AWS Certified Developer Associate Exam Questions
The AWS Certified Developer – Associate certification is designed for individuals who play a central role in developing and maintaining cloud-based applications. This certification validates technical proficiency in building, deploying, and debugging applications on the Amazon Web Services (AWS) platform. It is an ideal benchmark for developers who want to demonstrate their ability to write code that interacts with AWS services and ensure that cloud applications are efficient, secure, and scalable.
What You Will Learn
By preparing for and passing the AWS Certified Developer – Associate exam, candidates gain a deep understanding of how to:
Write code that interacts with AWS services: Learn how to use the AWS SDKs and APIs to communicate effectively with AWS services such as Amazon S3, DynamoDB, and Lambda.
Develop serverless applications: Understand event-driven programming using AWS Lambda and other services like Amazon API Gateway, SNS, and SQS.
Implement application security: Learn how to implement authentication and authorization using IAM roles, policies, and Cognito to secure cloud-native applications.
Deploy with automation tools: Use services like AWS CloudFormation, CodeBuild, CodeDeploy, and CodePipeline to automate and streamline the application deployment process.
Monitor and debug applications: Gain the skills needed to monitor application performance using Amazon CloudWatch and trace user activity or service errors with AWS X-Ray.
Work with containers: Explore the basics of deploying applications with Amazon ECS, EKS, and Fargate.
Utilize best practices: Learn AWS-recommended approaches for fault tolerance, scalability, and cost optimization in application design and implementation.
Who Should Take This Exam
The AWS Certified Developer – Associate exam is suitable for:
Software Developers and Programmers: Professionals with at least one year of experience developing and maintaining applications on the AWS platform.
Cloud Developers: Individuals building cloud-native applications who want to validate their understanding of core AWS services.
DevOps Engineers: Those involved in CI/CD processes and automated deployments will benefit from the certification’s focus on AWS developer tools.
Backend Engineers: Developers working with server-side logic, API integrations, and databases in the AWS environment.
Technical Professionals Pursuing AWS Careers: Whether you’re transitioning into cloud development or enhancing your existing cloud expertise, this certification serves as a significant stepping stone.
Exam Format and Details
Format: Multiple choice and multiple response questions
Duration: 130 minutes
Cost: $150 USD
Recommended Experience: At least 1 year of hands-on experience with AWS
Languages Offered: English, Japanese, Korean, Simplified Chinese
Why Earn This Certification
Becoming AWS Certified Developer – Associate is more than a resume booster—it’s a way to prove your expertise in a cloud-first world. This certification not only validates your hands-on abilities but also signals to employers that you’re prepared to build robust, scalable, and secure applications in the AWS environment.
Whether you’re working on microservices, serverless architectures, or containerized applications, this credential confirms that you have the practical skills to succeed in real-world scenarios.
Sample Questions and Answers
1. Which AWS service is primarily used for deploying serverless applications?
A) Amazon EC2
B) AWS Lambda
C) Amazon S3
D) Amazon CloudFront
Answer: B) AWS Lambda
Explanation: AWS Lambda allows you to run code in response to events without provisioning or managing servers, making it ideal for serverless application deployments.
2. Which AWS service helps developers with continuous integration and delivery (CI/CD) pipelines?
A) AWS CodeCommit
B) AWS CodeDeploy
C) AWS CodePipeline
D) Amazon S3
Answer: C) AWS CodePipeline
Explanation: AWS CodePipeline is a continuous integration and continuous delivery service for fast and reliable application and infrastructure updates.
3. Which of the following can be used to store configuration data for an application on AWS?
A) Amazon RDS
B) AWS Config
C) AWS Systems Manager Parameter Store
D) Amazon DynamoDB
Answer: C) AWS Systems Manager Parameter Store
Explanation: AWS Systems Manager Parameter Store is used to securely store configuration data, including passwords, database strings, and license keys.
4. Which AWS service provides a managed platform for building and deploying applications without having to manage servers?
A) AWS Lambda
B) AWS Elastic Beanstalk
C) Amazon EC2
D) Amazon Lightsail
Answer: B) AWS Elastic Beanstalk
Explanation: AWS Elastic Beanstalk is a managed service that handles application deployment, scaling, and monitoring, so developers can focus on writing code rather than managing infrastructure.
5. Which AWS service is best suited for building a scalable, multi-region, low-latency application with data replication?
A) Amazon S3
B) AWS Global Accelerator
C) Amazon RDS
D) AWS Lambda
Answer: B) AWS Global Accelerator
Explanation: AWS Global Accelerator helps improve the availability and performance of your applications with users across the globe, providing low-latency routing and cross-region data replication.
