Match each Azure pricing model to its definition.
Drag a concept onto its matching description — or click a concept then click the description.
Pay only for resources used, no upfront commitment
Pre-pay for one or three years for discount
Use unused capacity at reduced cost
Use on-premises licenses in Azure
12 months of free services and $200 credit
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Pay-as-you-go: You pay only for what you use, with no upfront commitment.
Correct matches: Pay-as-you-go = pay per use; Reserved Instances = prepay for discount; Spot VMs = discounted but evictable capacity; Azure Hybrid Benefit = use existing licenses. Common confusions involve swapping prepayment with pay-as-you-go or confusing spot with license benefits.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Pay-as-you-go: You pay only for what you use, with no upfront commitment.
Why this is correct
Pay-as-you-go is Azure's consumption-based pricing model where billing occurs only for resources actively used, typically metered per second (e.g., VMs) or per hour, with no upfront payment or termination fees. This is the default pricing model, and while it offers maximum flexibility and scalability, it can become costly for always-on workloads. The absence of any commitment distinguishes it from reserved capacity.
Reserved Instances: You prepay for 1 or 3 years to get a discounted rate.
Why this is correct
Reserved Instances require a formal commitment to a specific Azure service (like Virtual Machines or SQL Database) for a one- or three-year term, in exchange for a discounted hourly rate—up to 72% less than pay-as-you-go. You can choose upfront, partial, or monthly billing, and the discount is automatically applied to matching resource usage. This model suits predictable, steady-state workloads that run continuously.
Spot Virtual Machines: You use unused Azure capacity at a deep discount, but the instance can be evicted at any time.
Why this is correct
Spot Virtual Machines consume idle compute capacity in Azure data centers, offering discounts of up to 90% compared to pay-as-you-go, but they can be evicted with 30 seconds' notice when Azure needs the capacity back. Because availability is not guaranteed, they are ideal only for interruptible, stateless workloads such as batch jobs, image rendering, or test environments. The eviction risk is the defining trade-off for the deep discount.
Azure Hybrid Benefit: You use your existing on-premises Windows Server or SQL Server licenses to save costs on Azure.
Why this is correct
Azure Hybrid Benefit leverages your existing Windows Server or SQL Server licenses with active Software Assurance to reduce the base compute cost of Azure VMs and Azure SQL Database. You essentially bring your own license to Azure, eliminating the need to pay the full licensing fee included in the standard hourly rate. It can be combined with Reserved Instances for compounded savings, but it is fundamentally a license-mobility program, not a capacity reservation.
Pay-as-you-go: You prepay for 1 or 3 years to get a discounted rate.
Why it's wrong here
This option incorrectly defines Pay-as-you-go as prepaying for 1 or 3 years to get a discounted rate—that is the definition of Reserved Instances. Pay-as-you-go charges only for actual usage without any upfront commitment, making this pairing invalid. Prepaying introduces a time commitment, which directly contradicts the flexibility that characterizes pay-as-you-go pricing.
Spot Virtual Machines: You use your existing on-premises licenses to save costs.
Why it's wrong here
This option incorrectly attributes the use of existing on-premises licenses to Spot Virtual Machines—that technique is Azure Hybrid Benefit. Spot Virtual Machines are unrelated to licensing; they rely on surplus compute capacity and will be terminated if capacity must be reclaimed. Confusing the two would lead you to expect license discounts when actually you are accepting eviction risk for lower compute pricing.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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