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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.

Amazon DVA-C02 Certification Exam is designed for individuals who want to become an AWS Certified Developer - Associate. AWS Certified Developer - Associate certification is considered one of the most in-demand certifications in the cloud computing industry due to the increasing demand for AWS developers. AWS Certified Developer - Associate certification exam tests the candidate's skills in developing and maintaining applications on the AWS platform.

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To pass the Amazon DVA-C02 Exam, candidates must have a good understanding of AWS services, programming languages, and application development best practices. They should also have experience working with AWS technologies and be able to demonstrate their ability to design, develop, and deploy cloud-based applications using AWS services.

Amazon AWS Certified Developer - Associate Sample Questions (Q499-Q504):

NEW QUESTION # 499
A developer is building a web and mobile application for two types of users: regular users and guest users. Regular users are required to log in, but guest users do not log in. Users should see only their data, regardless of whether they authenticate. Users need AWS credentials before they can access AWS resources.

A. Generate temporary credentials. Store the temporary credentials in AWS Secrets Manager. Use the temporary credentials to access the required resources.
B. Set up an IAM user that has permissions to the required resources. Hardcode the IAM credentials in the web and mobile application.
C. Generate temporary keys that are stored in AWS KMS. Use the temporary keys to access the required resources.
D. Use an Amazon Cognito identity pool to generate temporary AWS credentials that are linked to an unauthenticated role that has access to the required resources.

Answer: D

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
* Option A: Amazon Cognito Identity Pool with Unauthenticated Role
* Cognito identity pools can generate temporary AWS credentials for both authenticated and unauthenticated users.
* For guest users, Cognito assigns an unauthenticated role with limited permissions, ensuring secure access to only their resources.
* This is the most secure and efficient solution for managing AWS credentials dynamically without hardcoding or storing them.
* Why Other Options Are Incorrect:
* Option B:Hardcoding IAM credentials in the application is insecure and violates best practices.
* Option C and D:Temporary keys stored in KMS or Secrets Manager require additional implementation overhead and do not inherently manage user-specific access.

NEW QUESTION # 500
A company is implementing an application on Amazon EC2 instances. The application needs to process incoming transactions. When the application detects a transaction that is not valid, the application must send a chat message to the company's support team. To send the message, the application needs to retrieve the access token to authenticate by using the chat API.
A developer needs to implement a solution to store the access token. The access token must be encrypted at rest and in transit. The access token must also be accessible from other AWS accounts.
Which solution will meet these requirements with the LEAST management overhead?

A. Encrypt the access token by using an AWS Key Management Service (AWS KMS) customer managed key. Store the access token in an Amazon DynamoDB table. Update the IAM role of the EC2 instances with permissions to access DynamoDB and AWS KMS. Retrieve the token from DynamoDB. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the message to the chat.
B. Use an AWS Systems Manager Parameter Store SecureString parameter that uses an AWS Key Management Service (AWS KMS) AWS managed key to store the access token. Add a resource-based policy to the parameter to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Parameter Store. Retrieve the token from Parameter Store with the decrypt flag enabled. Use the decrypted access token to send the message to the chat.
C. Use AWS Secrets Manager with an AWS Key Management Service (AWS KMS) customer managed key to store the access token. Add a resource-based policy to the secret to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Secrets Manager.
Retrieve the token from Secrets Manager. Use the decrypted access token to send the message to the chat.
D. Encrypt the access token by using an AWS Key Management Service (AWS KMS) AWS managed key.Store the access token in an Amazon S3 bucket. Add a bucket policy to the S3 bucket to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Amazon S3 and AWS KMS. Retrieve the token from the S3 bucket. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the massage to the chat.

