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Amazon DVA-C02 Exam is an AWS Certified Developer – Associate certification exam offered by Amazon Web Services (AWS). It is designed for individuals who have experience in developing and maintaining AWS-based applications. DVA-C02 exam validates the candidate's ability to design, develop, and deploy cloud-based applications using AWS services and tools. AWS Certified Developer - Associate certification is intended for those who want to advance their career as an AWS developer and become proficient in building cloud-based applications.

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Amazon DVA-C02 (AWS Certified Developer - Associate) Exam is a certification exam that is designed to test the knowledge and skills of individuals who are interested in becoming AWS Certified Developers. DVA-C02 exam is ideal for developers who have experience in developing and maintaining applications on the AWS platform. DVA-C02 exam assesses the candidate's ability to design, develop, and deploy cloud-based solutions using AWS services and tools.

To be eligible for the Amazon DVA-C02 Certification Exam, candidates should have at least one year of hands-on experience in developing and maintaining applications on AWS. They should also have a strong understanding of AWS services and architecture, as well as proficiency in at least one programming language such as Java, Python, or Ruby. DVA-C02 exam consists of 65 multiple-choice and multiple-answer questions, and candidates have 130 minutes to complete it.

Amazon AWS Certified Developer - Associate Sample Questions (Q78-Q83):

NEW QUESTION # 78
A company has a serverless application that uses an Amazon API Gateway API to invoke an AWS Lambda function. A developer creates a fix for a defect in the Lambda function code. The developer wants to deploy this fix to the production environment.
To test the changes, the developer needs to send 10% of the live production traffic to the updated Lambda function version.
Which combination of steps will meet these requirements? (Choose two.)

A. Set up a new stage in API Gateway with a new Lambda function version. Enable weighted routing in API Gateway stages.
B. Set up a routing policy on a Network Load Balancer. Configure 10% of the traffic to go to the new Lambda function version.
C. Publish a new version of the Lambda function that contains the updated code.
D. Set up a weighted routing policy by using Amazon Route 53. Configure 10% of the traffic to go to the new Lambda function version.
E. Create an alias for the Lambda function. Configure weighted routing on the alias. Specify a 10% weight for the new Lambda function version.

Answer: C,E

NEW QUESTION # 79
A developer has created an AWS Lambda function to provide notification through Amazon Simple Notification Service (Amazon SNS) whenever a file is uploaded to Amazon S3 that is larger than 50 MB. The developer has deployed and tested the Lambda function by using the CLI. However, when the event notification is added to the S3 bucket and a 3.000 MB file is uploaded, the Lambda function does not launch.
Which of the following Is a possible reason for the Lambda function's inability to launch?

A. Lambda functions cannot be invoked directly from an S3 event.
B. The S3 event notification does not activate for files that are larger than 1.000 MB.
C. The resource-based policy for the Lambda function does not have the required permissions to be invoked by Amazon S3.
D. The S3 bucket needs to be made public.

Answer: C

NEW QUESTION # 80
A developer owns and supports an application that has database credentials stored in environment variables for AWS Lambda functions. The developer needs an alternate storage method for the credentials instead of using plaintext environment variables. Which solution will handle the credentials MOST securely?

A. Use base64 encoding for the database credentials. Include the database credentials in the Lambda function ' s source code as part of a build process. Update the Lambda function ' s code to decode the credentials before the credentials are used.
B. Store the database credentials as a string-type parameter in AWS Systems Manager Parameter Store.
Set the parameter ' s Amazon Resource Name (ARN) as the value of an environment variable. Use the AWS Parameters and Secrets Lambda Extension to retrieve the credentials in the Lambda function.
C. Store the database credentials as a secret in AWS Secrets Manager. Set the secret ' s Amazon Resource Name (ARN) as the value of an environment variable. Use the AWS Parameters and Secrets Lambda Extension to retrieve the credentials in the Lambda function.
D. Use AWS CloudFormation to deploy the application. Ensure that the NoEcho property is set to true for the parameters that contain the database credentials.

