Why serverless matters in Azure - Challenge Your Understanding

Challenge - 5 Problems

🧠 Conceptual

intermediate

Why does serverless reduce operational overhead?

Which option best explains why serverless computing reduces the need for managing servers?

A Because serverless requires you to install and update operating systems.

B Because you have to manually configure each server instance.

C Because serverless means you own physical servers in your office.

D Because the cloud provider automatically handles server maintenance and scaling.

💡 Hint

Think about who manages the servers in serverless computing.

Serverless means the cloud provider manages the servers, so you don't have to worry about maintenance or scaling.

❓ service_behavior

intermediate

How does serverless handle scaling?

In Azure Functions (a serverless service), what happens when the number of incoming requests increases suddenly?

A Azure Functions automatically creates more instances to handle the load.

B The function stops working until you manually add more servers.

C Azure Functions queues the requests but does not scale instances.

D You must pre-configure the number of instances before traffic increases.

💡 Hint

Consider how serverless services respond to demand changes.

Azure Functions automatically scales out by creating more instances to handle increased requests without manual intervention.

❓ Architecture

advanced

Cost efficiency in serverless architecture

Which statement best describes why serverless architectures can be more cost-efficient than traditional server-based setups?

A You pay only for the actual compute time your code runs, not for idle server time.

B You pay a fixed monthly fee regardless of usage.

C You pay for reserved server capacity even if it is unused.

D You must buy and maintain physical servers to reduce costs.

💡 Hint

Think about how billing works in serverless compared to traditional servers.

Serverless billing charges only for the time your code executes, avoiding costs for idle resources.

❓ security

advanced

Security responsibility in serverless

In a serverless model like Azure Functions, which security responsibility remains with the user?

A Patching the underlying operating system.

B Managing physical server security in the data center.

C Securing the application code and managing access controls.

D Configuring network hardware firewalls.

💡 Hint

Consider what the cloud provider manages versus what the user controls.

The cloud provider manages infrastructure security, but users must secure their application code and control access.

✅ Best Practice

expert

Choosing serverless for event-driven workloads

Which scenario is the best fit for using serverless computing in Azure?

A A legacy application requiring constant, high CPU usage on dedicated servers.

B An application that processes user uploads only occasionally and needs to scale automatically.

C A database server that must run 24/7 with fixed capacity.

D A desktop application installed on user machines.

💡 Hint

Think about workloads that benefit from automatic scaling and pay-per-use.

Serverless is ideal for event-driven workloads that have variable or unpredictable usage and need automatic scaling.