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Amazon DVA-C02 Dumps - Pass AWS Certified Developer - Associate Exam in 2026
The Amazon DVA-C02 - AWS Certified Developer - Associate exam belongs to the Amazon Associate,AWS Certified Developer Associate certification track. It is designed for developers who work with AWS services and want to validate their ability to build, deploy, secure, and troubleshoot cloud applications. This certification is important for professionals who want to prove practical AWS development skills and strengthen their cloud career path.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Development with AWS Services | SDK usage, Lambda integration, API interactions, application data storage | 40% |
| 2 | Security | IAM roles and policies, authentication, authorization, secrets management | 20% |
| 3 | Deployment | CI/CD pipelines, application packaging, versioning, deployment strategies | 20% |
| 4 | Troubleshooting and Optimization | Monitoring and logging, performance tuning, error analysis, cost optimization | 20% |
The exam tests how well candidates can apply AWS development knowledge in real scenarios. It checks practical understanding of service integration, secure application design, deployment workflows, and issue resolution under time pressure. Strong hands-on familiarity with AWS tools and services is essential for success.
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QA4Exam.com provides Exam PDF materials with actual questions and answers plus an Online Practice Test to help you prepare for the Amazon DVA-C02 exam efficiently. The practice test gives you a real exam simulation so you can understand the question style and improve your time management. The content is updated and includes verified answers, helping you focus on the most relevant exam points. With these resources, you can review faster, practice smarter, and build confidence for a first attempt pass.
Frequently Asked Questions
What is the Amazon DVA-C02 exam?
The Amazon DVA-C02 is the AWS Certified Developer - Associate exam. It validates your ability to develop, deploy, secure, and troubleshoot applications on AWS.
Who should take the AWS Certified Developer - Associate exam?
This exam is for developers who work with AWS services and want to prove their cloud application development skills. It is suitable for candidates aiming to grow in AWS-focused development roles.
Is the DVA-C02 exam difficult?
The difficulty depends on your hands-on AWS experience and preparation level. Candidates who understand AWS development services, security, deployment, and troubleshooting usually find it more manageable.
Can I pass with only braindumps?
Braindumps alone are not a complete replacement for real understanding. They are best used as a review tool along with hands-on practice and topic study.
Do I need hands-on experience to pass DVA-C02?
Yes, hands-on experience is very helpful because the exam focuses on practical AWS development scenarios. Real practice makes it easier to understand service behavior and answer scenario-based questions.
Are QA4Exam.com dumps and practice tests enough for first attempt success?
They are designed to support first attempt success by providing actual questions and answers, verified content, and exam-style practice. For best results, use them with review and hands-on preparation.
What format do the QA4Exam.com materials use?
QA4Exam.com offers an Exam PDF and an Online Practice Test. These formats help you study offline, practice in a simulated exam environment, and check your readiness before test day.
The questions for DVA-C02 were last updated on Jun 7, 2026.
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A developer is migrating a containerized application from an on-premises environment to an Amazon ECS cluster.
In the on-premises environment, the container uses a Docker file to store the application. Service dependency configurations such as databases, caches, and storage volumes are stored in a docker-compose.yml file.
Both files are located at the top level of the code base that the developer needs to containerize. When the developer deploys the code to Amazon ECS, the instructions from the Docker file are carried out. However, none of the configurations from docker-compose.yml are applied.
The developer needs to resolve the error and ensure the configurations are applied.
Why Option B is Correct:Amazon ECS does not natively process docker-compose.yml files. Instead, the configurations from docker-compose.yml must be converted into ECS-compatible configurations within a task definition. Task definitions are the primary way to specify container configurations in ECS, including service dependencies like databases, caches, and volumes.
Steps to Resolve the Error:
Extract the configurations from the docker-compose.yml file.
Map the dependencies and settings to the appropriate ECS task definition fields.
Deploy the task definition to the ECS cluster.
Why Other Options are Incorrect:
Option A: Docker labels do not directly impact ECS task execution or integrate with ECS service configurations.
Option C: ECS namespaces do not exist as a feature.
Option D: Changing the service type to REPLICA does not resolve the issue of missing service dependency configurations.
AWS Documentation Reference:
Amazon ECS Task Definitions
Migrating Docker Compose Workloads to ECS
An application routinely processes a large number of Amazon S3 GET requests each second. A developer wants to increase the number of requests that the application can handle in parallel.
What should the developer do to achieve this goal?
