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Realistic Amazon DVA-C02 Pass4sure Exam Prep Are Leading Materials & Trusted DVA-C02: AWS Certified Developer - Associate

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Amazon AWS Certified Developer - Associate Sample Questions (Q17-Q22):

NEW QUESTION # 17
A company must deploy all its Amazon RDS DB instances by using AWS CloudFormation templates as part of AWS CodePipeline continuous integration and continuous delivery (CI/CD) automation. The primary password for the DB instance must be automatically generated as part of the deployment process.
Which solution will meet these requirements with the LEAST development effort?

  • A. Create an AWS Lambda-backed CloudFormation custom resource. Write Lambda code that generates a secure string. Return the value of the secure string as a data field of the custom resource response object. Use the CloudFormation Fn::GetAtt intrinsic function to get a value of the secure string. Create secrets in AWS Secrets Manager. Use the secretsmanager dynamic reference to use the value stored in the secret to create the DB instance.
  • B. Use the AWS::SecretsManager::Secret resource to generate a secure string. Store the secure string as a secret in AWS Secrets Manager. Use the secretsmanager dynamic reference to use the value stored in the secret to create the DB instance.
  • C. Create an AWS Lambda-backed CloudFormation custom resource. Write Lambda code that generates a secure string. Return the value of the secure string as a data field of the custom resource response object. Use the CloudFormation Fn::GetAtt intrinsic function to get the value of the secure string. Use the value to create the DB instance.
  • D. Use the AWS CodeBuild action of CodePipeline to generate a secure string by using the following AWS CLI command: aws secretsmanager get-random-password. Pass the generated secure string as a CloudFormation parameter with the NoEcho attribute set to true. Use the parameter reference to create the DB instance.

Answer: B

Explanation:
With AWS CloudFormation, you can retrieve a secret to use in another AWS CloudFormation resource. A common scenario is to first create a secret with a password generated by Secrets Manager, and then retrieve the username and password from the secret to use as credentials for a new database.
https://docs.aws.amazon.com/secretsmanager/latest/userguide/cfn-example_reference- secret.html


NEW QUESTION # 18
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.

  • A. Add the details from the docker-compose.yml file to an ECS task definition. Associate the task with the ECS cluster.
  • B. Update the service type of the ECS cluster to REPLICA, and redeploy the stack.
  • C. Store the file path for the docker-compose.yml file as a Docker label. Add the label to the ECS cluster's container details.
  • D. Create a namespace in the ECS cluster. Associate the docker-compose.yml file to the namespace.

Answer: A

Explanation:
Comprehensive Detailed Explanation with all AWS Reference
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


NEW QUESTION # 19
A developer designed an application on an Amazon EC2 instance The application makes API requests to objects in an Amazon S3 bucket Which combination of steps will ensure that the application makes the API requests in the MOST secure manner? (Select TWO.)

  • A. Create an 1AM role that has permissions to the S3 bucket Assign the role to an 1AM group
  • B. Store the credentials of the IAM user in the environment variables on the EC2 instance
  • C. Create an IAM role that has permissions to the S3 bucket
  • D. Create an IAM user that has permissions to the S3 bucket. Add the user to an 1AM group
  • E. Add the IAM role to an instance profile. Attach the instance profile to the EC2 instance.

Answer: C,E

Explanation:
IAM Roles for EC2: IAM roles are the recommended way to provide AWS credentials to applications running on EC2 instances. Here's how this works:
You create an IAM role with the necessary permissions to access the target S3 bucket.
You create an instance profile and associate the IAM role with this profile.
When launching the EC2 instance, you attach this instance profile.
Temporary Security Credentials: When the application on the EC2 instance needs to access S3, it doesn't directly use access keys. Instead, the AWS SDK running on the instance retrieves temporary security credentials associated with the role. These are rotated automatically by AWS.
Reference:
IAM Roles for Amazon EC2: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use_switch-role-ec2.html Temporary Security Credentials: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp.html


NEW QUESTION # 20
A company wants to share information with a third party. The third party has an HTTP API endpoint that the company can use to share the information. The company has the required API key to access the HTTP API.
The company needs a way to manage the API key by using code. The integration of the API key with the application code cannot affect application performance.
Which solution will meet these requirements MOST securely?

  • A. Store the API credentials in a local code variable. Push the code to a secure Git repository. Use the local code variable at runtime to make the API call.
  • B. Store the API credentials in an Amazon DynamoDB table. Restrict access to the table by using resource-based policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
  • C. Store the API credentials in AWS Secrets Manager. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
  • D. Store the API credentials as an object in a private Amazon S3 bucket. Restrict access to the S3 object by using IAM policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.

Answer: C

Explanation:
Explanation
AWS Secrets Manager is a service that helps securely store, rotate, and manage secrets such as API keys, passwords, and tokens. The developer can store the API credentials in AWS Secrets Manager and retrieve them at runtime by using the AWS SDK. This solution will meet the requirements of security, code management, and performance. Storing the API credentials in a local code variable or an S3 object is not secure, as it exposes the credentials to unauthorized access or leakage. Storing the API credentials in a DynamoDB table is also not secure, as it requires additional encryption and access control measures.
Moreover, retrieving the credentials from S3 or DynamoDB may affect application performance due to network latency.
References:
[What Is AWS Secrets Manager? - AWS Secrets Manager]
[Retrieving a Secret - AWS Secrets Manager]


NEW QUESTION # 21
A developer is writing an AWS Lambda function. The developer wants to log key events that occur while the Lambda function runs. The developer wants to include a unique identifier to associate the events with a specific function invocation. The developer adds the following code to the Lambda function:

Which solution will meet this requirement?

  • A. Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to a file.
  • B. Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to standard output.
  • C. Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to standard output.
  • D. Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to a file.

Answer: B

Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/nodejs-context.html https://docs.aws.amazon.com/lambda/latest/dg/nodejs-logging.html There is no explicit information for the runtime, the code is written in Node.js.
AWS Lambda is a service that lets developers run code without provisioning or managing servers. The developer can use the AWS request ID field in the context object to obtain a unique identifier for each function invocation. The developer can configure the application to write logs to standard output, which will be captured by Amazon CloudWatch Logs. This solution will meet the requirement of logging key events with a unique identifier.
Reference:
[What Is AWS Lambda? - AWS Lambda]
[AWS Lambda Function Handler in Node.js - AWS Lambda]
[Using Amazon CloudWatch - AWS Lambda]


NEW QUESTION # 22
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