Answer: C

Explanation:
The most secure solution is A because AWS Secrets Manager is purpose-built for storing, retrieving, and managing secrets such as database credentials, API keys, and tokens. In AWS guidance, Secrets Manager is recommended when applications need secure secret storage with controlled access, encryption, and integration with runtime retrieval patterns. By storing the credentials as a secret and passing only the secret ARN through an environment variable, the Lambda function avoids exposing the actual username and password in plaintext configuration.
The AWS Parameters and Secrets Lambda Extension is specifically designed to let Lambda functions retrieve secrets securely at invocation time. This reduces the risk of accidental exposure in code, deployment artifacts, or function configuration. Secrets Manager also supports automatic rotation , which is a major security advantage for database credentials and is one of the main reasons AWS recommends it over hardcoded or manually managed values.
Option B is incorrect because base64 is only encoding, not encryption, and embedding credentials in source code is insecure. Option C is less appropriate because a string type parameter in Systems Manager Parameter Store is not the secure choice for sensitive credentials; secure storage there would require SecureString , but even then Secrets Manager is the stronger AWS-recommended service for database secrets. Option D only masks values in CloudFormation outputs and logs with NoEcho ; it does not provide secure runtime secret retrieval or secret lifecycle management.
Therefore, A is the best and most secure answer according to AWS security best practices for Lambda applications handling database credentials.

NEW QUESTION # 81
A company migrates some of its Amazon EC2 workloads to Spot Instances. An infrastructure team wants to determine how often the deployed Spot Instances are interrupted and replaced.
The infrastructure team must publish a custom metric to Amazon CloudWatch for Spot Instance interruptions and replacements.
Which solution will meet this requirement with LEAST development effort?

A. Create an AWS Lambda function that receives an Amazon EC2 lifecycle hook notification every time a Spot Instance is interrupted. For every Spot Instance that is interrupted, publish a value of
1 to a custom metric named SPOT_INSTANCE_TERMINATIONS.
B. Create an AWS Lambda function that receives an Amazon EventBridge notification every time an EC2 instance is interrupted. Check the EC2 instance details to determine whether each instance is a Spot Instance. If the instance is a Spot Instance, publish a value of 1 to a custom metric named SPOT_INSTANCE_TERMINATIONS.
C. Create an AWS Lambda function that receives an Amazon EventBridge notification every time a Spot Instance is interrupted. For every Spot Instance that is interrupted, publish a value of 1 to a custom metric named SPOT_INSTANCE_TERMINATIONS.
D. Create an AWS Lambda function that receives an Amazon EC2 lifecycle hook notification every time an EC2 instance is interrupted. Check the EC2 instance details to determine the lifecycle attribute. If the instance is a Spot Instance, publish a value of 1 to a custom metric named SPOT_INSTANCE_TERMINATIONS.

Answer: C

Explanation:
Amazon EventBridge emits specific events for Spot Instance interruptions. Creating a Lambda function triggered by these Spot interruption events allows direct detection without extra filtering or lifecycle hook configuration, minimizing development effort. The function can then publish a custom CloudWatch metric for each interruption.

NEW QUESTION # 82
A company wants to deploy and maintain static websites on AWS. Each website's source code is hosted in one of several version control systems, including AWS CodeCommit, Bitbucket, and GitHub. The company wants to implement phased releases by using development, staging, user acceptance testing, and production environments in the AWS Cloud. Deployments to each environment must be started by code merges on the relevant Git branch. The company wants to use HTTPS for all data exchange. The company needs a solution that does not require servers to run continuously. Which solution will meet these requirements with the LEAST operational overhead?

A. Host each website on its own Amazon EC2 instance. Write a custom deployment script to bundle each website's static assets. Copy the assets to Amazon EC2. Set up a workflow to run the script when code is merged.
B. Host each website in AWS Elastic Beanstalk with multiple environments. Use the EB CLI to link each repository branch. Integrate AWS CodePipeline to automate deployments from version control code merges.
C. Host each website in different Amazon S3 buckets for each environment. Configure AWS CodePipeline to pull source code from version control. Add an AWS CodeBuild stage to copy source code to Amazon S3.
D. Host each website by using AWS Amplify with a serverless backend. Conned the repository branches that correspond to each of the desired environments. Start deployments by merging code changes to a desired branch.

Answer: D

Explanation:
AWS Amplify is an all in one service for the requirement.
https://docs.aws.amazon.com/amplify/latest/userguide/welcome.html

NEW QUESTION # 83
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