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A company has a web application that uses AWS Elastic Beanstalk, Amazon S3, and Amazon DynamoDB to develop a web application. The web application has increased dramatically in popularity, resulting in unpredictable spikes in traffic. A DevOps Engineer has noted that 90% of the requests are duplicate read requests to the DynamoDB table and the images stored in an S3 bucket.

How can the Engineer improve the performance of the website?

A. Use Amazon ElastiCache for Redis to cache repeated read requests to DynamoDB and AWS Elemental MediaStore to cache images stored in S3.

B. Use Amazon ElastiCache for Memcached to cache repeated read requests to DynamoDB and Amazon EFS to cache images stored in S3.

C. Use DynamoDB Accelerator to cache repeated read requests to DynamoDB and Amazon CloudFront to cache images stored in S3.

D. Use DynamoDB Streams to cache repeated read requests to DynamoDB and API Gateway to cache images stored in S3.

A DevOps team wants to implement their containerized application using AWS. The deployment must meet the following requirements:

1.

There should be minimal downtime during deployment.

2.

The application must be functionally tested to be considered a success.

How can the DevOps team automate this deployment?

A. Use AWS Elastic Beanstalk with a multi-Docker container solution stack. Select immutable updates as a deployment strategy. Select enhanced health as a monitoring type in the Elastic Beanstalk environment to ensure health checks are transmitted at deployment.

B. Use an Amazon ECS cluster and service with an Application Load Balancer and an AWS CodeDeploy blue/green deployment type. Define a production port and a test port in Amazon ECS. Write an AWS Lambda function to test the application, and reference it within the AfterAllowTestTraffic hook in the appspec.yml.

C. Use AWS CloudFormation to provision Amazon EC2 instances behind an Application Load Balancer. Deploy the containers using Amazon ECS. Upon deployment, replicate the configuration in the new EC2 instances, perform testing, and switch traffic from the old Application Load Balancer to the new one using Amazon Route 53.

D. Use an Amazon ECS cluster and service along with Amazon EC2 instances and an Application Load Balancer. Select rolling update as a deployment strategy. Add a Docker health check within the task definition to ensure rollback if the health check fails.

Your company has developed a web application and is hosting it in an Amazon S3 bucket configured for static website hosting. The application is using the AWS SDK for JavaScript in the browser to access data stored in an Amazon

DynamoDB table.

How can you ensure that API keys for access to your data in DynamoDB are kept secure?

A. Create an Amazon S3 role in IAM with access to the specific DynamoDB tables, and assign it to the bucket hosting your website.

B. Configure S3 bucket tags with your AWS access keys for your bucket hosing your website so that the application can query them for access.

C. Configure a web identity federation role within IAM to enable access to the correct DynamoDB resources and retrieve temporary credentials.

D. Store AWS keys in global variables within your application and configure the application to use these credentials when making requests.

You are doing a load testing exercise on your application hosted on AWS. While testing your Amazon RDS MySQL DB instance, you notice that when you hit 100% CPU utilization on it, your application becomes non- responsive. Your

application is read-heavy.

What are methods to scale your data tier to meet the application's needs? (Choose three.)

A. Add Amazon RDS DB read replicas, and have your application direct read queries to them.

B. Add your Amazon RDS DB instance to an Auto Scaling group and configure your CloudWatch metric based on CPU utilization.

C. Use an Amazon SQS queue to throttle data going to the Amazon RDS DB instance.

D. Use ElastiCache in front of your Amazon RDS DB to cache common queries.

E. Shard your data set among multiple Amazon RDS DB instances.

F. Enable Multi-AZ for your Amazon RDS DB instance.

A user is defining a policy for an IAM user. Which of the below mentioned options is a valid version defined for the policy?

A. "Version":"2014-01-01"

B. "Version":"2011-10-17"

C. "Version":"2013-10-17"

D. "Version":"2012-10-17"