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Free Amazon DVA-C02 Exam Actual Questions

The questions for DVA-C02 were last updated On Apr. 08, 2024

Question #1

A developer supports an application that accesses data in an Amazon DynamoDB table. One of the item attributes is expirationDate in the timestamp format. The application uses this attribute to find items, archive them, and remove them from the table based on the timestamp value

The application will be decommissioned soon, and the developer must find another way to implement this functionality. The developer needs a solution that will require the least amount of code to write.

Which solution will meet these requirements?

AEnable TTL on the expirationDate attribute in the table. Create a DynamoDB stream. Create an AWS Lambda function to process the deleted items. Create a DynamoDB trigger for the Lambda function.

BCreate two AWS Lambda functions one to delete the items and one to process the items Create a DynamoDB stream Use the Deleteltem API operation to delete the items based on the expirationDate attribute Use the GetRecords API operation to get the items from the DynamoDB stream and process them

CCreate two AWS Lambda functions, one to delete the items and one to process the items. Create an Amazon EventBndge scheduled rule to invoke the Lambda Functions Use the Deleteltem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB table and process them.

DEnable TTL on the expirationDate attribute in the table Specify an Amazon Simple Queue Service (Amazon SQS> dead-letter queue as the target to delete the items Create an AWS Lambda function to process the items

Reveal Solution

Correct Answer: A

TTL for Automatic Deletion:DynamoDB's Time-to-Live effortlessly deletes expired items without manual intervention.

DynamoDB Stream:Captures changes to the table, including deletions of expired items, triggering downstream actions.

Lambda for Processing:A Lambda function connected to the stream provides custom logic for handling the deleted items.

Code Efficiency:This solution leverages native DynamoDB features and stream-based processing, minimizing the need for custom code.

DynamoDB TTL Documentation:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html

DynamoDB Streams Documentation:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html

Question #2

A company runs an application on AWS The application stores data in an Amazon DynamoDB table Some queries are taking a long time to run These slow queries involve an attribute that is not the table's partition key or sort key

The amount of data that the application stores in the DynamoDB table is expected to increase significantly. A developer must increase the performance of the queries.

Which solution will meet these requirements'?

AIncrease the page size for each request by setting the Limit parameter to be higher than the default value Configure the application to retry any request that exceeds the provisioned throughput.

BCreate a global secondary index (GSI). Set query attribute to be the partition key of the index

CPerform a parallel scan operation by issuing individual scan requests in the parameters specify the segment for the scan requests and the total number of segments for the parallel scan.

DTurn on read capacity auto scaling for the DynamoDB table. Increase the maximum read capacity units (RCUs).

Reveal Solution

Correct Answer: B

Global Secondary Index (GSI):GSIs enable alternative query patterns on a DynamoDB table by using different partition and sort keys.

Addressing Query Bottleneck:By making the slow-query attribute the GSI's partition key, you optimize queries on that attribute.

Scalability:GSIs automatically scale to handle increasing data volumes.

Amazon DynamoDB Global Secondary Indexes:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI.html

Question #3

A developer maintains a critical business application that uses Amazon DynamoDB as the primary data store The DynamoDB table contains millions of documents and receives 30-60 requests each minute The developer needs to perform processing in near-real time on the documents when they are added or updated in the DynamoDB table

How can the developer implement this feature with the LEAST amount of change to the existing application code?

ASet up a cron job on an Amazon EC2 instance Run a script every hour to query the table for changes and process the documents

BEnable a DynamoDB stream on the table Invoke an AWS Lambda function to process the documents.

CUpdate the application to send a PutEvents request to Amazon EventBridge. Create an EventBridge rule to invoke an AWS Lambda function to process the documents.

DUpdate the application to synchronously process the documents directly after the DynamoDB write

Reveal Solution

Correct Answer: B

DynamoDB Streams:Capture near real-time changes to DynamoDB tables, triggering downstream actions.

Lambda for Processing:Lambda functions provide a serverless way to execute code in response to events like DynamoDB Stream updates.

Minimal Code Changes:This solution requires the least modifications to the existing application.

DynamoDB Streams:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html

AWS Lambda:https://aws.amazon.com/lambda/

Question #4

A company needs to set up secure database credentials for all its AWS Cloud resources. The company's resources include Amazon RDS DB instances Amazon DocumentDB clusters and Amazon Aurora DB instances. The company's security policy mandates that database credentials be encrypted at rest and rotated at a regular interval.

Which solution will meet these requirements MOST securely?

ASet up IAM database authentication for token-based access. Generate user tokens to provide centralized access to RDS DB instances. Amazon DocumentDB clusters and Aurora DB instances.

BCreate parameters for the database credentials in AWS Systems Manager Parameter Store Set the Type parameter to Secure Sting. Set up automatic rotation on the parameters.

CStore the database access credentials as an encrypted Amazon S3 object in an S3 bucket Block all public access on the S3 bucket. Use S3 server-side encryption to set up automatic rotation on the encryption key.

DCreate an AWS Lambda function by using the SecretsManagerRotationTemplate template in the AWS Secrets Manager console. Create secrets for the database credentials in Secrets Manager Set up secrets rotation on a schedule.

Reveal Solution

Correct Answer: D

This solution will meet the requirements by using AWS Secrets Manager, which is a service that helps protect secrets such as database credentials by encrypting them with AWS Key Management Service (AWS KMS) and enabling automatic rotation of secrets. The developer can create an AWS Lambda function by using the SecretsManagerRotationTemplate template in the AWS Secrets Manager console, which provides a sample code for rotating secrets for RDS DB instances, Amazon DocumentDB clusters, and Amazon Aurora DB instances. The developer can also create secrets for the database credentials in Secrets Manager, which encrypts them at rest and provides secure access to them. The developer can set up secrets rotation on a schedule, which changes the database credentials periodically according to a specified interval or event. Option A is not optimal because it will set up IAM database authentication for token-based access, which may not be compatible with all database engines and may require additional configuration and management of IAM roles or users. Option B is not optimal because it will create parameters for the database credentials in AWS Systems Manager Parameter Store, which does not support automatic rotation of secrets. Option C is not optimal because it will store the database access credentials as an encrypted Amazon S3 object in an S3 bucket, which may introduce additional costs and complexity for accessing and securing the data.

Question #5

A developer wants to add request validation to a production environment Amazon API Gateway API. The developer needs to test the changes

before the API is deployed to the production environment. For the test, the developer will send test requests to the API through a testing tool.

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

AExport the existing API to an OpenAPI file. Create a new API. Import the OpenAPI file. Modify the new API to add request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.

BModify the existing API to add request validation. Deploy the updated API to a new API Gateway stage. Perform the tests. Deploy the updated API to the API Gateway production stage.

CCreate a new API. Add the necessary resources and methods, including new request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.

DClone the existing API. Modify the new API to add request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.

Reveal Solution

Correct Answer: B

Amazon API Gateway allows you to create, deploy, and manage a RESTful API to expose backend HTTP endpoints, AWS Lambda functions, or other AWS services1.You can use API Gateway to perform basic validation of an API request before proceeding with the integration request1.When the validation fails, API Gateway immediately fails the request, returns a 400 error response to the caller, and publishes the validation results in CloudWatch Logs1.

To test changes before deploying to a production environment, you can modify the existing API to add request validation and deploy the updated API to a new API Gateway stage1. This allows you to perform tests without affecting the production environment.Once testing is complete and successful, you can then deploy the updated API to the API Gateway production stage1.

This approach has the least operational overhead as it avoids unnecessary creation of new APIs or exporting and importing of APIs.It leverages the existing infrastructure and only requires changes in the configuration of the existing API1.

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