Question 4How can the AWS CLI help when working with Lambda functions?1 pointProvides templatesEnables multi-region deploymentsAutomates load testingSimplifies invocation and inspection
Question
Question 4How can the AWS CLI help when working with Lambda functions?1 pointProvides templatesEnables multi-region deploymentsAutomates load testingSimplifies invocation and inspection
Solution
The AWS CLI (Command Line Interface) is a unified tool that helps you manage and interact with AWS services from the command line. When working with Lambda functions, the AWS CLI can be particularly helpful in the following ways:
- Simplifies invocation and inspection: AWS CLI allows you to easily invoke Lambda functions and inspect the results directly from the command line. This can be done using the
Similar Questions
explain AWS Lambda
You are refactoring an Amazon EC2 based application to use several AWS Lambda functions. During testing you realize some of the test events are failing. However, you are unsure which functions are failing and why.What services can you use to identify and troubleshoot the functions that are failing?Use the Amazon CloudWatch Lambda Insights Multi-Function dashboard to identify and troubleshoot the failing functions.Use Amazon CloudWatch metrics to identify the failing functions and CloudWatch Logs to troubleshoot the function output.Use AWS X-Ray to analyze the Amazon CloudWatch metrics and logs to identify and troubleshoot the failing functions.Use AWS CloudTrail metrics to identify the failing functions and CloudTrail logs to analyze the function output.
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
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
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.
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