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NEW QUESTION 31
A company is running a containerized application in the AWS Cloud. The application is running by using Amazon Elastic Container Service (Amazon ECS) on a set Amazon EC2 instances. The EC2 instances run in an Auto Scaling group.
The company uses Amazon Elastic Container Registry (Amazon ECRJ to store its container images When a new image version is uploaded, the new image version receives a unique tag The company needs a solution that inspects new image versions for common vulnerabilities and exposures The solution must automatically delete new image tags that have Cntical or High severity findings The solution also must notify the development team when such a deletion occurs Which solution meets these requirements'?

• A. Schedule an AWS Lambda function to start a manual image scan every hour Configure Amazon EventBridge (Amazon CloudWatch Events) to invoke another Lambda function when a scan is complete. Use the second Lambda function to delete the image tag for images that have Cnocal or High severity findings. Notify the development team by using Amazon Simple Notification Service (Amazon SNS)
• B. Configure scan on push on the repository. Use Amazon EventBndge (Amazon ClouoWatch Events) to invoke an AWS Step Functions state machine when a scan is complete for images that have Cntical or High severity findings Use the Step Functions state machine to delete the image tag for those images and to notify the development team through Amazon Simple Notification Service (Amazon SNS)
• C. Configure periodic image scan on the repository Configure scan results to be added to an Amazon Simple Queue Service (Amazon SQS) queue Invoke an AWS Step Functions state machine when a new message is added to the SQS queue Use the Step Functions state machine to delete the image tag for images that have Critical or High severity findings. Notify the development team by using Amazon Simple Email Service (Amazon SES).
• D. Configure scan on push on the repository Configure scan results to be pushed to an Amazon Simple Queue Service (Amazon SQS) queue Invoke an AWS Lambda function when a new message is added to the SOS queue Use the Lambda function to delete the image tag for images that have Critical or High seventy findings. Notify the development team by using Amazon Simple Email Service (Amazon SES).

Answer: A

NEW QUESTION 32
An on-premises application will be migrated to the cloud. The application consists of a single Elasticsearch virtual machine with data source feeds from local systems that will not be migrated, and a Java web application on Apache Tomcat running on three virtual machines. The Elasticsearch server currently uses 1 TB of storage out of 16 TB available storage, and the web application is updated every 4 months. Multiple users access the web application from the Internet. There is a 10Gbit AWS Direct Connect connection established, and the application can be migrated over a schedules 48-hour change window.
Which strategy will have the LEAST impact on the Operations staff after the migration?

• A. Create an Elasticsearch server on Amazon EC2 right-sized with 2 TB of Amazon EBS and a public AWS Elastic Beanstalk environment for the web application. Pause the data sources, export the Elasticsearch index from on premises, and import into the EC2 Elasticsearch server.
  Move data source feeds to the new Elasticsearch server and move users to the web application.
• B. Create an Amazon ES cluster for Elasticsearch and a public AWS Elastic Beanstalk environment for the web application. Use AWS DMS to replicate Elasticsearch data. When replication has finished, move data source feeds to the new Amazon ES cluster endpoint and move users to the new web application.
• C. Create an Amazon ES cluster for Elasticsearch and a public AWS Elastic Beanstalk environment for the web application. Pause the data source feeds, export the Elasticsearch index from on premises, and import into the Amazon ES cluster. Move the data source feeds to the new Amazon ES cluster endpoint and move users to the new web application.
• D. Use the AWS SMS to replicate the virtual machines into AWS. When the migration is complete, pause the data source feeds and start the migrated Elasticsearch and web application instances.
  Place the web application instances behind a public Elastic Load Balancer. Move the data source feeds to the new Elasticsearch server and move users to the new web Application Load Balancer.

Answer: B

Explanation:
A: uses EC2s, and that requires maintenance after the migration. contradicting with least operation after migration.
C: Good, but again uses self Elastic Search and EC2s, which requires operation maintenance staff after migration.
D: the sequence of moving the index to ES is wrong. They should have replicate then pause!
However, answer "B" uses DMS as a replication tool.
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Target.Elasticsearch.html
https://aws.amazon.com/blogs/database/introducing-amazon-elasticsearch-service-as-a-target-in- aws-database-migration-service/

NEW QUESTION 33
A company recently deployed an application on AWS. The application uses Amazon DynamoDB. The company measured the application load and configured the RCUs and WCUs on the DynamoDB table to match the expected peak load. The peak load occurs once a week for a 4-hour period and is double the average load. The application load is close to the average load tor the rest of the week. The access pattern includes many more writes to the table than reads of the table.
A solutions architect needs to implement a solution to minimize the cost of the table.
Which solution will meet these requirements?

• A. Configure on-demand capacity mode for the table.
• B. Configure DynamoDB Accelerator (DAX) in front of the table. Reduce the provisioned read capacity to match the new peak load on the table.
• C. Use AWS Application Auto Scaling to increase capacity during the peak period. Purchase reserved RCUs and WCUs to match the average load.
• D. Configure DynamoDB Accelerator (DAX) in front of the table. Configure on-demand capacity mode for the table.

Answer: D

NEW QUESTION 34
A company is currently using AWS CodeCommit for its source control and AWS CodePipeline for continuous integration. The pipeline has a build stage for building the artifacts which is then staged in an Amazon S3 bucket.
The company has identified various improvement opportunities in the existing process, and a Solutions Architect has been given the following requirement:
- Create a new pipeline to support feature development
- Support feature development without impacting production applications
- Incorporate continuous testing with unit tests
- Isolate development and production artifacts
- Support the capability to merge tested code into production code.
How should the Solutions Architect achieve these requirements?

• A. Trigger a separate pipeline from CodeCommit feature branches. Use AWS CodeBuild for running unit tests. Use CodeBuild to stage the artifacts within an S3 bucket in a separate testing account.
• B. Create a separate CodeCommit repository for feature development and use it to trigger the pipeline.
  Use AWS Lambda for running unit tests. Use AWS CodeBuild to stage the artifacts within different S3 buckets in the same production account.
• C. Trigger a separate pipeline from CodeCommit tags Use Jenkins for running unit tests. Create a stage in the pipeline with S3 as the target for staging the artifacts with an S3 bucket in a separate testing account.
• D. Trigger a separate pipeline from CodeCommit feature branches. Use AWS Lambda for running unit tests. Use AWS CodeDeploy to stage the artifacts within an S3 bucket in a separate testing account.

Answer: A

NEW QUESTION 35
A retail company processes point-of-state data on application servers in its data center and writes outputs to Amazon DynamoDB table. The data center is connected to the company's VPC with an AWS Direct Connect (DX) connection, and the application servers require a consistent network connection at speed greater than 2 Gbps.
The company decides that the DynamoDB table needs to be highly available and fault tolerant.
The company policy states that the data should be available across two regions. What changes should the company make to meet these requirements?

• A. Establish a second DX connection for redundancy. Create an identical DynamoDB table in a second Region. Enable DynamoDB auto scaling to manage throughput capacity. Modify the application to write to the second Region.
• B. Use AWS managed VPN as a backup to DX. Create an identical DynamoDB table in a second Region. Enable DynamoDB streams to capture changes to the table. Use AWS Lambda to replicate changes to the second Region.
• C. Use an AWS managed VPN as a backup to DX. Create an identical DynamoDB table in a second Region. Modify the application to replicate data to both regions.
• D. Establish a second DX connection for redundancy. Use DynamoDB global tables to replicate data to a second Region modify the application to fail over to the second Region.

Answer: D

NEW QUESTION 36
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