Amazon DVA-C02 Practice Test - Questions Answers, Page 23
Question list
List of questions
Related questions
A developer is creating an application that must transfer expired items from Amazon DynamoDB to Amazon S3. The developer sets up the DynamoDB table to automatically delete items after a specific TTL. The application must process the items in DynamoDB and then must store the expired items in Amazon S3. The entire process, including item processing and storage in Amazon S3, will take 5 minutes.
Which solution will meet these requirements with the LEAST operational overhead?
Configure DynamoDB Accelerator (DAX) lo query for expired items based on the TTL Save the results to Amazon S3.
Configure DynamoDB Streams to invoke an AWS Lambda function. Program the Lambda function to process the items and to store the expired items in Amazon S3.
Deploy a custom application on an Amazon Elastic Container Service (Amazon ECS) cluster on Amazon EC2 instances. Program the custom application to process the items and to store the expired items in Amazon S3.
Create an Amazon EventBridge rule to invoke an AWS Lambda function. Program the Lambda function to process The items and to store the expired items in Amazon S3.
An application ingests data from an Amazon Kinesis data stream. The shards in the data stream are set for normal traffic.
During tests for peak traffic, the application ingests data slowly. A developer needs to adjust the data stream to handle the peak traffic.
What should the developer do to meet this requirement MOST cost-effectively?
Install the Kinesis Producer Library {KPL) to ingest data into the data stream.
Switch to on-demand capacity mode for the data stream. Specify a partition key when writing data to the data stream.
Decrease the amount of time that data is kept in the data stream by using the DecreaseStreamRetention Period API operation.
Increase the shard count in the data stream by using the UpdateShardCount API operation.
A company has an application that is deployed on AWS Elastic Beanstalk. The application generates user-specific PDFs and stores the PDFs in an Amazon S3 bucket. The application then uses Amazon Simple Email Service (Amazon SES) to send the PDFs by email to subscribers.
Users no longer access the PDFs 90 days after the PDFs are generated. The S3 bucket is not versioned and contains many obsolete PDFs.
A developer must reduce the number of files in the S3 bucket by removing PDFs that are older than 90 days.
Which solution will meet this requirement with the LEAST development effort?
Update the application code. In the code, add a rule to scan all the objects in the S3 bucket every day and to delete objects after 90 days.
Create an AWS Lambda function. Program the Lambda function to scan all the objects in the S3 bucket every day and to delete objects after 90 days.
Create an S3 Lifecycle rule for the S3 bucket to expire objects after 90 days.
Partition the S3 objects with a <year>/<month>/<day> key prefix. Create an AWS Lambda function to remove objects that have prefixes that have reached the expiration date.
A company runs an ecommerce application on AWS. The application stores data in an Amazon Aurora database.
A developer is adding a caching layer to the application. The caching strategy must ensure that the application always uses the most recent value for each data item.
Which caching strategy will meet these requirements?
Implement a TTL strategy for every item that is saved in the cache.
Implement a write-through strategy for every item that is created and updated.
Implement a lazy loading strategy for every item that is loaded.
Implement a read-through strategy for every item that is loaded.
A developer is monitoring an application that runs on an Amazon EC2 Instance. The developer has configured a custom Amazon CloudWatch metric with data granularity of 1 second. It any issues occur, the developer wants to be notified within 30 seconds by Amazon Simple Notification Service (Amazon SNS).
What should the developer do to meet this requirement?
Configure a high-resolution CloudWatch alarm.
Set up a custom CloudWatch dashboard.
Use Amazon CloudWatch Logs Insights.
Change to a default CloudWatch metric.
A company is developing a serverless application that requires storage of sensitive API keys as environment variables for various services. The application requires the automatic rotation of the encryption keys every year.
Which solution will meet these requirements with no development effort?
Encrypt the environment variables by using AWS Secrets Manager. Set up automatic rotation in Secrets Manager.
Encrypt the environment variables by using AWS Key Management Service (AWS KMS) customer managed keys. Enable automatic key rotation.
