Latest DVA-C02 Real Exam Questions, Amazon DVA-C02 Practice Test, AWS Certified Developer - Associate
Latest DVA-C02 Real Exam Questions, Amazon DVA-C02 Practice Test, AWS Certified Developer - Associate
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Amazon DVA-C02 (AWS Certified Developer - Associate) Certification Exam is a professional certification offered by Amazon Web Services (AWS) to developers who want to demonstrate their expertise in designing, developing, and deploying cloud-based applications on the AWS platform. AWS Certified Developer - Associate certification is designed for individuals who have a minimum of one year of experience in developing and maintaining AWS-based applications.
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Amazon DVA-C02 (AWS Certified Developer - Associate) Exam is a certification exam designed for individuals who are interested in becoming certified developers on the Amazon Web Services (AWS) platform. DVA-C02 exam is intended for individuals who have experience in developing and maintaining applications on AWS, as well as those who have a solid understanding of AWS services and architecture. The DVA-C02 exam validates an individual's ability to design, develop, and deploy cloud-based solutions using AWS services and tools.
Amazon DVA-C02 Certification Exam is an essential credential for developers who want to advance their careers in the cloud computing industry. AWS Certified Developer - Associate certification is highly valued by employers, as it demonstrates a candidate's proficiency in AWS development skills. AWS is one of the leading cloud computing platforms, and the demand for AWS certified professionals is continually increasing. Therefore, obtaining the AWS Certified Developer - Associate certification is an excellent investment in your career.
Amazon AWS Certified Developer - Associate Sample Questions (Q171-Q176):
NEW QUESTION # 171
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. Create a namespace in the ECS cluster. Associate the docker-compose.yml file to the namespace.
- B. Store the file path for the docker-compose.yml file as a Docker label. Add the label to the ECS cluster's container details.
- C. Add the details from the docker-compose.yml file to an ECS task definition. Associate the task with the ECS cluster.
- D. Update the service type of the ECS cluster to REPLICA, and redeploy the stack.
Answer: C
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 # 172
A company has a web application that runs on Amazon EC2 instances with a custom Amazon Machine Image (AMI) The company uses AWS CloudFormation to provision the application The application runs in the us-east-1 Region, and the company needs to deploy the application to the us-west-1 Region An attempt to create the AWS CloudFormation stack in us-west-1 fails. An error message states that the AMI ID does not exist. A developer must resolve this error with a solution that uses the least amount of operational overhead Which solution meets these requirements?
- A. Manually deploy the application outside AWS CloudFormation in us-west-1.
- B. Build the custom AMI in us-west-1 Create a new AWS CloudFormation template to launch the stack in us-west-1 with the new AMI ID
- C. Copy the custom AMI from us-east-1 to us-west-1. Update the AWS CloudFormation template for us-west-1 to refer to AMI ID for the copied AMI Relaunch the stack
- D. Change the AWS CloudFormation templates for us-east-1 and us-west-1 to use an AWS AMI. Relaunch the stack for both Regions.
Answer: C
Explanation:
Problem: CloudFormation can't find the custom AMI in the target region (us-west-1) because AMIs are region-specific.
Copying AMIs:
AMIs can be copied across regions, maintaining their configuration.
This approach minimizes operational overhead as the existing CloudFormation template can be reused with a minor update.
Updating the Template:
Modify the CloudFormation template in us-west-1 to reference the newly copied AMI's ID in that region.
Reference:
Copying AMIs: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/CopyingAMIs.html CloudFormation Templates and AMIs: [invalid URL removed]
NEW QUESTION # 173
A company hosts its application in the us-west-1 Region. The company wants to add redundancy in the us-east-1 Region.
The application secrets are stored in AWS Secrets Manager in us-west-1. A developer needs to replicate the secrets to us-east-1.
Which solution will meet this requirement?
- A. Configure secret replication for each secret. Add us-east-1 as a replication Region. Choose an AWS Key Management Service (AWS KMS) key in us-east-1 to encrypt the replicated secrets.