Amazon S3 automatically scales to handle high request rates, but request parallelism is optimized when objects are distributed across multiple prefixes. AWS documentation explains that S3 internally partitions data by key name, and distributing objects across multiple prefixes allows requests to be spread across multiple partitions.
When many GET requests target objects within the same prefix, they may contend for the same internal partition, limiting throughput. By designing object keys with multiple prefixes---such as including hashed or randomized components---applications can significantly increase parallel request handling.
Options A and D do not address S3 request partitioning. Global Accelerator improves network latency for supported endpoints but does not increase S3 request parallelism. Direct Connect improves network consistency but does not change how S3 scales requests internally. Option B worsens the problem by concentrating traffic into a single prefix.
Therefore, partitioning objects by prefixes is the correct and AWS-recommended solution.
A developer needs to set up an API to provide access to an application and its resources. The developer has a TLS certificate. The developer must have the ability to change the default base URL of the API to a custom domain name. The API users are distributed globally. The solution must minimize API latency.
Comprehensive and Detailed Step-by-Step
Option C: Edge-Optimized API Gateway with Custom Domain Name:
Edge-Optimized API Gateway: This endpoint type automatically leverages the Amazon CloudFront global distribution network, minimizing latency for API users distributed globally.
Custom Domain Name: API Gateway supports custom domain names for APIs. Importing the TLS certificate into AWS Certificate Manager (ACM) and associating it with the custom domain name ensures secure connections.
Disabling the Default Endpoint: Prevents direct access via the default API Gateway URL, enforcing the use of the custom domain name.
Why Other Options Are Incorrect:
Option A: While CloudFront can distribute API requests globally, API Gateway with edge-optimized endpoints already provides this functionality natively without requiring Lambda@Edge.
Option B: Private endpoint types are used for internal access via VPC, which does not meet the global distribution and low-latency requirement.
Option D: CloudFront Functions are not needed because API Gateway's edge-optimized endpoints handle global distribution efficiently.
Amazon API Gateway Custom Domain Names
Amazon API Gateway Endpoint Types
A developer needs to give a new application the ability to retrieve configuration data.
The application must be able to retrieve new configuration data values without the need to redeploy the application code. If the application becomes unhealthy because of a bad configuration change, the developer must be able to automatically revert the configuration change to the previous value.
Comprehensive and Detailed Step-by-Step
Option D: AWS AppConfig with CloudWatch Application Signals
AWS AppConfig is designed for managing and deploying application configurations dynamically, without redeployment.
CloudWatch Application Signals provide automatic rollback mechanisms in case of an unhealthy application state due to bad configuration changes.
This solution meets the requirements with minimal operational overhead by ensuring both dynamic updates and rollback functionality.
Why Other Options Are Incorrect:
Option A and B: AWS Secrets Manager is designed for secrets management, not dynamic application configuration. Custom Config rules add unnecessary complexity.
Option C: While CloudWatch alarms can monitor application changes, using alarms for rollback requires manual setup and lacks the automatic rollback provided by Application Signals.
AWS AppConfig Documentation
A developer at a company has created a containerized application to serve public reporting APIs. The developer needs to migrate the application to run by using an Amazon ECS service. However, the company does not want to manage the underlying hosts that run the application. The developer must be able to monitor CPU and memory utilization of the application by using the Amazon CloudWatch console. Which combination of actions will meet these requirements? (Select TWO.)
The correct answers are D and E.
The requirement states that the company does not want to manage the underlying hosts. That means the containerized application should run on AWS Fargate, which is the serverless compute engine for Amazon ECS. With Fargate, AWS manages the underlying infrastructure, so the company does not need to provision, patch, or scale EC2 instances. To run a task on Fargate, the task definition must specify FARGATE in the requiresCompatibilities field. That is why D is correct.
The developer also needs to monitor CPU and memory utilization in the Amazon CloudWatch console. For ECS tasks on Fargate, the task definition must specify valid CPU and memory values. These values define the task's resource allocation and enable ECS and CloudWatch to report utilization metrics against those configured resources. Therefore, E is also required.
Option A applies to ECS on EC2, where the company would manage cluster instances, which violates the requirement. Option B is unnecessary because ECS and CloudWatch already provide the needed service metrics without requiring a custom script. Option C is incorrect because the task does not need cloudwatch:GetMetricData permission merely for CloudWatch to display CPU and memory utilization metrics.
This design follows AWS best practices for running containers without host management while still gaining built-in observability. By selecting Fargate and defining the CPU and memory values in the task definition, the application can run serverlessly on ECS and expose the required utilization metrics in CloudWatch.
Therefore, the correct combination is D and E.
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