A retail company has adopted AWS OpsWorks for managing its deployments. In the last three months, the company has discovered that some production instances have been restarting without reason. Upon inspection of the AWS CloudTrail logs, a DevOps Engineer determined that those instances were restarted by OpsWorks. The Engineer now wants automated email notifications whenever OpsWorks restarts an instance when the instance is deemed unhealthy or unable to communicate with the service endpoint. How can the Engineer meet this requirement?

• A.Create an Amazon SNS topic and create a subscription for this topic that contains the destination email address. Create an Amazon CloudWatch rule: specify as a source and specify auto-healing in the initiated_by details. Use the SNS topic as a target. aws.opsworks
• B.Create a subscription for this topic that contains the email address. Enable instance restart notifications within the OpsWorks layer and indicate the destination email address for the notification
• C.Create a Chef recipe to place a cron to run a custom script within the Amazon EC2 instances that sends an email to the team by using Amazon SES if the OpsWorks agent detects an instance failure.
• D.Create an Amazon SNS topic and create a subscription for this topic that contains the destination email address. Create an Amazon CloudWatch rule specify as a source and specify instance-replacement in the initiated_by details. Use the SNS topic as a target. aws.opsworks

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A company has 100 GB of log data in an Amazon S3 bucket stored in .csv format. SQL developers want to query this data and generate graphs to visualize it. They also need an efficient, automated way to store metadata from the .csv file.
Which combination of steps should be taken to meet these requirements with the LEAST amount of effort?
(Select THREE.)

• A.Query the data with Amazon Redshift.
• B.Query the data with Amazon Athena.
• C.Use AWS Glue as the persistent metadata store.
• D.Filter the data through Amazon QuickSight to visualize the data.
• E.Use Amazon S3 as the persistent metadata store.
• F.Filter the data through AWS X-Ray to visualize the data.

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You are a Devops Engineer for your company. Your company is using Opswork stack to rollout a collection of web instances. When the instances are launched, a configuration file need to be setup prior to the launching of the web application hosted on these instances. Which of the following steps would you carry out to ensure this requirement gets fulfilled. Choose 2 answers from the options given below

• A.Ensurethat the Opswork stack is changed to use the AWS specific cookbooks
• B.Ensurethat the Opswork stack is changed to use custom cookbooks
• C.Configurea recipe which sets the configuration file and add it to the ConfigureLifeCycle Event of the specific web layer.
• D.Configurea recipe which sets the configuration file and add it to the Deploy LifeCycleEvent of the specific web layer.

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You need to create a simple, holistic check for your system's general availablity and uptime. Your system presents itself as an HTTP-speaking API. What is the most simple tool on AWS to achieve this with?

• A.Route53 Health Checks
• B.CloudWatch Health Checks
• C.AWS ELB Health Checks
• D.EC2 Health Checks

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A company is deploying a new mobile game on AWS for its customers around the world. The Development team uses AWS Code services and must meet the following requirements:
- Clients need to send/receive real-time playing data from the backend frequently and with minimal latency
- Game data must meet the data residency requirement
Which strategy can a DevOps Engineer implement to meet their needs?

• A.Deploy the backend application to multiple regions. Any update to the code repository triggers a two-stage build and deployment pipeline. A successful deployment in one region invokes an AWS Lambda function to copy the build artifacts to an Amazon S3 bucket in another region. After the artifact is copied, it triggers a deployment pipeline in the new region.
• B.Deploy the backend application to multiple regions. Use AWS Direct Connect to serve the application backend to global customers. Any update to the code repository triggers a two-stage build-and-deployment pipeline in the region. After a successful deployment in the region, the pipeline continues to deploy the artifact to another region.
• C.Deploy the backend application to multiple regions. Any update to the code repository triggers a two-stage build-and-deployment pipeline in the region. After a successful deployment in the region, the pipeline invokes the pipeline in another region and passes the build artifact location. The pipeline uses the artifact location and deploys applications in the new region.
• D.Deploy the backend application to multiple Availability Zones in a single region. Create an Amazon CloudFront distribution to serve the application backend to global customers. Any update to the code repository triggers a two-stage build-and-deployment pipeline. The pipeline deploys the backend application to all Availability Zones.

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