- B. Create a Secrets Manager lifecycle rule to replicate each secret to a new Amazon S3 bucket in us-west-1. Configure an S3 replication rule to replicate the secrets to us-east-1.
- C. Create a new secret in us-east-1 for each secret. Configure secret replication in us-east-1. Set the source to be the corresponding secret in us-west-1. Choose an AWS Key Management Service (AWS KMS) key in us-west-1 to encrypt the replicated secrets.
- D. Create a replication rule for each secret. Set us-east-1 as the destination Region. Configure the rule to run during secret rotation. Choose an AWS Key Management Service (AWS KMS) key in us-east-1 to encrypt the replicated secrets.
Answer: A
NEW QUESTION # 174
A developer is trying get data from an Amazon DynamoDB table called demoman-table. The developer configured the AWS CLI to use a specific IAM use's credentials and ran the following command.
The command returned errors and no rows were returned.
What is the MOST likely cause of these issues?
- A. Amazon DynamoOB cannot be accessed from the AWS CLI and needs to called via the REST API
- B. The IAM user needs an associated policy with read access to demoman-table
- C. The command is incorrect; it should be rewritten to use put-item with a string argument
- D. The developer needs to log a ticket with AWS Support to enable access to the demoman-table
Answer: B
Explanation:
This solution will most likely solve the issues because it will grant the IAM user the necessary permission to access the DynamoDB table using the AWS CLI command. The error message indicates that the IAM user does not have sufficient access rights to perform the scan operation on the table. Option A is not optimal because it will change the command to use put-item instead of scan, which will not achieve the desired result of getting data from the table. Option B is not optimal because it will involve contacting AWS Support, which may not be necessary or efficient for this issue. Option C is not optimal because it will state that DynamoDB cannot be accessed from the AWS CLI, which is incorrect as DynamoDB supports AWS CLI commands.
References: AWS CLI for DynamoDB, [IAM Policies for DynamoDB]
NEW QUESTION # 175
A company has a serverless application that uses Amazon API Gateway and AWS Lambda functions to expose a RESTful API. The company uses a continuous integration and continuous delivery (CI/CD) workflow to deploy the application to multiple environments. The company wants to implement automated integration tests after deployment.
A developer needs to set up the necessary infrastructure and processes to automate the deployment and integration tests for the serverless application.
- A. Use AWS CodePipeline to create a CI/CD pipeline. Configure API Gateway stages to represent each application environment. Use AWS CloudFormation templates to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
- B. Configure API Gateway stages to represent each application environment. Use AWS CloudFormation to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
- C. Use AWS CloudFormation to create and deploy the application infrastructure in each application environment. Use the AWS CLI to invoke Lambda functions to perform deployment tests after each deployment.
- D. Configure API Gateway stages to represent each application environment. Use AWS SAM templates to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
Answer: A
Explanation:
Comprehensive and Detailed Step-by-Step
Option C: Use AWS CodePipeline for CI/CD Workflow:
AWS CodePipeline automates the entire CI/CD pipeline, including build, deploy, and test stages. This minimizes manual effort and integrates well with AWS services.
API Gateway Stages: Represent different environments, such as dev, test, and prod, allowing isolated deployment and testing.
AWS CloudFormation Templates: Ensure that the infrastructure for Lambda and API Gateway is consistent across environments.
AWS CodeBuild for Automated Tests: Validates the deployments in each stage, ensuring integration and functionality are tested post-deployment.
Why Other Options Are Incorrect:
Option A and B: While using AWS SAM or CloudFormation for infrastructure management is valid, these options lack the fully automated CI/CD pipeline provided by CodePipeline.
Option D: Manually invoking Lambda functions using the AWS CLI introduces operational overhead and lacks the automation provided by CodePipeline.
Reference:
AWS CodePipeline Documentation
API Gateway Stages for CI/CD
NEW QUESTION # 176
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