A company is migrating its product development teams from an on-premises data center to a hybrid environment. The new environment will add four AWS Regions and will give the developers the ability to use the Region that is geographically closest to them.
All the development teams use a shared set of Linux applications. The on-premises data center stores the applications on a NetApp ONTAP storage device. The storage volume is mounted read-only on the development on-premises VMs. The company updates the applications on the shared volume once a week.
A DevOps engineer needs to replicate the data to all the new Regions. The DevOps engineer must ensure that the data is always up to date with deduplication. The data also must not be dependent on the availability of the on-premises storage device.
Which solution will meet these requirements?
A company hosts its staging website using an Amazon EC2 instance backed with Amazon EBS storage. The company wants to recover quickly with minimal data losses in the event of network connectivity issues or power failures on the EC2 instance.
Which solution will meet these requirements?
A company uses Amazon RDS for Microsoft SQL Server as its primary database. They need high availability within and across AWS Regions, with an RPO < 1 min and RTO < 10 min. Route 53 CNAME is used for the DB endpoint and must redirect to standby during failover.
Which solution meets these requirements?
A company operates sensitive workloads across the AWS accounts that are in the company ' s organization in AWS Organizations The company uses an IP address range to delegate IP addresses for Amazon VPC CIDR blocks and all non-cloud hardware.
The company needs a solution that prevents principals that are outside the company ' s IP address range from performing AWS actions In the organization ' s accounts
Which solution will meet these requirements?
A DevOps engineer used an AWS CloudFormation custom resource to set up AD Connector. The AWS Lambda function ran and created AD Connector, but CloudFormation is not transitioning from CREATE_IN_PROGRESS to CREATE_COMPLETE. Which action should the engineer take to resolve this issue?
A DevOps engineer needs a resilient CI/CD pipeline that builds container images, stores them in ECR, scans images for vulnerabilities, and is resilient to outages in upstream source image repositories.
Which solution meets this?
A company ' s DevOps engineer uses AWS Systems Manager to perform maintenance tasks. The company has a few Amazon EC2 instances that require a restart after notifications from AWS Health.
The DevOps engineer must implement an automated solution that uses Amazon EventBridge to remediate the notifications during the company ' s scheduled maintenance windows.
How should the DevOps engineer configure an EventBridge rule to meet these requirements?
A company’s web app runs on EC2 Linux instances and needs to monitor custom metrics for API response and DB query latency across instances with least overhead.
Which solution meets this?
A company has multiple development teams in different business units that work in a shared single AWS account All Amazon EC2 resources that are created in the account must include tags that specify who created the resources. The tagging must occur within the first hour of resource creation.
A DevOps engineer needs to add tags to the created resources that Include the user ID that created the resource and the cost center ID The DevOps engineer configures an AWS Lambda Function with the cost center mappings to tag the resources. The DevOps engineer also sets up AWS CloudTrail in the AWS account. An Amazon S3 bucket stores the CloudTrail event logs
Which solution will meet the tagging requirements?
A company releases a new application in a new AWS account. The application includes an AWS Lambda function that processes messages from an Amazon Simple Queue Service (Amazon SOS) standard queue. The Lambda function stores the results in an Amazon S3 bucket for further downstream processing. The Lambda function needs to process the messages within a specific period of time after the messages are published. The Lambda function has a batch size of 10 messages and takes a few seconds to process a batch of messages.
As load increases on the application ' s first day of service, messages in the queue accumulate at a greater rate than the Lambda function can process the messages. Some messages miss the required processing timelines. The logs show that many messages in the queue have data that is not valid. The company needs to meet the timeline requirements for messages that have valid data.
Which solution will meet these requirements?