Amazon Web Services passcert dva-c02 Based On Real Exam Environment by Dotty 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:	519 Q&A's	Shared By:	dotty

Question 36

A developer is migrating a containerized application from an on-premises environment to an Amazon ECS cluster.

In the on-premises environment, the container uses a Docker file to store the application. Service dependency configurations such as databases, caches, and storage volumes are stored in a docker-compose.yml file.

Both files are located at the top level of the code base that the developer needs to containerize. When the developer deploys the code to Amazon ECS, the instructions from the Docker file are carried out. However, none of the configurations from docker-compose.yml are applied.

The developer needs to resolve the error and ensure the configurations are applied.

Options:

Store the file path for the docker-compose.yml file as a Docker label. Add the label to the ECS cluster's container details.

Add the details from the docker-compose.yml file to an ECS task definition. Associate the task with the ECS cluster.

Create a namespace in the ECS cluster. Associate the docker-compose.yml file to the namespace.

Update the service type of the ECS cluster to REPLICA, and redeploy the stack.

Discussion

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Question 37

A developer used the AWS SDK to create an application that aggregates and produces log records for 10 services. The application delivers data to an Amazon Kinesis Data Streams stream.

Each record contains a log message with a service name, creation timestamp, and other log information. The stream has 15 shards in provisioned capacity mode. The stream uses service name as the partition key.

The developer notices that when all the services are producing logs, ProvisionedThroughputExceededException errors occur during PutRecord requests. The stream metrics show that the write capacity the applications use is below the provisioned capacity.

Options:

Change the capacity mode from provisioned to on-demand.

Double the number of shards until the throttling errors stop occurring.

Change the partition key from service name to creation timestamp.

Use a separate Kinesis stream for each service to generate the logs.

Discussion

Question 38

A company has an application that uses Amazon Cognito user pools as an identity provider. The company must secure access to user records. The company has set up multi-factor authentication (MFA). The company also wants to send a login activity notification by email every time a user logs in.

What is the MOST operationally efficient solution that meets this requirement?

Options:

Create an AWS Lambda function that uses Amazon Simple Email Service (Amazon SES) to send the email notification. Add an Amazon API Gateway API to invoke the function. Call the API from the client side when login confirmation is received.

Create an AWS Lambda function that uses Amazon Simple Email Service (Amazon SES) to send the email notification. Add an Amazon Cognito post authentication Lambda trigger for the function.

Create an AWS Lambda function that uses Amazon Simple Email Service (Amazon SES) to send the email notification. Create an Amazon CloudWatch Logs log subscription filter to invoke the function based on the login status.

Configure Amazon Cognito to stream all logs to Amazon Kinesis Data Firehose. Create an AWS Lambda function to process the streamed logs and to send the email notification based on the login status of each user.

Discussion

Question 39

A company operates on-premises data centers that run an image processing service composed of containerized applications on Kubernetes clusters. All applications share access to a common NFS file system for data storage.

The company is running out of NFS capacity and must migrate to AWS quickly. The Kubernetes clusters must be highly available on AWS.

Which combination of actions will meet these requirements? (Select TWO.)

Options:

Transfer the data from the NFS share to an Amazon EBS volume. Upload the container images to Amazon ECR.

Transfer the data from the NFS share to an Amazon EFS file system. Upload the container images to Amazon ECR.

Create an Amazon ECS cluster and configure each node to mount the Amazon EBS volume.

Create an Amazon EKS cluster and configure each node to mount the Amazon EBS volume.

Create an Amazon EKS cluster and configure each node to mount the Amazon EFS file system.