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Amazon DVA-C02 (AWS Certified Developer - Associate) exam is a certification program that is designed to test the skills and knowledge of developers who are interested in building and maintaining applications using the Amazon Web Services (AWS) platform. DVA-C02 exam is intended for individuals who possess a strong understanding of AWS services and have hands-on experience developing and deploying applications on AWS.

Earning the Amazon DVA-C02 certification demonstrates an individual's expertise in developing and deploying applications on the AWS platform. It also validates an individual's ability to use AWS services effectively to design and deploy scalable, reliable, and cost-effective applications. AWS Certified Developer - Associate certification can open up various job opportunities in the cloud computing industry, including roles such as AWS developer, cloud architect, and DevOps engineer, among others.

Amazon DVA-C02 Exam covers a wide range of topics related to AWS development. DVA-C02 exam tests the candidate's knowledge of AWS core services such as EC2, S3, RDS, DynamoDB, and Lambda, along with other services such as API Gateway, CloudFront, CloudFormation, and CloudWatch. DVA-C02 exam also covers topics such as AWS security, deployment, and troubleshooting. To pass the exam, candidates must demonstrate proficiency in all of these areas.

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Amazon AWS Certified Developer - Associate Sample Questions (Q343-Q348):

NEW QUESTION # 343
A developer is building an application on AWS. The application includes an AWS Lambda function that processes messages from an Amazon Simple Queue Service (Amazon SQS) queue.
The Lambda function sometimes fails or times out. The developer needs to figure out why the Lambda function fails to process some messages.
Which solution will meet these requirements with the LEAST operational overhead?

A. Increase the maximum timeout of the Lambda function to 15 minutes. Check the AWS CloudTrail event history for error details.
B. Increase the visibility timeout of the SQS queue. Check logs in Amazon CloudWatch Logs for error details.
C. Create a dead-letter queue. Configure the Lambda function to send the failed messages to the dead-letter queue.
D. Create an Amazon DynamoDB table. Update the Lambda function to send the failed messages to the DynamoDB table.

Answer: B

NEW QUESTION # 344
A developer is building various microservices for an application that will run on Amazon EC2 instances. The developer needs to monitor the end-to-end view of the requests between the microservices and debug any issues in the various microservices. What should the developer do to accomplish these tasks?

A. Use AWS CloudTrail to aggregate the microservices' logs and metrics, and build the monitoring dashboard.
B. Use AWS Health to monitor the health of all the microservices.
C. Use the AWS X-Ray SDK to add instrumentation in all the microservices, and monitor using the X- Ray service map.
D. Use Amazon CloudWatch to aggregate the microservices' logs and metrics, and build the monitoring dashboard.

Answer: C

NEW QUESTION # 345
A developer needs to configure an AWS Lambda function to make HTTP POST requests to an internal application. The application is in the same AWS account that hosts the function. The internal application runs on Amazon EC2 instances in a private subnet within a VPC.
Which solution will meet these requirements?

A. Attach the Lambda function to the VPC and to the private subnet.
B. Configure a VPC endpoint to connect to the private subnet. Attach the endpoint to the Lambda function.
C. Configure a VPN connection between the Lambda function and the private subnet. Attach the VPN to the Lambda function.
D. Configure the VPC route table to include the Lambda function's IP address.

Answer: A

NEW QUESTION # 346
A developer is preparing to deploy an AWS CloudFormation stack for an application from a template that includes an IAM user.
The developer needs to configure the application's resources to retain the IAM user after successful creation. However, the developer also needs to configure the application to delete the IAM user if the stack rolls back.

A. Update the CloudFormation service role to include the following policy:
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["cloudformation:UpdateTerminationProtection"],
"Resource": "*"
}]
}
B. Update the stack policy to include the following statements:
{
"Statement": [{
"Effect": "Deny",
"Action": "Update:*",
"Principal": "*",
"Resource": "*",
"Condition": {
"StringEquals": {
C. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-09-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: RetainExceptOnCreate
D. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-05-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: Retain

Answer: C

Explanation:
"ResourceType": "AWS::IAM::User"
}
}
}]
}
Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option B is Correct:
The RetainExceptOnCreate deletion policy ensures that the IAM user is retained after successful stack creation but is deleted if the stack creation fails or rolls back. This meets both requirements.
Why Other Options are Incorrect:
Option A: The Retain policy retains the resource regardless of stack status and does not delete the IAM user upon rollback.
Option C: Updating the service role for termination protection does not address the specific deletion behavior for the IAM user.
Option D: Stack policy controls updates, not resource deletion behavior during rollbacks.
AWS Documentation Reference:
CloudFormation DeletionPolicy Attribute

NEW QUESTION # 347
A developer supports an application that accesses data in an Amazon DynamoDB table. One of the item attributes is expirationDate in the timestamp format. The application uses this attribute to find items, archive them, and remove them from the table based on the timestamp value.
The application will be decommissioned soon, and the developer must find another way to implement this functionality. The developer needs a solution that will require the least amount of code to write.
Which solution will meet these requirements?

A. Enable TTL on the expirationDate attribute in the table. Create a DynamoDB stream. Create an AWS Lambda function to process the deleted items. Create a DynamoDB trigger for the Lambda function.
B. Create two AWS Lambda functions: one to delete the items and one to process the items. Create an Amazon EventBridge scheduled rule to invoke the Lambda functions. Use the DeleteItem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB table and process them.
C. Enable TTL on the expirationDate attribute in the table. Specify an Amazon Simple Queue Service (Amazon SQS) dead-letter queue as the target to delete the items. Create an AWS Lambda function to process the items.
D. Create two AWS Lambda functions: one to delete the items and one to process the items. Create a DynamoDB stream. Use the DeleteItem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB stream and process them.

Answer: A

NEW QUESTION # 348
......

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