AZ-900 · Practice set 5 of 5
Cloud Economics and Serverless: 10 practice questions
10 free AZ-900 practice questions on Cloud Economics and Serverless, with an explanation for every answer. Untimed. The full mock exam and the timed version are in the app.
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Question 1 of 10
What defines the consumption-based cloud model?
- ACustomers retain every resource after demand decreases
- BCustomers pay for the IT resources they use
- CBuy maximum capacity before using it
- DCustomers pay for idle hardware kept permanently on-site
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Consumption links spending to actual resource use and permits release of capacity; fixed advance purchases and retained idle capacity follow a different model.
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Question 2 of 10
Which purchase is a capital expenditure?
- ACPU charges while a function executes
- BRecurring service spending that changes with workload use
- COngoing spending for cloud services as they are consumed
- DUpfront spending on servers and datacenter space
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Capital expenditure buys physical infrastructure upfront; ongoing or usage-linked service charges are operational expenditure.
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Question 3 of 10
What characterizes Azure Functions as a serverless compute option?
- ATeams maintain containers that remain provisioned while no events occur
- BApplications require virtual machines to stay running between every event
- CDatacenter hardware must be purchased before a function can receive events
- DEvents trigger code without requiring virtual machine or container maintenance
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Azure Functions responds to events while abstracting virtual machine and container maintenance; continuously provisioned resources characterize other compute designs.
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Question 4 of 10
What is the risk of overestimating capacity in a traditional datacenter?
- AThe provider deallocates resources as soon as an event finishes
- BThe organization pays for infrastructure that remains idle
- CThe application degrades because too little hardware was purchased
- DExcess hardware is released from the site
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An overestimate creates unused purchased capacity; degraded performance from insufficient capacity is the opposite planning error.
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Question 5 of 10
Why is consumption-based cloud spending classified as operational expenditure?
- AIt is ongoing spending on services as they are used
- BCapacity stays fixed before workload use
- CIt requires ownership of datacenter space before service use
- DIt is an upfront purchase of physical servers and network hardware
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Operational expenditure occurs over time as services are consumed, whereas capital expenditure buys physical infrastructure upfront.
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Question 6 of 10
Which event can trigger an Azure Function according to the serverless model?
- AA hardware purchase before each request
- BA manual container restart required before every code execution
- CA timer, REST request, or message from another Azure service
- DA permanent allocation of idle virtual machines without an event
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Functions respond to triggers such as requests, timers, and service messages; they do not depend on customer-maintained idle infrastructure.
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Question 7 of 10
How does Azure Functions align resource use with execution?
- AIt requires fixed hardware capacity and charges an upfront server purchase
- BIt keeps resources provisioned after execution and charges for idle CPU time
- CIt prevents automatic scaling and reserves unchanged capacity for every workload
- DIt deallocates resources when execution ends and charges for used CPU time
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Function resources follow triggers and execution duration: scaling is automatic, resources are deallocated after completion, and billing follows CPU time used.
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Question 8 of 10
A retailer expects a brief seasonal demand spike and wants to avoid owning unused capacity afterward. Which approach fits?
- APurchase fixed maximum capacity and treat idle infrastructure as consumed capacity
- BUnderestimate peak demand and postpone hardware orders until performance degrades
- CBuy permanent datacenter capacity for the peak and keep it after demand falls
- DAdd cloud resources for the spike, then release them as demand falls
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Consumption-based capacity can track temporary demand, avoiding the idle infrastructure created by a permanent peak-sized purchase.
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Question 9 of 10
A team needs short code execution when a service message arrives, with no resources provisioned between messages. Which option fits?
- AA customer-maintained container reserved while no messages arrive
- BA virtual machine kept running continuously between messages
- CAn on-site server purchased and left idle between messages
- DAn Azure Function triggered by the service message
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The event-driven pattern matches Azure Functions because a message can wake the code and resources can be deallocated when execution finishes.
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Question 10 of 10
A company underestimated demand for its traditional datacenter, and application performance is degrading. What remediation does that model require?
- AOrder, install, and provision additional hardware, power, and cooling
- BWait for a serverless trigger to deallocate the overloaded physical hosts
- CRelease cloud resources immediately and continue with less installed capacity
- DConvert the existing hardware purchase into usage-based CPU billing automatically
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Traditional capacity shortfalls require physical expansion, unlike cloud resources that can be added to match changing demand.
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