DVA-C02 practice questions 351–360

1. Question 351 · 548 in bank

   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?

   • ACreate 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.
   • BCreate 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.
   • CCreate 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.
   • DInstall 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.

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   Answer: D

   References

   • AWS documentation

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2. Question 352 · 548 in bank

   A developer is creating an application on Amazon Elastic Container Service (Amazon ECS). The developer needs to configure the application parameters. The developer must configure limits for the application's maximum number of simultaneous connections and maximum number of transactions per second. The maximum number of connections and transactions can change in the future. The developer needs a solution that can automatically deploy these changes to the application, as needed, without causing downtime. Which solution will meet these requirements?

   • AMake the configuration changes for the application. Use AWS CodeDeploy to create a deployment configuration. Specify an in-place deployment to deploy the changes.
   • BBootstrap the application to use the AWS Cloud Development Kit (AWS CDK) and make the configuration changes. Specify the ECSCanary10Percent15Minutes launch type in the properties section of the ECS resource. Deploy the application by using the AWS CDK to implement the changes.
   • CInstall the AWS AppConfig agent on Amazon ECS. Configure an IAM role with access to AWS AppConfig. Make the deployment changes by using AWS AppConfig. Specify Canary10Percent20Minutes as the deployment strategy.
   • DCreate an AWS Lambda function to make the configuration changes. Create an Amazon CloudWatch alarm that monitors the Lambda function every 5 minutes to check if the Lambda function has been updated. When the Lambda function is updated, deploy the changes by using AWS CodeDeploy.

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   Answer: C

   Explanation

   The agent calls AWS AppConfig on your behalf by using an AWS Identity and Access Management (IAM) role and managing a local cache of configuration data. By pulling configuration data from the local cache, your application requires fewer code updates to manage configuration data, retrieves configuration data in milliseconds, and isn't affected by network issues that can disrupt calls for such data. https://docs.aws.amazon.com/appconfig/latest/userguide/appconfig-integration-ec2.html

   Source: Adapted from community discussion — jasonczx

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation

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3. Question 353 · 548 in bank

   A developer has built an application running on AWS Lambda using AWS Serverless Application Model (AWS SAM). What is the correct sequence of steps to successfully deploy the application?

   • A1. Build the SAM template in Amazon EC2. 2. Package the SAM template to Amazon EBS storage. 3. Deploy the SAM template from Amazon EBS.
   • B1. Build the SAM template locally. 2. Package the SAM template onto Amazon S3. 3. Deploy the SAM template from Amazon S3.
   • C1. Build the SAM template locally. 2. Deploy the SAM template from Amazon S3. 3. Package the SAM template for use.
   • D1. Build the SAM template locally. 2. Package the SAM template from AWS CodeCommit. 3. Deploy the SAM template to CodeCommit.

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   Answer: B

   Explanation

   The AWS Serverless Application Model Command Line Interface (AWS SAM CLI) packages an AWS SAM application. This command creates a . zip file of your code and dependencies, and uploads the file to Amazon Simple Storage Service (Amazon S3).

   Source: Adapted from community discussion — preachr

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4. Question 354 · 548 in bank

   A developer needs to deploy the code for a new application on an AWS Lambda function. The application needs a dependency file that is 500 MB to run the business logic. Which solution will meet these requirements?

   • ACompress the application code and dependencies into a .zip file. Directly upload the .zip file as a deployment package for the Lambda function instead of copying the code.
   • BCompress the application code and dependencies into a .zip file. Upload the .zip file to an Amazon S3 bucket. Configure the Lambda function to run the code from the .zip file in the S3 bucket.
   • CPackage the application code and dependencies into a container image. Upload the image to an Amazon S3 bucket. Configure the Lambda function to run the code in the image.
   • DPackage the application code and dependencies into a container image. Push the image to an Amazon Elastic Container Registry (Amazon ECR) repository. Deploy the image to the Lambda function.

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   Answer: D

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5. Question 355 · 548 in bank

   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?

   • AAWS CodeDeploy
   • BAWS CodeArtifact
   • CAWS CodeCommit
   • DAmazon CodeGuru

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   Answer: C

   References

   • AWS documentation

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6. Question 356 · 548 in bank

   A company is developing a publicly accessible single-page application. The application makes calls from a client web browser to backend services to provide a user interface to customers. The application depends on a third-party web service exposed as an HTTP API. The web client must provide an API key to the third-party web service by using the HTTP header as part of the HTTP request. The company's API key must not be exposed to the users of the web application. Which solution will meet these requirements MOST cost-effectively?

