A company runs an application on AWS. The application consists of a static website that is hosted on Amazon S3. The application includes Amazon API Gateway APIs that invoke AWS Lambda functions. During a period of high traffic on the application, application users reported that the application was slow at irregular intervals. There were no failed requests.
A developer needs to find the slow executions across all the Lambda functions.
Which solution will meet these requirements?

• A.Enable AWS X-Ray for all the Lambda functions. Configure an X-Ray insight on a new group that includes all the Lambda functions. After the X-Ray insight has finished processing, review the X- Ray logs.
• B.Enable AWS CloudTrail Insights on the account where the Lambda functions are running. After CloudTrail Insights has finished processing, review CloudTrail Insights to find the anomalous functions.
• C.Perform a query across all the Lambda function log groups by using Amazon CloudWatch Logs Insights. Filter on type of report and sort descending by Lambda function execution duration.
• D.Set up AWS Glue to crawl through the logs in Amazon CloudWatch Logs for the Lambda functions. Configure an AWS Glue job to transform the logs into a structured format and to output the logs into Amazon S3. Use the Amazon CloudWatch dashboard to visualize the slowest functions based on the duration.

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A developer has created an AWS Lambda function that consumes messages from an Amazon SQS standard queue. The developer notices that the Lambda function processes some messages multiple times.
How should developer resolve this issue MOST cost-effectively?

• A.Change the SQS standard queue to an SQS FIFO queue by using the SQS message deduplication ID.
• B.Set up a dead-letter queue.
• C.Set the maximum concurrency limit of the Lambda function to 1.
• D.Change the message processing to use Amazon Kinesis Data Streams instead of Amazon SQS.

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A developer needs to migrate an online retail application to AWS to handle an anticipated increase in traffic. The application currently runs on two servers: one server for the web application and another server for the database. The web server renders webpages and manages session state in memory. The database server hosts a MySQL database that contains order details. When traffic to the application is heavy, the memory usage for the web server approaches 100% and the application slows down considerably.
The developer has found that most of the memory increase and performance decrease is related to the load of managing additional user sessions. For the web server migration, the developer will use Amazon EC2 instances with an Auto Scaling group behind an Application Load Balancer.
Which additional set of changes should the developer make to the application to improve the application's performance?

• A.Use an EC2 instance to host the MySQL database. Store the session data and the application data in the MySQL database.
• B.Use Amazon ElastiCache for Memcached to store and manage the session data and the application data.
• C.Use the EC2 instance store to manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.
• D.Use Amazon ElastiCache for Memcached to store and manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.

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A developer has created an AWS Lambda function to provide notification through Amazon Simple Notification Service (Amazon SNS) whenever a file is uploaded to Amazon S3 that is larger than 50 MB. The developer has deployed and tested the Lambda function by using the CLI. However, when the event notification is added to the S3 bucket and a 3.000 MB file is uploaded, the Lambda function does not launch.
Which of the following Is a possible reason for the Lambda function's inability to launch?

• A.The S3 event notification does not activate for files that are larger than 1.000 MB.
• B.The resource-based policy for the Lambda function does not have the required permissions to be invoked by Amazon S3.
• C.The S3 bucket needs to be made public.
• D.Lambda functions cannot be invoked directly from an S3 event.

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A company wants to automate part of its deployment process. A developer needs to automate the process of checking for and deleting unused resources that supported previously deployed stacks but that are no longer used.
The company has a central application that uses the AWS Cloud Development Kit (AWS CDK) to manage all deployment stacks. The stacks are spread out across multiple accounts. The developer's solution must integrate as seamlessly as possible within the current deployment process.
Which solution will meet these requirements with the LEAST amount of configuration?

• A.In the central AWS CDK application, write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an AWS CloudPormation template from a JSON file. Use the template to attach the function code to an AWS Lambda function and lo invoke the Lambda function when the deployment slack runs.
• B.In the central AWS CDK application. write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an AWS CDK custom resource Use the custom resource to attach the function code to an AWS Lambda function and to invoke the Lambda function when the deployment stack runs.
• C.In the central AWS CDK, write a handler function m the code that uses AWS SDK calls to check for and delete unused resources. Create an API in AWS Amplify Use the API to attach the function code to an AWS Lambda function and to invoke the Lambda function when the deployment stack runs.
• D.In the AWS Lambda console write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an AWS CDK custom resource. Use the custom resource to import the Lambda function into the stack and to Invoke the Lambda function when the deployment stack runs.

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