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To earn the Amazon DVA-C02 certification, candidates must pass a 130-minute exam that consists of 65 multiple-choice and multiple-response questions. DVA-C02 exam is available in multiple languages and can be taken online or at a testing center. DVA-C02 exam fee is $150, and candidates must renew their certification every two years to stay up-to-date with the latest AWS technologies and best practices. The Amazon DVA-C02 certification is a valuable credential for developers who want to advance their careers and demonstrate their expertise in AWS application development.

Amazon DVA-C02 Certification is valuable for developers, solutions architects, and system administrators who want to demonstrate their expertise in developing and deploying applications on AWS. AWS Certified Developer - Associate certification is recognized globally and can help professionals advance their careers and increase their earning potential. Certified professionals are also eligible for the AWS Certified Solutions Architect – Associate and AWS Certified DevOps Engineer – Professional certifications.

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Amazon DVA-C02 Exam consists of 65 multiple-choice and multiple-response questions that must be completed within 130 minutes. DVA-C02 exam fee is $150, and it can be taken online or at a testing center. Candidates who successfully pass the exam will receive the AWS Certified Developer - Associate certification, which is valid for three years. They will also be listed in the AWS Certified Developer - Associate directory and have access to exclusive AWS certification events and resources.

Amazon AWS Certified Developer - Associate Sample Questions (Q875-Q880):

NEW QUESTION # 875
An ecommerce company has an integration with a payment processing service that publishes messages about payment activities to an Amazon SNS topic. A developer is building an AWS Lambda function to process payment refunds from the SNS topic. The Lambda function must process only messages related to refunds.
Which solution will meet this requirement in the MOST operationally efficient way?

A. Use SNS subscription filter policies to allow only refund messages from the topic to invoke the Lambda function.
B. Configure the Lambda function to increase the BatchSize parameter and the MaximumBatchingWindowInSeconds parameter. Update the Lambda function code to handle batches of messages.
C. Use a Lambda event filter to allow only refund messages from the SNS topic to invoke the Lambda function.
D. Change the Lambda function code to check the received message type. Configure the function to stop processing immediately if the message is not a refund message.

Answer: A

Explanation:
The correct answer is C because Amazon SNS subscription filter policies are the native AWS feature for ensuring that only messages with matching attributes are delivered to a specific subscription. In this scenario, the Lambda function should process only refund messages from an SNS topic that contains multiple payment activity message types. By applying a subscription filter policy to the Lambda subscription, SNS delivers only the refund-related notifications to the function.
This is the most operationally efficient solution because filtering happens before invocation of the Lambda function. That means the Lambda function is not triggered for irrelevant payment events, which reduces unnecessary invocations, lowers compute cost, and simplifies the function code. AWS documentation recommends using subscription filter policies with SNS when subscribers should receive only a subset of messages based on message attributes.
Option A is incorrect because Lambda event filtering is available for some event sources, but for SNS-to- Lambda integration , the AWS-native filtering point is the SNS subscription itself. Option B is less efficient because it still invokes the Lambda function for every message and then discards non-refund messages in code. That increases operational overhead and cost. Option D is unrelated to the requirement because batching changes invocation behavior but does not filter by message type.
Therefore, the best design is to publish all payment activity events to SNS with appropriate message attributes and configure an SNS subscription filter policy so that only refund messages invoke the Lambda function.
This approach is simple, scalable, and aligns with AWS event-driven architecture best practices.

NEW QUESTION # 876
A developer is creating a template that uses AWS CloudFormation to deploy an application. The application is serverless and uses Amazon API Gateway, Amazon DynamoDB, and AWS Lambda.
Which AWS service or tool should the developer use to define serverless resources in YAML?

A. CloudFormation serverless intrinsic functions
B. AWS Serverless Application Model (AWS SAM)
C. AWS Cloud Development Kit (AWS CDK)
D. AWS Elastic Beanstalk

Answer: B

NEW QUESTION # 877
A developer is building an application that uses an Amazon RDS for PostgreSQL database. To meet security requirements, the developer needs to ensure that data is encrypted at rest. The developer must be able to rotate the encryption keys on demand. Which solution will meet these requirements?

A. Create a 256-bit AES-GCM encryption key. Store the key in AWS Secrets Manager, and enable managed rotation. Use the key to encrypt the database.
B. Create a symmetric customer managed AWS KMS key. Use the key to encrypt the database.
C. Use an AWS KMS managed encryption key to encrypt the database.
D. Create a 256-bit AES-GCM encryption key. Store the key in AWS Secrets Manager. Configure an AWS Lambda function to perform key rotation. Use the key to encrypt the database.

