A social media analytics company wants to migrate to a serverless stack on AWS. Which of the following scenarios can be handled by AWS Lambda? (Select two)Question 13AnswerA.Creating Amazon Elastic Compute Cloud (Amazon EC2) instancesB.Generating revenue reports on demandC.Executing extract, transform, and load (ETL) jobsD.Automatically provisioning Amazon WorkSpaces instancesE.Running data analysis across EC2 instances

A company will be modernizing their application which is currently running on Amazon Elastic Cloud Compute (EC2) instances. They have experience with scaling this infrastructure using Amazon EC2 Autoscaling. They want to move to serverless infrastructure consisting of an Amazon API Gateway that triggers Lambda functions. They are consulting you about scaling this new infrastructure.What should the company consider in order to make sure the serverless infrastructure scales to their needs?Throttle Lambda functions by configuring reserved concurrency, sending the excess traffic to Dead Letter Queues (DLQ) that will be handled when the request volume reduces.Look at service limits for Amazon API Gateway and Lambda functions used in order to identify potential bottlenecks and balance performance requirements, costs, and business impactEnable Auto Scaling Groups for AWS Lambda to ensure that enough Lambda functions are ready to handle the incoming requestsDo nothing. API Gateway and AWS Lambda are managed services that have built-in horizontal scaling, security, and high availability to handle unlimited amount of requests

True or False: AWS Lambda is a compute service that runs code without the need to provision or manage servers. Lambda runs code on a high-availability compute infrastructure. It also performs all the administration of compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, and logging. Lambda can run code for virtually any type of application or backend service.1 pointTrueFalse

Which AWS service is serverless?Question 21Answera.Amazon EMRb.AWS Lambdac.Amazon EC2d.AWS Elastic Beanstalk

Your company has a serverless application with Amazon API Gateway and AWS Lambda having both read, as well as, write APIs. The developers make frequent changes to the Lambda code and run load tests on the application after every change. The regular load testing has resulted in a spike in the cost.What are the best practices and cost savings options available on their Lambda compute usage? (Select TWO)Changing Lambda code does not necessarily require load testing. Unit and integration tests are sufficient.User reserve concurrency for the lambda functions and set the concurrency to a lower value.Use compute savings plan for lambda (discounted Savings Plans rates of up to 17% for a 1 or 3 year term, up to the commitment level.)Use Amazon EC2 instead of lambda.Use caching on Amazon API Gateway.

A social media company wants to have the MOST cost-optimal strategy for deploying Amazon Elastic Compute Cloud (Amazon EC2) instances. As a Cloud Practitioner, which of the following options would you recommend? (Select two)Question 9AnswerA.Use Reserved Instances (RI) to run applications with a predictable usage over the next one yearB.Use On-Demand Instances for ad-hoc jobs that can be interruptedC.Use Reserved Instances (RI) for ad-hoc jobs that can be interruptedD.Use On-Demand Instances to run applications with a predictable usage over the next one yearE.Use Spot Instances for ad-hoc jobs that can be interrupted