DVA-C02 EXAM OUTLINE - DVA-C02 TRAINING TOOLS

DVA-C02 Exam Outline - DVA-C02 Training Tools

DVA-C02 Exam Outline - DVA-C02 Training Tools

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Tags: DVA-C02 Exam Outline, DVA-C02 Training Tools, Questions DVA-C02 Exam, New DVA-C02 Cram Materials, Valid DVA-C02 Exam Sims

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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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Amazon AWS Certified Developer - Associate Sample Questions (Q332-Q337):

NEW QUESTION # 332
A company recently deployed a new serverless user portal. Users have reported that part of the portal is slow. The initial analysis found a single Amazon API Gateway endpoint that is responsible for the performance issues. The endpoint integrates with an AWS Lambda function.
However, the Lambda function interacts with other APIs and AWS services.
How can a developer find the source of the increased response time by using operational best practices?

  • A. Review the Lambda function's Amazon CloudWatch metrics by using the metrics explorer. Apply anomaly detection to the Duration metric and the Throttles metric. Review the anomalies to determine the likely sources.
  • B. Use Amazon CloudWatch Synthetics to create a new canary. Turn on AWS X-Ray tracing on the canary. Configure the canary to scan the user portal. After accumulating enough usage data, use the CloudWatch Synthetics canary dashboard to view the metrics from the canary.
  • C. Instrument the Lambda function with the AWS X-Ray SDK. Add HTTP and HTTPS interceptors and SDK client handlers. Deploy the updated Lambda function. Turn on X-Ray tracing. After accumulating enough usage data, use the X-Ray service map to examine the average response times to determine the likely sources.
  • D. Update the Lambda function by adding logging statements with high-precision timestamps before and after each external request. Deploy the updated Lambda function. After accumulating enough usage data, examine the Amazon CloudWatch logs for the Lambda function to determine the likely sources for the increased response time.

Answer: C


NEW QUESTION # 333
A developer has an application that uses an Amazon DynamoDB table with a configured local secondary index (LSI). During application testing, the DynamoDB table metrics report a ProvisionedThroughputExceededException error message. The number of requests made by the test suite did not exceed the table's provisioned capacity limits.
What is the cause of this issue?

  • A. The data in the table's partition key column is not evenly distributed.
  • B. The application is not implementing exponential backoff retry logic while interacting with the DynamoDB API.
  • C. The application has the IAM permission to query the DynamoDB table but not to query the LSI.
  • D. The LSI's capacity is different from the table's capacity.

Answer: A


NEW QUESTION # 334
A developer is preparing to begin development of a new version of an application. The previous version of the application is deployed in a production environment. The developer needs to deploy fixes and updates to the current version during the development of the new version of the application. The code for the new version of the application is stored in AWS CodeCommit.
Which solution will meet these requirements?

  • A. From the main branch, create a feature branch for production bug fixes. Create a second feature branch from the main branch for development of the new version.
  • B. From the main branch, create a branch of the code that is currently deployed in production. Apply an IAM policy that ensures no other other users can push or merge to the branch.
  • C. Create a Git tag of the code that is currently deployed in production. Create a Git tag for the development of the new version. Push the two tags to the CodeCommit repository.
  • D. Create a new CodeCommit repository for development of the new version of the application. Create a Git tag for the development of the new version.

Answer: A

Explanation:
* A feature branch is a branch that is created from the main branch to work on a specific feature or task1. Feature branches allow developers to isolate their work from the main branch and avoid conflicts with other changes1. Feature branches can be merged back to the main branch when the feature or task is completed and tested1.
* In this scenario, the developer needs to maintain two parallel streams of work: one for fixing and updating the current version of the application that is deployed in production, and another for
* developing the new version of the application. The developer can use feature branches to achieve this goal.
* The developer can create a feature branch from the main branch for production bug fixes. This branch will contain the code that is currently deployed in production, and any fixes or updates that need to be applied to it. The developer can push this branch to the CodeCommit repository and use it to deploy changes to the production environment.
* The developer can also create a second feature branch from the main branch for development of the new version of the application. This branch will contain the code that is under development for the new version, and any changes or enhancements that are part of it. The developer can push this branch to the CodeCommit repository and use it to test and deploy the new version of the application in a separate environment.
* By using feature branches, the developer can keep the main branch stable and clean, and avoid mixing code from different versions of the application. The developer can also easily switch between branches and merge them when needed.


NEW QUESTION # 335
When using the AWS Encryption SDK, how does the developer keep track of the data encryption keys used to encrypt data?

  • A. The SDK encrypts the data encryption key and stores it (encrypted) as part of the returned ciphertext.
  • B. The developer must manually keep track of the data encryption keys used for each data object.
  • C. The data encryption key is stored in the Userdata for the EC2 instance.
  • D. The SDK stores the data encryption keys automatically in Amazon S3.

Answer: A


NEW QUESTION # 336
A development team wants to build a continuous integration/continuous delivery (CI/CD) pipeline. The team is using AWS CodePipeline to automate the code build and deployment. The team wants to store the program code to prepare for the CI/CD pipeline.
Which AWS service should the team use to store the program code?

  • A. AWS CodeDeploy
  • B. Amazon CodeGuru
  • C. AWS CodeArtifact
  • D. AWS CodeCommit

Answer: D

Explanation:
AWS CodeCommit is a service that provides fully managed source control for hosting secure and scalable private Git repositories. The development team can use CodeCommit to store the program code and prepare for the CI/CD pipeline. CodeCommit integrates with other AWS services such as CodePipeline, CodeBuild, and CodeDeploy to automate the code build and deployment process.
References:
* [What Is AWS CodeCommit? - AWS CodeCommit]
* [AWS CodePipeline - AWS CodeCommit]


NEW QUESTION # 337
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