A company is using AWS CodeDeploy to manage its application deployments. Recently, the Development team decided to use GitHub for version control, and the team is looking for ways to integrate the GitHub repository with CodeDeploy. The team also needs to develop a way to automate deployment whenever there is a new commit on that repository. The team is currently deploying new application revisions by manually indicating the Amazon S3 location.
How can the integration be achieved in the MOST efficient way?

• A.Create an AWS Lambda function to check periodically if there has been a new commit within the GitHub repository. If a new commit is found, trigger a CreateDeployment API call to AWS CodeDeploy to start a new deployment based on the last commit ID within the deployment group.
• B.Create an AWS CodePipeline pipeline that uses GitHub as a source provider and AWS CodeDeploy as a deployment provider. Connect this new pipeline with the GitHub account and instruct CodePipeline to use webhooks in GitHub to automatically start the pipeline when a change occurs.
• C.Create an AWS CodeDeploy custom deployment configuration to associate the GitHub repository with the deployment group. During the association process, authenticate the deployment group with GitHub to obtain the GitHub security authentication token. Configure the deployment group options to automatically deploy if a new commit is found. Perform a new commit to the GitHub repository to trigger the first deployment.
• D.Create a GitHub webhook to replicate the repository to AWS CodeCommit. Create an AWS CodePipeline pipeline that uses CodeCommit as a source provider and AWS CodeDeploy as a deployment provider. Once configured, commit a change to the GitHub repository to start the first deployment.

Comment: *

Name: *

Email: *

Verification: *

You work for a company that has multiple applications which are very different and built on different programming languages. How can you deploy applications as quickly as possible?

• A.Develop each app in one Docker container and deploy using ElasticBeanstalk
• B.Create a Lambda function deployment package consisting of code and any dependencies
• C.Develop each app in a separate Docker container and deploy using Elastic Beanstalk V
• D.Develop each app in a separate Docker containers and deploy using CloudFormation

Comment: *

Name: *

Email: *

Verification: *

Your company wants to understand where cost is coming from in the company's production AWS account.
There are a number of applications and services running at any given time. Without expending too much initial development time.how best can you give the business a good understanding of which applications cost the most per month to operate?

• A.Create an automation script which periodically creates AWS Support tickets requesting detailed intra-month information about your bill.
• B.Use custom CloudWatch Metrics in your system, and put a metric data point whenever cost is incurred.
• C.Use AWS Cost Allocation Taggingfor all resources which support it. Use the Cost Explorer to analyze costs throughout the month.
• D.Use the AWS Price API and constantly running resource inventory scripts to calculate total price based on multiplication of consumed resources over time.

Comment: *

Name: *

Email: *

Verification: *

Your application uses Amazon SQS and Auto Scaling to process background jobs.
The Auto Scaling policy is based on the number of messages in the queue, with a maximum Instance count of 100.
Since the application was launched, the group has never scaled above 50.
The Auto Scaling group has now scaled to 100, the queue size is increasing, and very few Jobs are being completed.
The number of messages being sent to the queue is at normal levels.
What should you do to identify why the queue size is unusually high, and to reduce it?

• A.Analyze CloudTrail logs for Amazon SQS to ensure that the instances' Amazon EC2 role has permission to receive messages from the queue.
• B.Analyze the application logs to identify possible reasons for message processing failure and resolve the cause for failures.
• C.Create additional Auto Scaling groups, enabling the processing of the queue to be performed in parallel.
• D.Temporarily increase the Auto Scaling group's desired value to 200. When the queue size has been reduced, reduce it to 50.

Comment: *

Name: *

Email: *

Verification: *

An application is currently writing a large number of records to a DynamoDB table in one region. There is a requirement for a secondary application tojust take in the changes to the DynamoDB table every 2 hours and process the updates accordingly. Which of the following is an ideal way to ensure the secondary application can get the relevant changes from the DynamoDB table.

• A.Inserta timestamp for each record and then scan the entire table for the timestamp asper the last 2 hours.
• B.Createanother DynamoDB table with the records modified in the last 2 hours.
• C.UseDynamoDB streams to monitor the changes in the DynamoDB table.
• D.Transferthe records to S3 which were modified in the last 2 hours

Comment: *

Name: *

Email: *

Verification: *