1500 Questions | AWS Certified Developer – Associate 2026

Detailed Exam Domain CoverageApplication Development (46%)Develop scalable, secure, and high-quality cloud-based applications using AWS services. Choose the appropriate AWS services to enable serverless architecture. Design and implement event-driven computing using AWS Lambda and Apache ActiveMQ.

Integration and Security (28%)Integrate AWS services using SDKs, AWS CLI, and AWS Management Console. Implement proper security controls, including authentication and authorization. Implement secure encryption, access control, and authentication mechanisms.

Deployment and Operation (26%)Deploy cloud-based applications using AWS services, such as AWS CodePipeline and AWS CodeCommit. Design and implement logging and monitoring for AWS cloud-based applications. Implement automated deployment and rollback using AWS CodeDeploy.

Course DescriptionPassing the AWS Certified Developer – Associate certification requires more than just reading documentation; it requires hands-on familiarity with how AWS services interact and how to troubleshoot them in real-world scenarios. I designed this massive, 1500-question practice test bank to provide an exact simulation of the exam environment, giving you the exposure needed to pass on your first attempt. Through these carefully crafted questions, you will encounter the same tricky wording, scenario-based architecture problems, and service-limit troubleshooting found on the actual exam.

Every single question comes with a highly detailed explanation, breaking down exactly why the correct answer works and, equally important, why the incorrect options are fundamentally flawed. I have structured these tests to heavily reflect the official exam weighting. You will spend significant time evaluating serverless application architectures, securing APIs, and automating deployment pipelines.

By practicing with this extensive question bank, you will naturally build the pattern recognition needed to spot the right architectural choices quickly, saving you valuable time during the actual test. Practice Questions PreviewQuestion 1: Application Development A developer is building a serverless real-time voting application. Every time a new vote is inserted into an Amazon DynamoDB table, an AWS Lambda function must immediately process the record to update a live leaderboard.

Which combination of services and features provides the most efficient and scalable solution? A) Configure an Amazon SQS queue to poll the DynamoDB table every minute and trigger the Lambda function. B) Enable DynamoDB Streams and configure the stream as an event source mapping for the AWS Lambda function.

C) Create an Amazon EventBridge rule that listens for DynamoDB API calls via CloudTrail to trigger Lambda. D) Modify the application code to write to an Amazon Kinesis Data Stream simultaneously with the DynamoDB write. E) Set up an Amazon SNS topic and configure the DynamoDB table to publish an event to the topic on every write.

F) Use Amazon CloudWatch Alarms to monitor the DynamoDB WriteCapacityUnits and trigger Lambda on spikes. Correct Answer: B Overall Explanation: DynamoDB Streams captures a time-ordered sequence of item-level modifications in a DynamoDB table. When paired with AWS Lambda as an event source mapping, Lambda automatically polls the stream and executes the function synchronously whenever new records (votes) are detected, making it the perfect serverless, event-driven pattern for this scenario.

Option Explanations:A) Incorrect. SQS cannot natively poll DynamoDB. Writing a custom polling mechanism adds unnecessary compute overhead and delay, violating the "real-time" and efficient requirements.

B) Correct. DynamoDB Streams directly integrates with Lambda to provide near real-time processing of database changes without manual polling. C) Incorrect.

CloudTrail API logging is not designed for data-level (item-level) real-time streaming. It logs control plane actions and has a delay of up to 15 minutes. D) Incorrect.

While Kinesis can trigger Lambda, modifying the application code to perform dual writes (to DynamoDB and Kinesis) introduces unnecessary complexity and potential data inconsistency. E) Incorrect. DynamoDB cannot natively publish item-level changes directly to an SNS topic.

F) Incorrect. CloudWatch Alarms monitoring WCU metrics only tells you the table is under load; it does not pass the actual vote data required to update the leaderboard. Question 2: Integration and Security An application stores sensitive financial documents in an Amazon S3 bucket.

Compliance regulations mandate that all data must be encrypted at rest. Furthermore, the security team must maintain a full audit trail showing exactly when and by whom the encryption keys were used. Which encryption method should the developer implement?

