Amazon DVA-C02 Online Practice Questions and Exam Preparation

Amazon DVA-C02 Online Questions & Answers

• Question 121:

  A development team maintains a web application by using a single AWS RDS, template. The template defines web servers and an Amazon RDS database. The team uses the CloudFormation template to deploy the CloudFormation stack to

  different environments.

  During a recent application deployment, a developer caused the primary development database to be dropped and recreated. The result of this incident was a loss of data. The team needs to avoid accidental database deletion in the future.

  Which solutions will meet these requirements? (Choose two.)

  A. Add a CloudFormation DeletionPolicy attribute with the Retain value to the database resource.
  B. Update the CloudFormation stack policy to prevent updates to the database.
  C. Modify the database to use a Multi-AZ deployment.
  D. Create a CloudFormation stack set for the web application and database deployments.
  E. Add a CloudFormation DeletionPolicy attribute with the Retain value to the stack.
  A. Add a CloudFormation DeletionPolicy attribute with the Retain value to the database resource.
  B. Update the CloudFormation stack policy to prevent updates to the database.

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  Explanation

• Question 122:

  A company uses more than 100 AWS Lambda functions to handle application services. One Lambda function is critical and must always run successfully. The company notices that occasionally, the critical Lambda function does not initiate.

  The company investigates the issue and discovers instances of the Lambda TooManyRequestsException: Rate Exceeded error in Amazon CloudWatch logs. Upon further review of the logs, the company notices that some of the non-critical

  functions run properly while the critical function fails. A developer must resolve the errors and ensure that the critical Lambda function runs successfully.

  Which solution will meet these requirements with the LEAST operational overhead?

  A. Configure reserved concurrency for the critical Lambda function. Set reserved concurrent executions to the appropriate level.
  B. Configure provisioned concurrency for the critical Lambda function. Set provisioned concurrent executions to the appropriate level.
  C. Configure CloudWatch alarms for TooManyRequestsException errors. Add the critical Lambda function as an alarm state change action to invoke the critical function again after a failure.
  D. Configure CloudWatch alarms for TooManyRequestsException errors. Add Amazon EventBridge as an action for the alarm state change. Use EventBridge to invoke the critical function again after a failure.
  A. Configure reserved concurrency for the critical Lambda function. Set reserved concurrent executions to the appropriate level.

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  Explanation

  Reserved concurrency guarantees a specific number of concurrent executions for a critical Lambda function. This ensures that the critical function always has sufficient resources to execute, even if other functions are consuming concurrency.

  Why Option A:

  Ensures Function Availability: Reserved concurrency isolates the critical Lambda function from other functions.

  Low Overhead: Configuring reserved concurrency is straightforward and requires minimal setup.

  Why Not Other Options:

  Option B: Provisioned concurrency is ideal for reducing cold starts, not for managing execution limits.

  Option C and D: Alarms and re-invocation mechanisms add complexity without resolving the root cause.

  References:

  Managing Concurrency for AWS Lambda

• Question 123:

  A company runs continuous integration/continuous delivery (CI/CD) pipelines for its application on AWS CodePipeline. A developer must write unit tests and run them as part of the pipelines before staging the artifacts for testing.

  How should the developer incorporate unit tests as part of CI/CD pipelines?

  A. Create a separate CodePipeline pipeline to run unit tests.
  B. Update the AWS CodeBuild build specification to include a phase for running unit tests.
  C. Install the AWS CodeDeploy agent on an Amazon EC2 instance to run unit tests.
  D. Create a testing branch in a git repository for the pipelines to run unit tests.
  B. Update the AWS CodeBuild build specification to include a phase for running unit tests.

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  Explanation

• Question 124:

  A company has an application that receives batches of orders from partners every day. The application uses an AWS Lambda function to process the batches.

  If a batch contains no orders, the Lambda function must publish to an Amazon Simple Notification Service (Amazon SNS) topic as soon as possible.

  Which combination of steps will meet this requirement with the LEAST implementation effort? (Choose two.)

  A. Update the existing Lambda function's code to send an Amazon CloudWatch custom metric for the number of orders in a batch for each partner.
  B. Create a new Lambda function as an Amazon Kinesis data stream consumer. Configure the new Lambda function to track orders and to publish to the SNS topic when a batch contains no orders.
  C. Set up an Amazon CloudWatch alarm that will send a notification to the SNS topic when the value of the custom metric is 0.
  D. Schedule a new Lambda function to analyze Amazon CloudWatch metrics every 24 hours to identify batches that contain no orders. Configure the Lambda function to publish to the SNS topic.
  E. Modify the existing Lambda function to log orders to an Amazon Kinesis data stream.
  A. Update the existing Lambda function's code to send an Amazon CloudWatch custom metric for the number of orders in a batch for each partner.
  C. Set up an Amazon CloudWatch alarm that will send a notification to the SNS topic when the value of the custom metric is 0.