6. Which of the following can you use to automate the creation and deployment of resources in AWS?
A) AWS CloudFormation
B) AWS Lambda
C) AWS CloudTrail
D) Amazon CloudWatch
Answer: A) AWS CloudFormation
Explanation: AWS CloudFormation allows you to define and provision AWS infrastructure using code, automating the creation, update, and deletion of resources.
7. What is the purpose of the AWS SDK for JavaScript?
A) To manage AWS services from the AWS Management Console
B) To provide a set of APIs for interacting with AWS services from a JavaScript application
C) To run JavaScript code on AWS Lambda
D) To automate the creation of AWS resources
Answer: B) To provide a set of APIs for interacting with AWS services from a JavaScript application
Explanation: The AWS SDK for JavaScript allows developers to interact with AWS services directly from JavaScript code, both in the browser and on the server-side.
8. What is AWS Elastic Beanstalk’s default environment for running applications?
A) EC2 instances
B) Lambda functions
C) Docker containers
D) S3 buckets
Answer: A) EC2 instances
Explanation: AWS Elastic Beanstalk provisions EC2 instances to run web applications, but it can also scale and manage other resources, like databases and load balancers.
9. Which of the following is the most appropriate service for monitoring the health of your AWS infrastructure in real-time?
A) AWS CloudTrail
B) Amazon CloudWatch
C) AWS X-Ray
D) AWS Config
Answer: B) Amazon CloudWatch
Explanation: Amazon CloudWatch provides real-time monitoring of AWS resources and applications, tracking metrics, logs, and alarms.
10. Which of the following AWS services is commonly used for sending application logs to a centralized location for analysis?
A) AWS CloudTrail
B) Amazon CloudWatch Logs
C) AWS Systems Manager
D) Amazon S3
Answer: B) Amazon CloudWatch Logs
Explanation: Amazon CloudWatch Logs allows you to collect and centralize logs from AWS resources, applications, and on-premises servers.
11. Which of the following AWS services can be used to store and retrieve any amount of data at any time from anywhere on the web?
A) AWS Elastic File System (EFS)
B) Amazon S3
C) Amazon EBS
D) Amazon Glacier
Answer: B) Amazon S3
Explanation: Amazon S3 is an object storage service designed to store and retrieve any amount of data from anywhere on the web, with high durability and availability.
12. What is the function of AWS CodeDeploy?
A) Automates the deployment of applications to Amazon EC2 instances
B) Monitors code repositories in real-time
C) Manages infrastructure as code
D) Defines application architecture
Answer: A) Automates the deployment of applications to Amazon EC2 instances
Explanation: AWS CodeDeploy automates the process of deploying applications to EC2 instances, Lambda functions, or on-premises servers, ensuring consistent application delivery.
13. Which of the following is NOT a feature of AWS Lambda?
A) Automatically scales based on request volume
B) Automatically provisions and manages server infrastructure
C) Supports running code written in any programming language
D) Charges only for execution time, not idle time
Answer: C) Supports running code written in any programming language
Explanation: AWS Lambda supports specific programming languages (e.g., Node.js, Python, Java), but not every language is supported.
14. Which of the following is the best way to securely store sensitive information for an application running on AWS?
A) AWS CloudTrail
B) AWS Systems Manager Parameter Store
C) Amazon S3 with encryption
D) Amazon RDS
Answer: B) AWS Systems Manager Parameter Store
Explanation: AWS Systems Manager Parameter Store securely stores sensitive data, including passwords, API keys, and other configurations.
15. Which AWS service can be used to handle authentication and authorization for web applications?
A) AWS Identity and Access Management (IAM)
B) AWS Lambda
C) Amazon CloudFront
D) AWS Elastic Beanstalk
Answer: A) AWS Identity and Access Management (IAM)
Explanation: AWS IAM allows you to manage access to AWS services and resources securely by creating and managing users, roles, and permissions.
16. Which of the following services is used for distributed storage with low-latency and high-throughput capabilities for big data applications?
A) Amazon DynamoDB
B) Amazon S3
C) Amazon EFS
D) Amazon Redshift
Answer: A) Amazon DynamoDB
Explanation: Amazon DynamoDB is a fully managed NoSQL database service designed for high-throughput, low-latency performance in applications that need fast and predictable data access.
17. How does AWS Lambda handle application scaling?
A) It automatically provisions and scales the infrastructure based on the number of requests
B) It requires manual configuration for scaling
C) It scales by adding more EC2 instances
D) It does not scale and requires pre-provisioned resources
Answer: A) It automatically provisions and scales the infrastructure based on the number of requests
Explanation: AWS Lambda automatically handles scaling by running code in response to events and adjusting resources according to demand.
