D321 ITCL 3203 AWS Developer
Final Assessment Review (Qns & Ans)
2025
1. Scenario – Designing a Serverless Application Workflow
A startup is developing a serverless application on AWS that
processes user requests via APIs, performs asynchronous data
processing, and stores results in Amazon DynamoDB. Which
combination of services best supports an end-to-end serverless
architecture for this application?
- A. AWS Lambda with Amazon SNS and Amazon Aurora
- B. AWS Lambda with Amazon API Gateway, Amazon SQS,
and DynamoDB
- C. Amazon EC2 with Elastic Load Balancing and Amazon RDS
- D. AWS Fargate with API Gateway and DynamoDB
©2025
,Correct ANS: B. AWS Lambda with Amazon API Gateway,
Amazon SQS, and DynamoDB
Rationale: This combination offers a fully serverless solution.
API Gateway fronts the API, Lambda executes business logic,
SQS decouples asynchronous requests, and DynamoDB provides
scalable NoSQL storage, matching the requirements of dynamic,
event‑driven workloads without server management.
---
2. Scenario – Handling API Throttling Efficiently
An AWS developer notices intermittent “ThrottlingException”
errors when calling AWS services programmatically via the AWS
SDK for Python (Boto3). Which approach should be implemented
to manage API call limits effectively?
- A. Increase the number of API calls by parallelizing requests
- B. Hardcode higher timeout values in the client
- C. Implement retries using exponential backoff with jitter
- D. Switch from Boto3 to a different SDK
Correct ANS: C. Implement retries using exponential backoff with
jitter
©2025
, Rationale: Exponential backoff with jitter is the
industry‑standard method to handle API throttling. It reduces
burst retries and distributes the retry attempts over time, thereby
conforming to AWS best practices and preventing simultaneous
request spikes.
---
3. Scenario – Microservices and Containerization
A development team is migrating parts of a monolithic
application into microservices, containerizing each service, and
using AWS for orchestration. Which AWS service enables
running containers without managing the underlying EC2
instances?
- A. Amazon EC2 Auto Scaling
- B. Amazon Elastic Container Service (ECS) with EC2 launch
type
- C. AWS Fargate
- D. Amazon EKS with managed node groups
Correct ANS: C. AWS Fargate
Rationale: AWS Fargate allows developers to run containers
without provisioning or managing EC2 instances. This serverless
approach to container orchestration streamlines deployments and
allows focusing solely on application code.
©2025
, ---
4. Scenario – Continuous Integration/Deployment Pipeline
An organization plans to automate the build, test, and deployment
of its AWS-based applications. Which combination of AWS
services would best support a fully automated CI/CD pipeline?
- A. AWS CodeBuild, AWS CodeDeploy, and AWS
CodePipeline
- B. AWS CloudFormation and Amazon CloudWatch
- C. AWS Lambda with manual triggers
- D. Amazon S3 with versioning only
Correct ANS: A. AWS CodeBuild, AWS CodeDeploy, and AWS
CodePipeline
Rationale: AWS CodeBuild compiles and tests code,
CodeDeploy automates application deployments, and
CodePipeline orchestrates the complete process. Together, these
services enable a robust and automated CI/CD pipeline.
---
©2025
Final Assessment Review (Qns & Ans)
2025
1. Scenario – Designing a Serverless Application Workflow
A startup is developing a serverless application on AWS that
processes user requests via APIs, performs asynchronous data
processing, and stores results in Amazon DynamoDB. Which
combination of services best supports an end-to-end serverless
architecture for this application?
- A. AWS Lambda with Amazon SNS and Amazon Aurora
- B. AWS Lambda with Amazon API Gateway, Amazon SQS,
and DynamoDB
- C. Amazon EC2 with Elastic Load Balancing and Amazon RDS
- D. AWS Fargate with API Gateway and DynamoDB
©2025
,Correct ANS: B. AWS Lambda with Amazon API Gateway,
Amazon SQS, and DynamoDB
Rationale: This combination offers a fully serverless solution.
API Gateway fronts the API, Lambda executes business logic,
SQS decouples asynchronous requests, and DynamoDB provides
scalable NoSQL storage, matching the requirements of dynamic,
event‑driven workloads without server management.
---
2. Scenario – Handling API Throttling Efficiently
An AWS developer notices intermittent “ThrottlingException”
errors when calling AWS services programmatically via the AWS
SDK for Python (Boto3). Which approach should be implemented
to manage API call limits effectively?
- A. Increase the number of API calls by parallelizing requests
- B. Hardcode higher timeout values in the client
- C. Implement retries using exponential backoff with jitter
- D. Switch from Boto3 to a different SDK
Correct ANS: C. Implement retries using exponential backoff with
jitter
©2025
, Rationale: Exponential backoff with jitter is the
industry‑standard method to handle API throttling. It reduces
burst retries and distributes the retry attempts over time, thereby
conforming to AWS best practices and preventing simultaneous
request spikes.
---
3. Scenario – Microservices and Containerization
A development team is migrating parts of a monolithic
application into microservices, containerizing each service, and
using AWS for orchestration. Which AWS service enables
running containers without managing the underlying EC2
instances?
- A. Amazon EC2 Auto Scaling
- B. Amazon Elastic Container Service (ECS) with EC2 launch
type
- C. AWS Fargate
- D. Amazon EKS with managed node groups
Correct ANS: C. AWS Fargate
Rationale: AWS Fargate allows developers to run containers
without provisioning or managing EC2 instances. This serverless
approach to container orchestration streamlines deployments and
allows focusing solely on application code.
©2025
, ---
4. Scenario – Continuous Integration/Deployment Pipeline
An organization plans to automate the build, test, and deployment
of its AWS-based applications. Which combination of AWS
services would best support a fully automated CI/CD pipeline?
- A. AWS CodeBuild, AWS CodeDeploy, and AWS
CodePipeline
- B. AWS CloudFormation and Amazon CloudWatch
- C. AWS Lambda with manual triggers
- D. Amazon S3 with versioning only
Correct ANS: A. AWS CodeBuild, AWS CodeDeploy, and AWS
CodePipeline
Rationale: AWS CodeBuild compiles and tests code,
CodeDeploy automates application deployments, and
CodePipeline orchestrates the complete process. Together, these
services enable a robust and automated CI/CD pipeline.
---
©2025
