Cloud Digital Leader Practice Question: What does 'serverless computing' mean, and what…

Answer analysis

Option-by-option breakdown

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

• ✗

  Serverless means no code is needed — the cloud provider writes the application logic automatically.

  Why it's wrong here

  Serverless still demands that developers write application logic; the cloud provider only manages the execution environment. The phrase 'serverless' refers to abstracting away server provisioning, not eliminating code. For example, in Google Cloud Functions, you author the function's business logic in a language like Node.js or Python, and the service runs it in response to events. Thus, the provider never writes your application code—it simply hosts and runs it.

• ✓

  Serverless means developers don't provision or manage servers, OS, or scaling — they only write and deploy code.

  Why this is correct

  Serverless computing abstracts the entire infrastructure layer: developers write and deploy code without ever provisioning servers, managing operating systems, or configuring scaling policies. The cloud provider automatically handles capacity, patching, and scaling, often down to zero instances when idle, meaning the developer no longer cares about server administration. This lets teams focus purely on application logic and business value, while the provider handles the undifferentiated heavy lifting. The term 'serverless' means no server management, not no servers.

• ✗

  Serverless computing only works for batch jobs that run overnight.

  Why it's wrong here

  Serverless computing is event-driven and works across a wide range of workloads, including real-time HTTP APIs, IoT event stream processing, image/video processing, and webhooks—not just overnight batch jobs. Batch jobs are one valid use case, but serverless platforms can scale up instantly for a spike in requests and scale to zero when idle, making them ideal for latency-sensitive, short-lived tasks as well. Restricting serverless to overnight batch work incorrectly ignores its core strength: responding to events in near real-time with automatic scaling.

• ✗

  Serverless is a type of on-premises architecture where servers are hidden from developers.

  Why it's wrong here

  Serverless is fundamentally a public cloud execution model, not an on-premises architecture. In a serverless platform like Cloud Run or Cloud Functions, the cloud provider owns, operates, and manages the underlying servers and infrastructure, which are hosted in the provider's data centers. On-premises architecture would require the organization to maintain physical hardware, which contradicts the fully managed nature of serverless. So, 'hidden servers' refer to abstraction in the cloud, not physical servers on the customer's premises.

Go deeper

Related to this question