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Amazon DVA-C02: AWS Certified Developer - Associate is a certification exam offered by Amazon Web Services (AWS) for individuals who want to demonstrate their skills and knowledge in developing and maintaining applications on the AWS platform. DVA-C02 exam is designed to validate an individual's ability to design, develop, and deploy cloud-based applications using AWS services and best practices.

To prepare for the DVA-C02 Exam, candidates should have a strong understanding of AWS services and tools, as well as experience in developing and deploying applications on the AWS platform. AWS offers various resources to help candidates prepare for the exam, including training courses, practice exams, and study guides.

>> Valid DVA-C02 Exam Objectives <<

Amazon DVA-C02 Exam | Valid DVA-C02 Exam Objectives - DVA-C02: AWS Certified Developer - Associate

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To prepare for the AWS Certified Developer - Associate exam, candidates can take advantage of AWS's official training courses and certification resources. These resources include online training courses, practice exams, and study guides. Candidates can also gain hands-on experience by working on real projects on the AWS platform, which will help them develop the skills and knowledge required to pass the exam.

Amazon AWS Certified Developer - Associate Sample Questions (Q693-Q698):

NEW QUESTION # 693
A company has an application that runs as a series of AWS Lambda functions. Each Lambda function receives data from an Amazon Simple Notification Service (Amazon SNS) topic and writes the data to an Amazon Aurora DB instance.
To comply with an information security policy, the company must ensure that the Lambda functions all use a single securely encrypted database connection string to access Aurora.
Which solution will meet these requirements?

A. Store the credentials and read the credentials from an encrypted Amazon RDS DB instance.
B. Use IAM database authentication for Aurora to enable secure database connections for all the Lambda functions.
C. Use Lambda environment variables with a shared AWS Key Management Service (AWS KMS) key for encryption.
D. Store the credentials in AWS Systems Manager Parameter Store as a secure string parameter.

Answer: D

Explanation:
AWS Systems Manager Parameter Store offers a more centralized way to manage encrypted secrets across multiple services than Lambda environment variables, making it a better fit for this scenario.

NEW QUESTION # 694
A developer is deploying a company's application to Amazon EC2 instances. The application generates gigabytes of data files each day. The files are rarely accessed, but the files must be available to the application's users within minutes of a request during the first year of storage.
The company must retain the files for 7 years.
How can the developer implement the application to meet these requirements MOST cost- effectively?

A. Store the files on an Amazon Elastic File System (Amazon EFS) mount. Configure EFS lifecycle management to transition the files to the EFS Standard-Infrequent Access (Standard-IA) storage class after 1 year.
B. Store the files in an Amazon S3 bucket. Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition the files to the S3 Glacier Flexible Retrieval storage class after 1 year.
C. Store the files on an Amazon Elastic Block Store (Amazon EBS) volume. Use Amazon Data Lifecycle Manager (Amazon DLM) to create snapshots of the EBS volumes and to store those snapshots in Amazon S3.
D. Store the files in an Amazon S3 bucket Use the S3 Glacier Instant Retrieval storage class. Create an S3 Lifecycle policy to transition the files to the S3 Glacier Deep Archive storage class after 1 year.

Answer: D

Explanation:
Amazon S3 Glacier Instant Retrieval is an archive storage class that delivers the lowest-cost storage for long-lived data that is rarely accessed and requires retrieval in milliseconds. With S3 Glacier Instant Retrieval, you can save up to 68% on storage costs compared to using the S3 Standard-Infrequent Access (S3 Standard-IA) storage class, when your data is accessed once per quarter.
https://aws.amazon.com/s3/storage-classes/glacier/instant-retrieval/

NEW QUESTION # 695
A developer is working on an application that will be deployed on AWS. The developer needs to test and debug the code locally. The code is packaged and stored in an Amazon S3 bucket.
How can the developer test and debug the code locally with the LEAST amount of configuration?