Encrypt the environment variables by using AWS Key Management Service (AWS KMS) AWS managed keys. Configure a custom AWS Lambda function to automate key rotation.
Encrypt the environment variables by using AWS Systems Manager Parameter Store. Set up automatic rotation in Parameter Store.
A developer needs to use a code template to create an automated deployment of an application onto Amazon EC2 instances. The template must be configured to repeat deployment, installation, and updates of resources for the application. The template must be able to create identical environments and roll back to previous versions.
Which solution will meet these requirements?
Use AWS Amplify for automatic deployment templates. Use a traffic-splitting deployment to copy any deployments. Modify any resources created by Amplify, if necessary.
Use AWS CodeBuild for automatic deployment. Upload the required AppSpec file template. Save the appspec.yml file in the root directory folder of the revision. Specify the deployment group that includes the EC2 instances for the deployment.
Use AWS CloudFormation to create an infrastructure template in JSON format to deploy the EC2 instances. Use Cloud Formation helper scripts to install the necessary software and to start the application. Call the scripts directly from the template.
Use AWS AppSync to deploy the application. Upload the template as a GraphQL schema. Specify the EC2 instances for deployment of the application. Use resolvers as a version control mechanism and to make any updates to the deployments.
A company uses AWS X-Ray to monitor a serverless application. The components of the application have different request rates. The user interactions and transactions are important to trace, but they are low in volume. The background processes such as application health checks, polling, and connection maintenance generate high volumes of read-only requests.
Currently, the default X-Ray sampling rules are universal for all requests. Only the first request per second and some additional requests are recorded. This setup is not helping the company review the requests based on service or request type.
A developer must configure rules to trace requests based on service or request properties. The developer must trace the user interactions and transactions without wasting effort recording minor background tasks.
Which solution will meet these requirements?
Disable sampling for high-volume read-only requests. Sample at a lower rate for all requests that handle user interactions or transactions.
Disable sampling and trace all requests for requests that handle user interactions or transactions. Sample high-volume read-only requests at a higher rate.
Disable sampling and trace all requests for requests that handle user interactions or transactions. Sample high-volume read-only requests at a lower rate.
Disable sampling for high-volume read-only requests. Sample at a higher rate for all requests that handle user interactions or transactions.
A company has a serverless application that uses Amazon API Gateway backed by AWS Lambda proxy integration. The company is developing several backend APIs. The company needs a landing page to provide an overview of navigation to the APIs.
A developer creates a new /LandingPage resource and a new GET method that uses mock integration.
What should the developer do next to meet these requirements?
Configure the integration request mapping template with Content-Type of text/html and statusCode of 200. Configure the integration response mapping template with Content-Type of application/json. In the integration response mapping template, include the LandingPage HTML code that references the APIs.
Configure the Integration request mapping template with Content-Type of application/json. In the integration request mapping template, include the LandingPage HMTL code that references the APIs. Configure the integration response mapping template with Content-Type of text/html and statusCode of 200.
Configure the integration request mapping template with Content-Type of application/json and statusCode of 200. Configure the integration response mapping template with Content-Type of text/html. In the integration response mapping template, include the LandingPage HTML code that references the APIs.
Configure the integration request mapping template with Content-Type of text/html. In the integration request mapping template, include the LandingPage HTML code that references the APIs. Configure the integration response mapping template with Content-Type of application/json and statusCode of 200.
A developer is setting up infrastructure by using AWS Cloud Formation. If an error occurs when the resources described in the CloudFormation template are provisioned, successfully provisioned resources must be preserved. The developer must provision and update the CloudFormation stack by using the AWS CLI.
Which solution will meet these requirements?
Add an --enable-terminal ion-protection command line option to the create-stack command and the update-stack command.
Add a -disable-roll back command line option to the create-stack command and the update-stack command
Add a ---parameters ParameterKey=P reserve Resources. ParameterVaIue=True command line option to the create-stack command and the update-stack command.
Add a -tags Key=PreserveResources.VaIue=True command line option to the create-stack command and the update-stack command.
Question