A developer is troubleshooting an application in an integration environment. In the application, an Amazon Simple Queue Service (Amazon SQS) queue consumes messages and then an AWS Lambda function processes the messages. The Lambda function transforms the messages and makes an API call to a third-party service.
There has been an increase in application usage. The third-party API frequently returns an HTTP 429 Too Many Requests error message. The error message prevents a significant number of messages from being processed successfully.
How can the developer resolve this issue?

• A.Increase the SQS event source's batch size setting.
• B.Configure provisioned concurrency for the Lambda function based on the third-party API's documented rate limits.
• C.Increase the retry attempts and maximum event age in the Lambda function's asynchronous configuration.
• D.Configure maximum concurrency on the SQS event source based on the third-party service's documented rate limits.

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A developer at a company needs to create a small application mat makes the same API call once each flay at a designated time. The company does not have infrastructure in the AWS Cloud yet, but the company wants to implement this functionality on AWS.
Which solution meets these requirements in the MOST operationally efficient manner?

• A.Use a Kubermetes cron job that runs on Amazon Elastic Kubemetes Sen/ice (Amazon EKS)
• B.Use an Amazon Linux crontab scheduled job that runs on Amazon EC2
• C.Use an AWS Lambda function that is invoked by an Amazon EventBridge scheduled event.
• D.Use an AWS Batch job that is submitted to an AWS Batch job queue.

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A developer is troubleshooting an Amazon API Gateway API Clients are receiving HTTP 400 response errors when the clients try to access an endpoint of the API.
How can the developer determine the cause of these errors?

• A.Create an Amazon Kinesis Data Firehose delivery stream to receive API call logs from API Gateway. Configure Amazon CloudWatch Logs as the delivery stream's destination.
• B.Turn on AWS CloudTrail Insights and create a trail Specify the Amazon Resource Name (ARN) of the trail for the stage of the API.
• C.Turn on AWS X-Ray for the API stage Create an Amazon CtoudWalch Logs log group Specify the Amazon Resource Name (ARN) of the log group for the API stage.
• D.Turn on execution logging and access logging in Amazon CloudWatch Logs for the API stage. Create a CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.

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A developer has written a distributed application that uses micro services. The microservices are running on Amazon EC2 instances. Because of message volume, the developer is unable to match log output from each microservice to a specific transaction. The developer needs to analyze the message flow to debug the application.
Which combination of steps should the developer take to meet this requirement? (Select TWO.)

• A.Enable AWS X-Ray. Configure Amazon CloudWatch to push logs to X-Ray.
• B.Configure an interface VPC endpoint to allow traffic to reach the global AWS X-Ray daemon on TCP port 2000.
• C.Set up Amazon CloudWatch metric streams to collect streaming data from the microservices.
• D.Add the AWS X-Ray software development kit (SDK) to the microservices. Use X-Ray to trace requests that each microservice makes.
• E.Download the AWS X-Ray daemon. Install the daemon on an EC2 instance. Ensure that the EC2 instance allows UDP traffic on port 2000.

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A developer is planning to migrate on-premises company data to Amazon S3. The data must be encrypted, and the encryption Keys must support automate annual rotation. The company must use AWS Key Management Service (AWS KMS) to encrypt the data.
When type of keys should the developer use to meet these requirements?

• A.Amazon S3 managed keys
• B.Symmetric customer managed keys with key material that is generated by AWS
• C.Asymmetric customer managed keys with key material that generated by AWS
• D.Symmetric customer managed keys with imported key material

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