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The DVA-C02 exam covers a wide range of topics related to AWS development, including developing and debugging AWS services, deploying AWS applications, and implementing security and compliance measures. DVA-C02 Exam also tests candidates' ability to use AWS services to create scalable and resilient applications, as well as their knowledge of AWS best practices.

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The AWS Certified Developer - Associate exam is the second level of certification in the AWS Developer track. It is intended for individuals who have a minimum of one year of hands-on experience developing and maintaining AWS-based applications. DVA-C02 Exam is focused on testing the candidate's knowledge of AWS core services and their ability to develop and deploy scalable, highly available, and fault-tolerant applications on the AWS platform.

Amazon AWS Certified Developer - Associate Sample Questions (Q473-Q478):

NEW QUESTION # 473
For a deployment using AWS Code Deploy, what is the run order of the hooks for in-place deployments?

Answer: C

Explanation:
For in-place deployments, AWS CodeDeploy uses a set of predefined hooks that run in a specific order during each deployment lifecycle event. The hooks are ApplicationStop, BeforeInstall, AfterInstall, ApplicationStart, and ValidateService. The run order of the hooks for in-place deployments is as follows:
ApplicationStop: This hook runs first on all instances and stops the current application that is running on the instances.
BeforeInstall: This hook runs after ApplicationStop on all instances and performs any tasks required before installing the new application revision.
AfterInstall: This hook runs after BeforeInstall on all instances and performs any tasks required after installing the new application revision.
ApplicationStart: This hook runs after AfterInstall on all instances and starts the new application that has been installed on the instances.
ValidateService: This hook runs last on all instances and verifies that the new application is running properly on the instances.


NEW QUESTION # 474
A developer is writing a new serverless application for a company. Several other developers must collaborate on the code for this application, and the company expects frequent changes to the code. The developer needs to deploy the code from source control to AWS Lambda with the fewest number of manual steps.
Which strategy for the build and deployment should the developer use to meet these requirements?

Answer: B

Explanation:
The requirement emphasizes collaboration, frequent code changes, and deploying from source control with the fewest manual steps. This aligns with a CI/CD pipeline approach where commits or merges automatically trigger builds and deployments. Using AWS CodePipeline orchestrates the stages (source, build, deploy), and AWS CodeBuild performs the build/package steps for the Lambda/serverless application.
When integrated with a repository (such as CodeCommit, GitHub, or another supported provider), CodePipeline can automatically start when changes are merged into specific branches, enabling consistent, repeatable deployments.
Option C provides the least operational overhead for teams: developers push code and merge pull requests; the pipeline automatically builds artifacts, runs tests (if configured), packages dependencies, and deploys updates to Lambda (often via AWS SAM/CloudFormation under the hood). This removes manual "build on my laptop" drift, prevents inconsistent deployments between developers, and supports frequent iteration safely.
Option B (SAM CLI from a local machine) requires a developer to manually run build/deploy commands and assumes each developer's environment is configured correctly. That increases manual steps and the risk of differences across machines. Option D (uploading zip in the console) is highly manual and not suitable for frequent changes or team collaboration. Option A is also suboptimal because storing built artifacts in source control is an anti-pattern; builds should be reproducible and produced by CI, not committed binaries.
Therefore, C is the best choice: set up CodePipeline + CodeBuild so merges to controlled branches automatically trigger builds and deployments to AWS Lambda with minimal manual intervention.


NEW QUESTION # 475
A company runs its website on AWS. The company posts daily polls on its website and publishes the poll results next day. The website stores user responses in an Amazon DynamoDB table.
After the poll results are published, the company does not need to keep the user responses.
A developer needs to implement a solution that will automatically remove old user responses from the DynamoDB table. The developer adds a new expiration_date attribute to the DynamoDB table. The developer plans to use the expiration_date attribute for the automation.
Which solution will meet these requirements with the LEAST development effort?

Answer: D


NEW QUESTION # 476
A developer is creating an application that will give users the ability to store photos from their cellphones in the cloud. The application needs to support tens of thousands of users. The application uses an Amazon API Gateway REST API that is integrated with AWS Lambda functions to process the photos. The application stores details about the photos in Amazon DynamoDB.
Users need to create an account to access the application. In the application, users must be able to upload photos and retrieve previously uploaded photos. The photos will range in size from 300 KB to 5 MB.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: A

Explanation:
Amazon Cognito user pools is a service that provides a secure user directory that scales to hundreds of millions of users. The developer can use Amazon Cognito user pools to manage user accounts and create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. The developer can use the Lambda function to store the photos in Amazon S3, which is a highly scalable, durable, and secure object storage service. The developer can store the object's S3 key as part of the photo details in the DynamoDB table, which is a fast and flexible NoSQL database service. The developer can retrieve previously uploaded photos by querying DynamoDB for the S3 key and fetching the photos from S3. This solution will meet the requirements with the least operational overhead.
Reference:
[Amazon Cognito User Pools]
[Use Amazon Cognito User Pools - Amazon API Gateway]
[Amazon Simple Storage Service (S3)]
[Amazon DynamoDB]


NEW QUESTION # 477
A developer is using an AWS account to build an application that stores files in an Amazon S3 bucket. Files must be encrypted at rest by AWS KMS keys. A second AWS account must have access to read files from the bucket. The developer wants to minimize operational overhead for the application. Which combination of solutions will meet these requirements? (Choose two.)

Answer: A,C

Explanation:
Using a customer managed KMS key with a key policy granting decrypt permissions to the second AWS account ensures the second account can decrypt the encrypted files.
Creating an S3 bucket policy granting the second AWS account permission to get objects allows secure cross-account access to the bucket contents.


NEW QUESTION # 478
......

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