   • AUse Amazon API Gateway to create a private REST API. Create an HTTP integration to integrate with the third-party HTTP API. Add the company’s API key to the HTTP headers list of the integration request configuration.
   • BUse Amazon API Gateway to create a private REST API. Create an AWS Lambda proxy integration. Make calls to the third-party HTTP API from the Lambda function. Pass the company's API key as an HTTP request header.
   • CUse Amazon API Gateway to create a REST API. Create an HTTP integration to integrate with the third-party HTTP API. Add the company's API key to the HTTP headers list of the integration request configuration.
   • DUse Amazon API Gateway to create a REST API. Create an AWS Lambda proxy integration. Make calls to the third-party HTTP API from the Lambda function. Pass the company's API key as an HTTP request header.

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   Answer: C

   Explanation

   Im going with C as per this post: https://stackoverflow.com/questions/62443262/aws-api-gateway-to-external-rest-api I am discarding the use of a private rest api because that would imply a VPC endpoint required and that is not cost effective.

   Source: Adapted from community discussion — wh1t4k3r

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7. Question 357 · 548 in bank

   A developer is setting up the deployment of application stacks to new test environments by using the AWS Cloud Development Kit (AWS CDK). The application contains the code for several AWS Lambda functions that will be deployed as assets. Each Lambda function is defined by using the AWS CDK Lambda construct library. The developer has already successfully deployed the application stacks to the alpha environment in the first account by using the AWS CDK CLI's cdk deploy command. The developer is preparing to deploy to the beta environment in a second account for the first time. The developer makes no significant changes to the CDK code between deployments, but the initial deployment in the second account is unsuccessful and returns a NoSuchBucket error. Which command should the developer run before redeployment to resolve this error?

   • Acdk synth
   • Bcdk bootstrap
   • Ccdk init
   • Dcdk destroy

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   Answer: B

   References

   • AWS documentation

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8. Question 358 · 548 in bank

   A developer is automating a new application deployment with AWS Serverless Application Model (AWS SAM). The new application has one AWS Lambda function and one Amazon S3 bucket. The Lambda function must access the S3 bucket to only read objects. How should the developer configure AWS SAM to grant the necessary read privilege to the S3 bucket?

   • AReference a second Lambda authorizer function.
   • BAdd a custom S3 bucket policy to the Lambda function.
   • CCreate an Amazon Simple Queue Service (SQS) topic for only S3 object reads. Reference the topic in the template.
   • DAdd the S3ReadPolicy template to the Lambda function's execution role.

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   Answer: D

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9. Question 359 · 548 in bank

   Select 2

   A development team wants to immediately build and deploy an application whenever there is a change to the source code. Which approaches could be used to trigger the deployment? (Choose two.)

   • AStore the source code in an Amazon S3 bucket. Configure AWS CodePipeline to start whenever a file in the bucket changes.
   • BStore the source code in an encrypted Amazon EBS volume. Configure AWS CodePipeline to start whenever a file in the volume changes.
   • CStore the source code in an AWS CodeCommit repository. Configure AWS CodePipeline to start whenever a change is committed to the repository.
   • DStore the source code in an Amazon S3 bucket. Configure AWS CodePipeline to start every 15 minutes.
   • EStore the source code in an Amazon EC2 instance’s ephemeral storage. Configure the instance to start AWS CodePipeline whenever there are changes to the source code.

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   Answer: AC

   References

   • AWS documentation

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10. Question 360 · 548 in bank

    A developer is building an application integrating an Amazon API Gateway with an AWS Lambda function. When calling the API, the developer receives the following error: Wed Nov 08 01:13:00 UTC 2017 : Method completed with status: 502 What should the developer do to resolve the error?

    • AChange the HTTP endpoint of the API to an HTTPS endpoint.
    • BChange the format of the payload sent to the API Gateway.
    • CChange the format of the Lambda function response to the API call.
    • DChange the authorization header in the API call to access the Lambda function.

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    Answer: C

    References

    • repost.aws documentation

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DVA-C02 practice, question 351. 548 questions available.