Amazon Web Services itexams aws Certified Associate Dva-c02 Dumps Pdf by Madeleine q39 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:	546 Q&A's	Shared By:	madeleine

Question 44

A developer is creating an AWS Lambda function that will connect to an Amazon RDS for MySQL instance. The developer wants to store the database credentials. The database credentials need to be encrypted and the database password needs to be automatically rotated.

Which solution will meet these requirements?

Options:

Store the database credentials as environment variables for the Lambda function. Set the environment variables to rotate automatically.

Store the database credentials in AWS Secrets Manager. Set up managed rotation on the database credentials.

Store the database credentials in AWS Systems Manager Parameter Store as secure string parameters. Set up managed rotation on the parameters.

Store the database credentials in the X-Amz-Security-Token parameter. Set up managed rotation on the parameter.

Discussion

Question 45

A developer runs an application that displays scores for sports games on Amazon EC2 instances. The application uses a Redis client to retrieve the scores from an Amazon ElastiCache (Redis OSS) cluster.

The developer observes increased latency during operations on the cache because of connection failures to the cluster. The developer needs to resolve the latency issues.

Options:

Configure the Redis client to use an exponential backoff retry strategy to establish cache connections.

Store the scores in the application ' s memory. Perform bulk set operations on the scores that are stored in memory.

Configure the Redis client in the application to persist connections to the cluster by implementing a connection pool.

Deploy more nodes in the ElastiCache cluster. Update the Redis client to discover the new nodes.

Discussion

Question 46

A developer is building a microservice that uses AWS Lambda to process messages from an Amazon Simple Queue Service (Amazon SQS) standard queue. The Lambda function calls external APIs to enrich the SOS message data before loading the data into an Amazon Redshift data warehouse. The SOS queue must handle a maximum of 1.000 messages per second.

During initial testing, the Lambda function repeatedly inserted duplicate data into the Amazon Redshift table. The duplicate data led to a problem with data analysis. All duplicate messages were submitted to the queue within 1 minute of each other.

How should the developer resolve this issue?

Options:

Create an SOS FIFO queue. Enable message deduplication on the SOS FIFO queue.

Reduce the maximum Lambda concurrency that the SOS queue can invoke.

Use Lambda ' s temporary storage to keep track of processed message identifiers.

Configure a message group ID for every sent message. Enable message deduplication on the SQS standard queue.

Discussion

Question 47

A company runs a payment application on Amazon EC2 instances behind an Application Load Balance The EC2 instances run in an Auto Scaling group across multiple Availability Zones The application needs to retrieve application secrets during the application startup and export the secrets as environment variables These secrets must be encrypted at rest and need to be rotated every month.

Which solution will meet these requirements with the LEAST development effort?

Options:

Save the secrets in a text file and store the text file in Amazon S3 Provision a customer managed key Use the key for secret encryption in Amazon S3 Read the contents of the text file and read the export as environment variables Configure S3 Object Lambda to rotate the text file every month

Save the secrets as strings in AWS Systems Manager Parameter Store and use the default AWS Key Management Service (AWS KMS) key Configure an Amazon EC2 user data script to retrieve the secrets during the startup and export as environment variables Configure an AWS Lambda function to rotate the secrets in Parameter Store every month.

Save the secrets as base64 encoded environment variables in the application properties. Retrieve the secrets during the application startup. Reference the secrets in the application code. Write a script to rotate the secrets saved as environment variables.

Store the secrets in AWS Secrets Manager Provision a new customer master key Use the key to encrypt the secrets Enable automatic rotation Configure an Amazon EC2 user data script to programmatically retrieve the secrets during the startup and export as environment variables

Discussion

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