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NEW QUESTION 46 A company uses AWS CloudFormation to deploy an application that uses an Amazon API Gateway REST API with AWS Lambda function integration. The application uses Amazon DynamoDB for data persistence. The application has three stages, development, testing, and production. Each stage uses its own DynamoDB table. The company has encountered unexpected issues when promoting changes to the production stage. The changes were successful in the development and testing stages. A developer needs to route 20% of the traffic to the new production stage API with the next production release. The developer needs to route the remaining 80% of the traffic to the existing production stage. The solution must minimize the number of errors that any single customer experiences. Which approach should the developer take to meet these requirements?

• A. Update 20% of the planned changes to the production stage. Deploy the new production stage. Monitor the results. Repeat this process five times to test all planned changes
• B. Update the Amazon Route 53 DNS record entry for the production stage API to use a weighted routing policy Set the weight to a value of 80. Add a second record for the production domain name Change the second routing policy to a weighted routing policy. Set the weight of the second policy to a value of 20. Change the alias of the second policy to use the testing stage API.
• C. Configure canary settings for the production stage API. Change the percentage of traffic directed to canary deployment to 20%. Make the planned updates to the production stage Deploy the changes.
• D. Deploy an Application Load Balancer (ALB) in front of the REST API Change the production API Amazon Route 53 record to point traffic to the ALB Register the production and testing stages as targets of the ALB with weights of 80% and 20%. respectively.

Answer: B   NEW QUESTION 47 A company wants to migrate its web application to AWS and leverage Auto Scaling to handle pear workloads. The Solutions Architect determined that the best metric for an Auto Scaling event is the number of concurrent users. Based on this information, what should the Developer use to autoscale based on concurrent users?

• A. A Custom Amazon CloudWatch metric for concurrent users.
• B. An Amazon SNS topic to be triggered when a concurrent user threshold is met
• C. An Amazon Cloudwatch Networkin metric
• D. Amazon CloudFront to leverage AWS Edge Locations

Answer: A   NEW QUESTION 48 A developer used the BalehWnteltern API operation to insert items in an Amazon DynamoDB table OynamoDB returned a few items as unprocessed due to throttling The developer decides to retry the records on the unprocessed items What should the developer do to reprocess the records with the LEAST number of API calls'?

• A. Delete the items that were successfully processed, and reissue a new BatchWriteltem operation
• B. Delay the BatchWriteltem operation by using progressively longer wait times between retries, or exponential backoff
• C. Perform the Putltem operation on the unprocessed items individually instead of using the BatchWriteltem operation
• D. Retry the BatchWriteltem operation immediately

Answer: A   NEW QUESTION 49 An application writes items to an Amazon DynamoDB table. As the application scales to thousands of instances, calls to the DynamoDB API generate occasional ThrottlingException errors. The application is coded in a language incompatible with the AWS SDK. How should the error be handled?

• A. Add exponential backoff to the application logic
• B. Pass API calls through Amazon API Gateway
• C. Send the items to DynamoDB through Amazon Kinesis Data Firehose
• D. Use Amazon SQS as an API message bus

Answer: A Explanation: Explanation https://aws.amazon.com/premiumsupport/knowledge-center/throttled-ddb/ SDKs automatically add exponential backoff. If not using the AWS SDKs, add your own backoff logic to the application code. https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.Errors.html#Programming.   NEW QUESTION 50 ......