An online retail company based in the United States plans to expand its operations to Europe and Asia in the next six months. Its product currently runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. All data is stored in an Amazon Aurora database instance. When the product is deployed in multiple regions, the company wants a single product catalog across all regions, but for compliance purposes, its customer information and purchases must be kept in each region. How should the company meet these requirements with the LEAST amount of application changes?

• A.Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.
• B.Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.
• C.Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.
• D.Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases

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A company wants to implement a CI/CD pipeline for an application that is deployed on AWS. The company also has a source-code analysis tool hosted on premises that checks for security flaws. The tool has not yet been migrated to AWS and can be accessed only on-premises server. The company wants to run checks against the source code as part of the pipeline before the code is compiled. The checks take anywhere from minutes to an hour to complete.
How can a DevOps Engineer meet these requirements?

• A.Use AWS CodePipeline to create a pipeline. Add an action to the pipeline to invoke an AWS Lambda function after the source stage. Have the Lambda function invoke the source-code analysis tool on premises against the source input from CodePipeline. The function then waits for the execution to complete and places the output in a specified Amazon S3 location.
• B.Use AWS CodePipeline to create a pipeline, then create a custom action type. Create a job worker for the on-premises server that polls CodePipeline for job requests, initiates the tests, and returns the results.
  Configure the pipeline to invoke the custom action after the source stage.
• C.Use AWS CodePipeline to create a pipeline. Add a step after the source stage to make an HTTPS request to the on-premises hosted web service that invokes a test with the source code analysis tool. When the analysis is complete, the web service sends the results back by putting the results in an Amazon S3 output location provided by CodePipeline.
• D.Use AWS CodePipeline to create a pipeline. Create a shell script that copies the input source code to a location on premises. Invoke the source code analysis tool and return the results to CodePipeline. Invoke the shell script by adding a custom script action after the source stage.

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You are creating a new API for video game scores. Reads are 100 times more common than writes, and
the top 1% of scores are read 100 times more frequently than the rest of the scores. What's the best
design for this system, using DynamoDB?

• A.DynamoDB table with 100x higher read than write throughput, with CloudFront caching.
• B.DynamoDB table with roughly equal read and write throughput, with CloudFront caching.
• C.DynamoDB table with 100x higher read than write throughput, with ElastiCache caching.
• D.DynamoDB table with roughly equal read and write throughput, with ElastiCache caching.

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Which of the following is false when it comes to using the Elastic Load balancer with Opsworks stacks?

• A.Youcan attach only one load balancer to a layer.
• B.A Classic Load Balancer can span across AWSOpsWorks Stacks layers.
• C.Eachload balancer can handle only one layer.
• D.Youneed to create the load balancer before hand and then attach it to the Opsworkstack.

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A company's web application will be migrated to AWS. The application is designed so that there is no server-side code required. As part of the migration, the company would like to improve the security of the application by adding HTTP response headers, following the Open Web Application Security Project (OWASP) secure headers recommendations.
How can this solution be implemented to meet the security requirements using best practices?

• A.Use an Amazon S3 bucket configured for website hosting, then set up server access logging on the S3 bucket to track user activity. Then configure the static website hosting and execute a scheduled AWS Lambda function to verify, and if missing, add security headers to the metadata.
• B.Use an Amazon S3 bucket configured for website hosting, then set up server access logging on the S3 bucket to track user activity. Configure the static website hosting to return the required security headers.
• C.Use an Amazon S3 bucket configured for website hosting. Create an Amazon CloudFront distribution that refers to this S3 bucket, with the origin response event set to trigger a Lambda@Edge Node.js function to add in the security headers.
• D.set an Amazon S3 bucket configured for website hosting. Create an Amazon CloudFront distribution that refers to this S3 bucket. Set "Cache Based on Selected Request Headers" to
  "Whitelist," and add the security headers into the whitelist.

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