A. Create a build project in AWS CodeBuild. In AWS CodePipeline, add a CodeBuild test action by adding a stage and an action. For the action provider, specify a CodeBuild test and the build project. View the build log to see the test results.
B. Install the AWS CodeDeploy agent locally to validate the deployment package. Run the codedeploy-local command. Specify the S3 bucket where the code package is located by using the --bundle-location option.
C. Create a repository in AWS CodeArtifact. Publish the application code package to the repository.
Before deployment, create an upstream repository to test and validate the code.
D. Create an application and a deployment group in AWS CodeDeploy. For the compute platform, specify the local machine as the individual instance for the deployment. For the repository type, specify that the application is stored in Amazon S3. Start the deployment to test on the local machine.

Answer: B

NEW QUESTION # 696
A developer is using AWS Step Functions to automate a workflow The workflow defines each step as an AWS Lambda function task The developer notices that runs of the Step Functions state machine fail in the GetResource task with either an UlegalArgumentException error or a TooManyRequestsException error The developer wants the state machine to stop running when the state machine encounters an UlegalArgumentException error. The state machine needs to retry the GetResource task one additional time after 10 seconds if the state machine encounters a TooManyRequestsException error. If the second attempt fails, the developer wants the state machine to stop running.
How can the developer implement the Lambda retry functionality without adding unnecessary complexity to the state machine'?

A. Add a retrier to the GetResource task Configure the retrier with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.
B. Add a Delay task after the GetResource task. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be the Delay task Configure the Delay task to wait for an interval of 10 seconds Configure the next step to be the GetResource task.
C. Duplicate the GetResource task Rename the new GetResource task to TryAgain Add a catcher to the original GetResource task Configure the catcher with an error type of TooManyRequestsException.Configure the next step to be TryAgain.
D. Add a catcher to the GetResource task Configure the catcher with an error type of TooManyRequestsException. an interval of 10 seconds, and a maximum attempts value of 1. Configure the next step to be the GetResource task.

Answer: A

Explanation:
* Step Functions Retriers:Retriers provide a built-in way to gracefully handle transient errors within State Machines. Here's how to use them:
* Directly attach a retrier to the problematic 'GetResource' task.
* Configure the retrier:
* ErrorEquals: Set this to ['TooManyRequestsException'] to target the specific error.
* IntervalSeconds: Set to 10 for the desired retry delay.
* MaxAttempts: Set to 1, as you want only one retry attempt.
* Error Handling:
* Upon 'TooManyRequestsException', the retrier triggers the task again after 10 seconds.
* On a second failure, Step Functions moves to the next state or fails the workflow, as per your design.
* 'IllegalArgumentException' causes error propagation as intended.

NEW QUESTION # 697
A developer is using AWS Elastic Beanstalk to deploy an application. The application must be able to access API keys from a third-party service. Currently, the company stores the credentials to access the third-party service in the code bundle. The company must redeploy the code bundle when the credentials rotate. The developer wants to improve security and avoid redeployments. Which solution will meet these requirements with the LEAST operational overhead?

A. Store the credentials as SecureString parameters in AWS Systems Manager Parameter Store. Reference the credentials in Elastic Beanstalk environment variables.
B. Continue to store the credentials in an encrypted file within the application bundle.
C. Use AWS KMS to encrypt the credentials locally. Configure Elastic Beanstalk to decrypt the credentials on startup.
D. Store the credentials in an Amazon S3 bucket. Configure server-side encryption with Amazon S3 managed keys (SSE-S3). Fetch the credentials at runtime.

Answer: A

Explanation:
The standard best practice for Elastic Beanstalk is to externalize configuration using Environment Variables.
By storing sensitive API keys in SSM Parameter Store as a SecureString , you gain encryption and rotation capabilities. You then reference the parameter in the Elastic Beanstalk environment. The application can retrieve the value at runtime, and if the key is updated in Parameter Store, the application can pick up the change without needing a full code redeployment.

NEW QUESTION # 698
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