Question 241 of 1,031
Describe cloud conceptsmediumMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is that serverless computing is a cloud execution model where developers deploy code without managing server infrastructure, paying only for execution. This is correct because the cloud provider dynamically handles all server provisioning, scaling, and maintenance, allowing developers to focus solely on writing and uploading code as functions—such as Azure Functions—while being billed exclusively for the compute time consumed during execution, not for idle capacity. On the Microsoft Azure Fundamentals AZ-900 exam, this concept tests your understanding of cloud service models and operational responsibilities; a common trap is confusing serverless with “no servers at all,” when in fact servers exist but are abstracted away. Remember the memory tip: “Pay per play, not per stay”—you only pay when your code runs, not when it sits idle.

AZ-900 Describe cloud concepts Practice Question

This AZ-900 practice question tests your understanding of describe cloud concepts. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

What is 'serverless computing'?

Question 1mediummultiple choice
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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

A model where developers deploy code without managing server infrastructure, paying only for execution

Serverless computing is a cloud execution model where the cloud provider dynamically manages the allocation and provisioning of servers. Developers write and deploy code in the form of functions (e.g., AWS Lambda, Azure Functions) without provisioning or managing any underlying server infrastructure, and they are billed only for the actual compute time consumed during execution, not for idle capacity.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Computing that uses no physical servers anywhere in the world

    Why it's wrong here

    Servers still exist in serverless computing; 'serverless' means developers don't manage them.

  • A model where developers deploy code without managing server infrastructure, paying only for execution

    Why this is correct

    Serverless means no server management for developers — the provider handles it; billing is per execution.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Running applications without an operating system

    Why it's wrong here

    Serverless applications still run on OS instances; developers just don't interact with them.

  • Hosting applications on shared physical hardware

    Why it's wrong here

    Shared physical hardware describes virtual machines; serverless is an abstraction beyond VMs.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse 'serverless' with 'no servers at all' (Option A) or 'no operating system' (Option C), when in reality serverless abstracts server management but still uses servers and OSes under the hood.

Detailed technical explanation

How to think about this question

Under the hood, serverless platforms like Azure Functions use a host process (e.g., the Functions Host) that loads and executes user code in isolated sandboxes, often leveraging containers (e.g., Docker) for each function instance. A subtle behavior is 'cold starts' — when a function is invoked after being idle, the platform must allocate a new container and load the runtime, causing a latency spike that can impact real-time applications. In a real-world scenario, a company processing IoT sensor data might use serverless to run a function only when a new event arrives, avoiding the cost of a continuously running virtual machine.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this AZ-900 question test?

Describe cloud concepts — This question tests Describe cloud concepts — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: A model where developers deploy code without managing server infrastructure, paying only for execution — Serverless computing is a cloud execution model where the cloud provider dynamically manages the allocation and provisioning of servers. Developers write and deploy code in the form of functions (e.g., AWS Lambda, Azure Functions) without provisioning or managing any underlying server infrastructure, and they are billed only for the actual compute time consumed during execution, not for idle capacity.

What should I do if I get this AZ-900 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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