18. Which AWS service provides a fully managed, scalable, and high-performance database engine for relational databases?
A) Amazon Aurora
B) Amazon DynamoDB
C) Amazon S3
D) AWS Elastic Beanstalk
Answer: A) Amazon Aurora
Explanation: Amazon Aurora is a fully managed relational database engine that is compatible with MySQL and PostgreSQL, offering high performance and scalability.
19. Which service can help identify performance bottlenecks in a production environment?
A) AWS CloudTrail
B) AWS X-Ray
C) Amazon CloudWatch
D) AWS CodePipeline
Answer: B) AWS X-Ray
Explanation: AWS X-Ray helps you analyze and debug production applications, identifying performance bottlenecks and errors in distributed applications.
20. Which of the following AWS services supports creating custom workflows for automating operational tasks?
A) AWS Lambda
B) AWS Step Functions
C) Amazon EC2
D) AWS CloudFormation
Answer: B) AWS Step Functions
Explanation: AWS Step Functions lets you coordinate multiple AWS services into serverless workflows, enabling automation of operational tasks.
21. What does Amazon API Gateway help with in AWS?
A) Creating and managing APIs for backend services
B) Deploying applications to EC2 instances
C) Managing users and access to AWS resources
D) Storing large amounts of data
Answer: A) Creating and managing APIs for backend services
Explanation: Amazon API Gateway is a managed service that helps create, publish, maintain, monitor, and secure APIs for backend services.
22. Which of the following AWS services provides version control for source code?
A) AWS CodePipeline
B) AWS CodeCommit
C) AWS CodeDeploy
D) AWS CodeBuild
Answer: B) AWS CodeCommit
Explanation: AWS CodeCommit is a fully managed source control service that hosts secure Git repositories for version control.
23. Which AWS service is ideal for managing containerized applications?
A) Amazon ECS
B) AWS Lambda
C) AWS CodePipeline
D) Amazon RDS
Answer: A) Amazon ECS
Explanation: Amazon ECS (Elastic Container Service) is a fully managed container orchestration service that makes it easy to run, scale, and manage Docker containers.
24. Which AWS service allows you to scale web applications automatically in response to incoming traffic?
A) Amazon CloudFront
B) AWS Auto Scaling
C) Amazon S3
D) Amazon EC2
Answer: B) AWS Auto Scaling
Explanation: AWS Auto Scaling allows you to automatically scale the number of EC2 instances up or down to handle changing traffic loads.
25. Which of the following can help optimize performance in a serverless application?
A) Use Amazon EC2 instances
B) Reduce the number of Lambda function executions
C) Use AWS X-Ray for tracing
D) Use AWS Elastic Beanstalk for deployment
Answer: C) Use AWS X-Ray for tracing
Explanation: AWS X-Ray helps you trace requests as they travel through your serverless application, identifying bottlenecks and optimizing performance.
26. What is the benefit of using AWS IAM roles for Lambda functions?
A) Allow Lambda functions to access other AWS services securely
B) Provide authentication for Lambda functions
C) Encrypt Lambda function code
D) Store Lambda function code in IAM roles
Answer: A) Allow Lambda functions to access other AWS services securely
Explanation: IAM roles allow AWS Lambda functions to securely access other AWS services by granting them appropriate permissions.
27. Which AWS service is used for monitoring API usage and security?
A) Amazon CloudWatch
B) AWS WAF
C) Amazon API Gateway
D) AWS X-Ray
Answer: B) AWS WAF
Explanation: AWS WAF (Web Application Firewall) helps monitor and control incoming HTTP(S) requests to your applications, protecting them from security threats like SQL injection and DDoS attacks.
28. Which AWS service is used for building machine learning models for application integration?
A) AWS Lambda
B) Amazon SageMaker
C) Amazon EC2
D) AWS CodeDeploy
Answer: B) Amazon SageMaker
Explanation: Amazon SageMaker is a fully managed service that enables you to build, train, and deploy machine learning models at scale.
29. Which AWS service provides managed, real-time messaging for microservices communication?
A) Amazon SNS
B) AWS Step Functions
C) Amazon SQS
D) AWS Lambda
Answer: C) Amazon SQS
Explanation: Amazon SQS (Simple Queue Service) is a managed message queuing service that enables decoupling of microservices, facilitating asynchronous communication.
30. What is the main advantage of using Amazon DynamoDB for an application requiring a high rate of read and write operations?
A) It is a fully managed relational database
B) It is optimized for handling NoSQL workloads at scale
C) It supports multi-region deployments out of the box
D) It is a traditional SQL database
Answer: B) It is optimized for handling NoSQL workloads at scale
Explanation: Amazon DynamoDB is designed for high-performance, low-latency, and scalable NoSQL databases, making it ideal for high-volume read and write operations.
