Why serverless matters in AWS - Challenge Your Understanding

Challenge - 5 Problems

🧠 Conceptual

intermediate

Why does serverless reduce operational overhead?

Which of the following best explains why serverless computing reduces operational overhead for developers?

A Serverless requires manual server setup but automates code deployment.

B Serverless automatically manages server provisioning and scaling, so developers focus only on code.

C Serverless eliminates the need for writing code by using pre-built applications.

D Serverless requires developers to manage servers but provides better monitoring tools.

💡 Hint

Think about what tasks serverless platforms handle automatically.

Serverless platforms handle server provisioning, scaling, and maintenance automatically, freeing developers from these tasks.

❓ service_behavior

intermediate

What happens when a serverless function is idle?

In a serverless environment like AWS Lambda, what happens to a function when it is not being called for a period of time?

A The function is paused and resources are freed until the next invocation.

B The function continues running in the background consuming resources.

C The function is deleted and must be redeployed manually before next use.

D The function automatically scales up to handle future requests.

💡 Hint

Consider how serverless optimizes resource usage when idle.

Serverless functions are paused when idle, freeing resources and reducing costs. They start fresh on the next call.

❓ Architecture

advanced

Designing a scalable serverless web app

You want to build a web app that automatically scales with user demand using serverless services. Which architecture best achieves this?

A Deploy a containerized app on ECS with manual scaling and an S3 bucket for storage.

B Use EC2 instances behind a load balancer with a MySQL database on RDS.

C Use AWS Lambda for backend logic, API Gateway for HTTP requests, and DynamoDB for storage.

D Use on-premises servers with a VPN connection to AWS for storage.

💡 Hint

Think about fully managed services that scale automatically.

Using Lambda, API Gateway, and DynamoDB provides a fully serverless, scalable architecture without managing servers.

❓ security

advanced

Security best practices for serverless functions

Which practice improves security for serverless functions in AWS?

A Store all secrets directly in the function code for quick access.

B Give all functions full admin access to simplify development.

C Disable logging to prevent sensitive data exposure.

D Assign minimal IAM permissions to each function following the principle of least privilege.

💡 Hint

Consider how to limit access to only what is necessary.

Assigning minimal permissions reduces risk if a function is compromised. Avoid embedding secrets in code and keep logging enabled for auditing.

✅ Best Practice

expert

Cost optimization in serverless architectures

Which strategy best reduces costs in a serverless application with unpredictable traffic?

A Use event-driven triggers to run functions only when needed and optimize function execution time.

B Keep functions running continuously to avoid cold starts and reduce latency.

C Provision a fixed number of concurrent executions to guarantee availability.

D Use large memory allocations for all functions to speed up execution regardless of workload.

💡 Hint

Think about how serverless pricing works and how to avoid unnecessary charges.

Serverless charges based on execution time and invocations. Using event triggers and optimizing code reduces runtime and cost.