A) Server-Side Encryption with Amazon S3 Managed Keys (SSE-S3). B) Client-Side Encryption using a locally generated master key. C) Server-Side Encryption with Customer-Provided Keys (SSE-C).

D) Server-Side Encryption with AWS KMS Managed Keys (SSE-KMS). E) Store the S3 objects natively but encrypt the S3 bucket using AWS Secrets Manager. F) Implement AWS Certificate Manager (ACM) to encrypt the objects before upload.

Correct Answer: D Overall Explanation: The core requirement here is the need for an audit trail of key usage. AWS Key Management Service (KMS) seamlessly integrates with AWS CloudTrail to log all key usage events, showing who used the key, which key was used, and when. SSE-KMS provides both the required encryption at rest and the strict auditing capabilities demanded by the security team.

Option Explanations:A) Incorrect. SSE-S3 encrypts data at rest, but AWS manages the keys entirely. It does not provide an audit trail of key usage in CloudTrail.

B) Incorrect. With Client-Side Encryption using local keys, AWS has no visibility into the keys, making it impossible to provide an automated, centralized audit trail via AWS services. C) Incorrect.

With SSE-C, the customer provides the key for every upload/download. S3 uses it for encryption/decryption and then discards it. AWS does not log the usage of customer-provided keys.

D) Correct. SSE-KMS leverages AWS KMS, which logs all encryption and decryption API calls directly to AWS CloudTrail, satisfying the compliance requirement. E) Incorrect.

AWS Secrets Manager is used to rotate, manage, and retrieve database credentials and API keys, not to encrypt entire S3 buckets or objects. F) Incorrect. AWS Certificate Manager (ACM) provisions and manages SSL/TLS certificates for data in transit, not data at rest in S3.

Question 3: Deployment and Operation A developer is using AWS CodeDeploy to update a critical application hosted on an Amazon EC2 Auto Scaling group. The developer wants to ensure that if the newly deployed version introduces high error rates, the deployment automatically stops and reverts to the previous working version. How can this be achieved with minimal operational overhead?

A) Configure a pre-traffic AWS Lambda hook to test the application and manually trigger a rollback script if it fails. B) Create an AWS Systems Manager Automation document that monitors the instances and terminates them if errors occur. C) Configure Amazon CloudWatch Alarms for the application errors and configure CodeDeploy to automatically roll back when the alarm is breached.

D) Use AWS CodeCommit to detect faulty code pushes and automatically revert the commit in the repository. E) Set up an AWS CodeBuild stage to run load tests and stop the CodePipeline if the error rate exceeds a specific threshold. F) Manually monitor the CloudWatch Logs during the deployment and click "Stop and Rollback" in the AWS Management Console if needed.

Correct Answer: C Overall Explanation: AWS CodeDeploy supports automated rollbacks. You can configure deployments to roll back automatically when a deployment fails or when a specified Amazon CloudWatch alarm is activated. By setting an alarm on application error metrics, CodeDeploy will handle the rollback natively and automatically if the new deployment causes issues.

Option Explanations:A) Incorrect. While Lambda lifecycle hooks can be used for validation, relying on a custom, manual rollback script inside a Lambda function adds high operational overhead and is error-prone compared to native features. B) Incorrect.

Terminating instances via Systems Manager does not properly instruct CodeDeploy to halt the deployment process and safely restore the last known good revision across the fleet. C) Correct. CodeDeploy integrates directly with CloudWatch Alarms to automatically halt and roll back deployments when error thresholds are breached, requiring no custom scripting.

D) Incorrect. Reverting a commit in CodeCommit only changes the source code. It does not actively stop an ongoing deployment on EC2 instances or restore the previous binaries.

E) Incorrect. CodeBuild runs before the application is deployed to the EC2 instances. It cannot monitor the live deployment error rates of the newly running application.

F) Incorrect. The scenario specifically asks for the deployment to automatically stop and revert. Manual monitoring requires human intervention and increases the time to resolution.

Welcome to the Mock Exams Practice Tests Academy to help you prepare for your AWS Certified Developer – Associate. You can retake the exams as many times as you wantThis is a huge original question bankYou get support from instructors if you have questionsEach question has a detailed explanationMobile-compatible with the Udemy appI hope that by now you're convinced! And there are a lot more questions inside the course.