Amazon Web Services dumpscollection vce Dva-c02 Questions Latest by Blanka q52 vce pdf

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Exam Name:	AWS Certified Developer - Associate
Exam Code:	DVA-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	425 Q&A's	Shared By:	blanka

Question 84

A company is implementing an application on Amazon EC2 instances. The application needs to process incoming transactions. When the application detects a transaction that is not valid, the application must send a chat message to the company's support team. To send the message, the application needs to retrieve the access token to authenticate by using the chat API.

A developer needs to implement a solution to store the access token. The access token must be encrypted at rest and in transit. The access token must also be accessible from other AWS accounts.

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

Options:

Use an AWS Systems Manager Parameter Store SecureString parameter that uses an AWS Key Management Service (AWS KMS) AWS managed key to store the access token. Add a resource-based policy to the parameter to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Parameter Store. Retrieve the token from Parameter Store with the decrypt flag enabled. Use the decrypted access token to send the mess

Encrypt the access token by using an AWS Key Management Service (AWS KMS) customer managed key. Store the access token in an Amazon DynamoDB table. Update the IAM role of the EC2 instances with permissions to access DynamoDB and AWS KMS. Retrieve the token from DynamoDB. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the message to the chat.

Use AWS Secrets Manager with an AWS Key Management Service (AWS KMS) customer managed key to store the access token. Add a resource-based policy to the secret to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Secrets Manager. Retrieve the token from Secrets Manager. Use the decrypted access token to send the message to the chat.

Encrypt the access token by using an AWS Key Management Service (AWS KMS) AWS managed key. Store the access token in an Amazon S3 bucket. Add a bucket policy to the S3 bucket to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Amazon S3 and AWS KMS. Retrieve the token from the S3 bucket. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the ma

Discussion

Question 85

A company is building an ecommerce application. The company stores the application's static content in an Amazon S3 bucket. The application stores data that includes personally identifiable information (PII). The application makes dynamic requests in JSON format through an Amazon CloudFront distribution to an Amazon API Gateway REST API. The REST API invokes an AWS Lambda function that stores and queries data in Amazon DynamoDB.

The company must ensure that all PII data is encrypted at rest in DynamoDB. The company must also protect specific data fields more granularly. The company must ensure that the specified fields are encrypted at the edge. The specified fields must remain encrypted throughout the full stack of the application.

Which solution will meet these requirements?

Options:

Configure a Lambda@Edge function to identify and encrypt the sensitive fields. Associate the function with the CloudFront distribution.

Create an RSA key pair. Configure the CloudFront distribution to use field-level encryption directly.

Create an AWS KMS key. Update the Lambda function to encrypt the data before inserting the data into DynamoDB. Configure the function to decrypt the data after retrieval.

Create a new resource on the existing REST API and add a new POST method to the new resource. Configure the POST method to invoke the Lambda function and an AWS KMS key to encrypt the sensitive data fields.

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Question 86

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?

Options:

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

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

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

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

Discussion

Question 87

A developer is building an ecommerce application that uses AWS Lambda functions. Each Lambda function performs a specific step in a customer order workflow, such as order processing and inventory management. The developer must ensure that the Lambda functions run in a specific order.

Which solution will meet this requirement with the LEAST operational overhead?

Options:

Configure an Amazon SQS queue to contain messages about each step that a Lambda function must perform. Configure the Lambda functions to run sequentially based on the order of messages in the SQS queue.

Configure an Amazon SNS topic to contain notifications about each step that a Lambda function must perform. Subscribe the Lambda functions to the SNS topic. Use subscription filters based on the step that each Lambda function must perform.

Configure an AWS Step Functions state machine to invoke the Lambda functions in a specific order.

Configure Amazon EventBridge Scheduler schedules to invoke the Lambda functions in a specific order.