Answer: C

Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/secrets-manager-share-between-accounts/
https://docs.aws.amazon.com/secretsmanager/latest/userguide/auth-and-access_examples_cross.html

NEW QUESTION # 501
A developer is building an application that gives users the ability to view bank account from multiple sources in a single dashboard. The developer has automated the process to retrieve API credentials for these sources.
The process invokes an AWS Lambda function that is associated with an AWS CloudFormation cotton resource.
The developer wants a solution that will store the API credentials with minimal operational overhead.
When solution will meet these requirements?

A. Use the AWS SDK ssm PutParameter operation in the Lambda function from the existing custom resources to store the credentials as a parameter. Set the parameter value to reference the new credentials. Set the parameter NoEcho attribute to true.
B. Use the AWS SDK ssm PutParameter operation in the Lambda function from the existing, custom resource to store the credentials as a parameter. Set the parameter value to reference the new credentials. Set ma parameter type to SecureString.
C. Add an AWS Secrets Manager GenerateSecretString resource to the CloudFormation template. Set the value to reference new credentials to the Cloudformation resource.
D. Add an AWS Systems Manager Parameter Store resource to the CloudFormation template. Set the CloudFormation resource value to reference the new credentials Set the resource NoEcho attribute to true.

Answer: B

Explanation:
The solution that will meet the requirements is to use the AWS SDK ssm PutParameter operation in the Lambda function from the existing custom resource to store the credentials as a parameter. Set the parameter value to reference the new credentials. Set the parameter type to SecureString. This way, the developer can store the API credentials with minimal operational overhead, as AWS Systems Manager Parameter Store provides secure and scalable storage for configuration data. The SecureString parameter type encrypts the parameter value with AWS Key Management Service (AWS KMS). The other options either involve adding additional resources to the CloudFormation template, which increases complexity and cost, or do not encrypt the parameter value, which reduces security.
Reference: Creating Systems Manager parameters

NEW QUESTION # 502
A developer warns to add request validation to a production environment Amazon API Gateway API. The developer needs to test the changes before the API is deployed to the production environment. For the lest the developer will send test requests to the API through a testing tool.
Which solution will meet these requirements with the LEAST operational overhead?

A. Export the existing API to an OpenAPI file. Create a new API Import the OpenAPI file Modify the new API to add request validation. Perform the tests Modify the existing API to add request validation. Deploy the existing API to production.
B. Clone the exiting API Modify the new API lo add request validation. Perform the tests Modify the existing API to add request validation Deploy the existing API to production.
C. Modify the existing API to add request validation. Deploy the updated API to a new API Gateway stage Perform the tests Deploy the updated API to the API Gateway production stage.
D. Create a new API Add the necessary resources and methods including new request validation. Perform the tests Modify the existing API to add request validation. Deploy the existing API to production.

Answer: B

Explanation:
This solution allows the developer to test the changes without affecting the production environment. Cloning an API creates a copy of the API definition that can be modified independently. The developer can then add request validation to the new API and test it using a testing tool. After verifying that the changes work as expected, the developer can apply the same changes to the existing API and deploy it to production.

NEW QUESTION # 503
A developer compiles an AWS Lambda function and packages the result as a .zip file. The developer uses the Functions page on the Lambda console to attempt to upload the local packaged .zip file. When pushing the package to Lambda, the console returns the following error:

Which solutions can the developer use to publish the code? (Select TWO.)

A. Repackage the Lambda function as a Docker container image. Upload the image to Amazon Elastic Container Registry {Amazon ECR). Create a new Lambda function by using the Lambda console.
Reference the image that is deployed to Amazon ECR.
B. Use the update-function-code AWS CLI command. Pass the -publish parameter.
C. Sign the .zip file digitally. Create a new Lambda function by using the Lambda console. Update the configuration of the new Lambda function to include the Amazon Resource Name (ARN) of the code signing configuration.
D. Upload the package to Amazon S3. Use the Functions page on the Lambda console to upload the package from the S3 location.
E. Create an AWS Support ticket to increase the maximum package size.

Answer: A,D

NEW QUESTION # 504
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