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Free sample question, answered and explained below. The AZ-900 Microsoft Azure Fundamentals Exam practice bank has 688 more like it. Try 10 free: instant score, no account.
An organization is developing an event-driven background service that processes image uploads. The application receives unpredictable traffic throughout the day and experiences extended periods of complete inactivity.
The organization wants a cost-effective solution where compute charges occur only while the code is actively executing and resource costs drop to zero during idle periods.
Which compute model and billing structure meets these requirements?
Provisioned compute with Reserved Instances is a pricing model where an organization commits to a steady level of compute capacity for a one-year or three-year term in exchange for significant hourly rate discounts compared to pay-as-you-go rates.
The application had predictable, uninterrupted, 24/7 baseline compute requirements where servers run continuously throughout the year.
Reserved instances are designed specifically for predictable enterprise applications (such as primary database instances or steady core services), making them the opposite of event-driven, intermittent consumption models.
An App Service Plan on an Isolated tier is a Platform as a Service (PaaS) hosting option that runs web applications, APIs, and background jobs on dedicated, secure, single-tenant virtual machines hosted within a dedicated Azure Virtual Network environment.
The organization needed strict network isolation, dedicated hardware to meet regulatory compliance, and sustained enterprise workloads with continuous, high-volume traffic.
While App Service provides automated management and web hosting conveniences, running on dedicated or isolated tiers retains a provisioned pricing structure rather than a pay-per-execution serverless model.
Dedicated Virtual Machines (VMs) belong to the Infrastructure as a Service (IaaS) category. When deploying a virtual machine, users provision specific compute hardware, such as virtual CPUs and RAM, running an operating system of choice.
The workload required full operating system control, legacy software installations, consistent and predictable baseline compute usage 24/7, or specialized networking configurations.
While virtual machines can be stopped and deallocated to halt compute billing, they cannot instantly trigger and process incoming background events on demand without prior warm-up time or separate orchestration infrastructure.
Serverless computing is a cloud execution model where the cloud provider dynamically manages the provisioning, scaling, and maintenance of server infrastructure. Under a consumption-based billing plan, pricing is tied directly to the exact amount of compute resources and execution time consumed by the application rather than pre-allocated capacity.
For unpredictable, intermittent workloads, serverless consumption pricing provides the lowest total cost of ownership. Traditional hosting models require paying continuous runtime fees for idle servers, whereas consumption billing perfectly aligns infrastructure costs with real-time operational demand.
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