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  Explanation

• Question 125:

  A developer has created a data collection application that uses Amazon API Gateway, AWS Lambda, and Amazon S3. The application's users periodically upload data files and wait for the validation status to be reflected on a processing dashboard. The validation process is complex and time-consuming for large files.

  Some users are uploading dozens of large files and have to wait and refresh the processing dashboard to see if the files have been validated. The developer must refactor the application to immediately update the validation result on the user's dashboard without reloading the full dashboard.

  What is the MOST operationally efficient solution that meets these requirements?

  A. Integrate the client with an API Gateway WebSocket API. Save the user-uploaded files with the WebSocket connection ID. Push the validation status to the connection ID when the processing is complete to initiate an update of the user interface.
  B. Launch an Amazon EC2 micro instance, and set up a WebSocket server. Send the user-uploaded file and user detail to the EC2 instance after the user uploads the file. Use the WebSocket server to send updates to the user interface when the uploaded file is processed.
  C. Save the user's email address along with the user-uploaded file. When the validation process is complete, send an email notification through Amazon Simple Notification Service (Amazon SNS) to the user who uploaded the file.
  D. Save the user-uploaded file and user detail to Amazon DynamoDB. Use Amazon DynamoDB Streams with Amazon Simple Notification Service (Amazon SNS) push notifications to send updates to the browser to update the user interface.
  A. Integrate the client with an API Gateway WebSocket API. Save the user-uploaded files with the WebSocket connection ID. Push the validation status to the connection ID when the processing is complete to initiate an update of the user interface.

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  Explanation

• Question 126:

  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. 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.
  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 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.
  D. 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.
  C. 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.

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  Explanation

  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.

  References:

  AWS CodePipeline Documentation

  API Gateway Stages for CI/CD

• Question 127:

  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?

  A. Make the configuration changes for the application. Use AWS CodeDeploy to create a deployment configuration. Specify an in-place deployment to deploy the changes.
  B. Bootstrap 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.
  C. Install 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.
  D. Create 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.
  C. Install 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.

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  Explanation

• Question 128:

  A company is building a scalable data management solution by using AWS services to improve the speed and agility of development. The solution will ingest large volumes of data from various sources and will process this data through multiple business rules and transformations.

  The solution requires business rules to run in sequence and to handle reprocessing of data if errors occur when the business rules run. The company needs the solution to be scalable and to require the least possible maintenance.

  Which AWS service should the company use to manage and automate the orchestration of the data flows to meet these requirements?

  A. AWS Batch
  B. AWS Step Functions
  C. AWS Glue
  D. AWS Lambda
  B. AWS Step Functions

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  Explanation

  https://docs.aws.amazon.com/step-functions/latest/dg/welcome.html

• Question 129:

  A developer needs to deploy an application in three AWS Regions by using AWS CloudFormation. Each Region will use an AWS Elastic Beanstalk environment with an Application Load Balancer (ALB). The developer wants to use AWS Certificate Manager (ACM) to deploy SSL certificates to each ALB.

  Which solution will meet these requirements?

  A. Create a certificate in ACM in any one of the Regions. Import the certificate into the ALB that is in each Region.
  B. Create a global certificate in ACM. Update the CloudFormation template to deploy the global certificate to each ALB.
  C. Create a certificate in ACM in each Region. Import the certificate into the ALB for each Region.
  D. Create a certificate in ACM in the us-east-1 Region. Update the CloudFormation template to deploy the certificate to each ALB.
  C. Create a certificate in ACM in each Region. Import the certificate into the ALB for each Region.

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  Explanation

• Question 130:

  A developer wants to store information about movies. Each movie has a title, release year, and genre. The movie information also can include additional properties about the cast and production crew. This additional information is inconsistent

  across movies. For example, one movie might have an assistant director, and another movie might have an animal trainer.

  The developer needs to implement a solution to support the following use cases:

  For a given title and release year, get all details about the movie that has that title and release year.

  For a given title, get all details about all movies that have that title.

  For a given genre, get all details about all movies in that genre.

  Which data store configuration will meet these requirements?

  A. Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. Create a global secondary index that uses the genre as the partition key and the title as the sort key.
  B. Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the genre as the partition key and the release year as the sort key. Create a global secondary index that uses the title as the partition key.
  C. On an Amazon RDS DB instance, create a table that contains columns for title, release year, and genre. Configure the title as the primary key.
  D. On an Amazon RDS DB instance, create a table where the primary key is the title and all other data is encoded into JSON format as one additional column.
  A. Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. Create a global secondary index that uses the genre as the partition key and the title as the sort key.

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  Explanation