billing cost increases. Therefore, the statement's claim that costs remain constant is incorrect.
To draw the final logical conclusion about the statement's validity.

Key Concept

Performance predictability vs. cost predictability in a consumption-based scaling scenario
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Topics

Reliability, Predictability, and Disaster Recovery

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