Answer: B

Explanation:
A customer-managed AWS Key Management Service (KMS) key allows for encryption at rest and provides the ability to rotate the key on demand. This ensures compliance with security requirements for key management and database encryption. RDS integrates natively with AWS KMS, allowing the use of a customer-managed key for encrypting data at rest.
Key rotation can be managed directly in AWS KMS without needing custom solutions.

NEW QUESTION # 878
A company has three AWS Lambda functions that are written in Node.js. The Lambda functions include a mix of custom code and open source modules. When bugs are occasionally detected in the open source modules, all three Lambda functions must be patched. What is the MOST operationally efficient solution to deploy a patched open source library for all three Lambda functions?

A. Create a Lambda layer with the open source modules. Modify all three Lambda functions to depend on the layer. Remove the open source modules from each Lambda function. Patch the Lambda layer with the modified open source modules when needed. Update the Lambda functions to reference the new layer version.
B. Create a custom AWS CloudFormation public registry extension. Reference a GitHub repository that hosts the open source modules in the extension. Configure CloudFormation to scan the repository once each day. Write an AWS SAM template to redeploy the three Lambda functions upon a scan notification change.
C. Launch an Amazon EC2 instance. Host a private open source module registry on the EC2 instance. Upload the modified open source modules to the private registry when needed. Modify each Lambda function deployment script to download the modules from the private registry.
Redeploy the three new Lambda functions.
D. Create an Amazon CloudFront distribution with an Amazon S3 bucket as the origin. Upload the patched modules to Amazon S3 when needed. Modify each Lambda function to download the patched modules from the CloudFront distribution during the cold start.

Answer: A

Explanation:
Lambda layers are the most operationally efficient way to share common libraries across multiple Lambda functions. AWS documentation states that layers are specifically intended to package dependencies that you want to reuse across functions and update independently of the function code. By moving the open source modules into a shared layer, the company can patch the library once, publish a new layer version, and update the three functions to reference that version instead of patching each function's deployment package separately.

NEW QUESTION # 879
A company hosts its application on AWS. The application runs on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS Fargate. The cluster runs behind an Application Load Balancer The application stores data in an Amazon Aurora database A developer encrypts and manages database credentials inside the application The company wants to use a more secure credential storage method and implement periodic credential rotation.
Which solution will meet these requirements with the LEAST operational overhead?

A. Migrate the credentials to ECS Fargate environment variables. Encrypt the credentials by using an AWS Key Management Service (AWS KMS) key Turn on secret rotation. Use 1AM policies and roles to grant Amazon ECS Fargate permissions to access to AWS Secrets Manager.
B. Migrate the credentials to AWS Secrets Manager. Encrypt the credentials by using an AWS Key Management Service (AWS KMS) key Turn on secret rotation Use 1AM policies and roles to grant Amazon ECS Fargate permissions to access to AWS Secrets Manager by using keys.
C. Migrate the secret credentials to Amazon RDS parameter groups. Encrypt the parameter by using an AWS Key Management Service (AWS KMS) key Turn on secret rotation. Use 1AM policies and roles to grant AWS KMS permissions to access Amazon RDS.
D. Migrate the credentials to AWS Systems Manager Parameter Store. Encrypt the parameter by using an AWS Key Management Service (AWS KMS) key. Turn on secret rotation. Use 1AM policies and roles to grant Amazon ECS Fargate permissions to access to AWS Secrets Manager

Answer: B

Explanation:
Secrets Management: AWS Secrets Manager is designed specifically for storing and managing sensitive credentials.
Built-in Rotation: Secrets Manager provides automatic secret rotation functionality, enhancing security posture significantly.
IAM Integration: IAM policies and roles grant fine-grained access to ECS Fargate, ensuring the principle of least privilege.
Reduced Overhead: This solution centralizes secrets management and automates rotation, reducing operational overhead compared to the other options.
Reference:
AWS Secrets Manager: https://aws.amazon.com/secrets-manager/
Secrets Manager Rotation: https://docs.aws.amazon.com/secretsmanager/latest/userguide/rotating-secrets.html IAM for Secrets Manager: https://docs.aws.amazon.com/secretsmanager/latest/userguide/auth-and-access_iam-policies.html

NEW QUESTION # 880
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