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Amazon Web Services (AWS) - Interview Questions and Answers for 'Serverless' - 21 question(s) found - Order By Newest | ||||
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Ans. Warm up time for certain technologies like Java ( JVM Warmup ) Performance Size of Deployable ( Bigger size packaging should go in S3 ) | ||||
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Ans. In AWS Lambda we can run a function in synchronous or asynchronous mode. In synchronous mode, if AWS Lambda function fails, then it will just give an exception to the calling application. In asynchronous mode, if AWS Lambda function fails then it will retry the same function at least 3 times.If AWS Lambda is running in response to an event in Amazon DynamoDB or Amazon Kinesis, then the event will be retried till the Lambda function succeeds or the data expires. In DynamoDB or Kinesis, AWS maintains data for at least 24 hours. | ||||
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Ans. We can create API gateway and give the name of lambda function in order to be linked with lambda function, deploy the API and whenever request will be made from API it will directly be linked to lambda function to perform further process. | ||||
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Ans. Just like people , AWS resources too have execution roles or permissions. Seems like in such a situation Lambda function may not have sufficient privileges to perform operations on S3. For example - The execution role of Lambda may just have read permissions on S3 and we may be trying to perform PutObject operation. | ||||
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Like Discuss Correct / Improve  aws s3  aws storage  amazon cloud storage  amazon s3  aws lambda  aws serverless computing  amazon cloud serverless computing  amazon lambda | ||||
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Ans. EC2 is IAAS Elastic Beanstalk is PAAS EKS is Containerization service Lambda is Serverless | ||||
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Like Discuss Correct / Improve  IAAS   PAAS   Containerization  Serverless | ||||
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Ans. Advantages - Much Cheaper Continuous scaling Higher level and Serverless Disadvantages - Warm up time Limited flexibility in terms of technologies Limited control | ||||
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Ans. Api Gateway Alexa CloudFront CloudWatch Code Commit Kinesis S3 SNS | ||||
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Ans. AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code. It was introduced in November 2014. | ||||
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Ans. We have to complement it to AWS Gateway API. | ||||
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Ans. You can have reserved capacity with AWS Lambda. This guarantees that this number of concurrent Lambdas are always available for that function. | ||||
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This question is still unanswered. Can you please provide an answer. | ||||
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Ans. We can schedule that through CloudWatch. | ||||
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Ans. Quick Turnaround Time and Quick Time to Market No Worry about the infrastructure , low maintenance Cost only for use , not for reservation. Multiple small applications instead of one big. Results in better uptime and mainetnability. | ||||
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Like Discuss Correct / Improve  serverless  server vs serverless | ||||
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Ans. Following are key differences between containers and serverless: Supported host environments: Containers can run on any modern Linux server, as well as certain versions of Windows. In contrast, serverless runs on specific host platforms, most of which are based in the public cloud (like AWS Lambda or Azure Functions). Self-servicing ability. For the reasons just noted, in most cases, serverless functions require you to use a public cloud. (There are on-premises serverless frameworks, like Fn, but these are not yet widely used.) With containers, you can set up your own on-premises host environment, or use a public cloud service like ECS. Cost. Because serverless environments are hosted in the cloud, you have to pay to use them. In contrast, you can set up a container environment yourself using open source code for free (although you’ll still have management costs, of course). Supported languages. You can containerize an application written in any type of language as long as the host server supports the language. Serverless frameworks are different; they support a limited number of languages. The details of supported serverless language vary from serverless platform to platform. Statefulness. Most serverless platforms are designed to support stateless workloads. (Some serverless providers offer limited support for stateful services; cf. Durable Functions on Azure.) Although you can connect to external storage services (like S3 on AWS) from within serverless platforms, the functions themselves cannot be stateful. Containers present their own persistent storage challenges, but creating stateful containerized apps is certainly possible. Availability. Serverless functions are designed to run for a short period—usually, a few hundred seconds—before they shut down. Containers can run for as long as you need. | ||||
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Like Discuss Correct / Improve  Amazon Web Service (AWS)  serverless  containers  production support | ||||
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Ans. No of requests, computation duration, assigned RAM | ||||
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Ans. If we would like a program to be executed if someone commits code to the repository. | ||||
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Ans. Because Vendors need not worry about provisioning , managing and maintaining the servers and it's intrinsically taken care of by AWS. | ||||
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Ans. We are using Yaml for initializing configuration and Environment Variables for overriding them. | ||||
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Ans. Possible Answer - Env variable or use parameter store | ||||
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Ans. We can use AWS Config | ||||
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Ans. It's Serverless and PAAS ( Platform as a service ) | ||||
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