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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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 Discuss Correct / Improve  aws api gateway aws lambda aws serverless computing amazon cloud serverless computing amazon lambda | ||||
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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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| 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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| 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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| Discuss Correct / Improve aws lambda aws serverless computing amazon cloud serverless computing amazon lambda aws ec2 aws computing amazon cloud computing amazon ec2 | ||||
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| Ans. Api Gateway Alexa CloudFront CloudWatch Code Commit Kinesis S3 SNS | ||||
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| Discuss Correct / Improve aws lambda aws serverless computing amazon cloud serverless computing amazon lambda trigger | ||||
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| Ans. LDAP servers are typically used in J2EE applications to authenticate and authorise users. LDAP servers are hierarchical and are optimized for read access, so likely to be faster than database in providing read access. | ||||
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Discuss Correct / Improve java j2ee ldap servers authentication authorization architecture technical lead technical architect production support  Asked in 1 Companies | ||||
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| Ans. Http is connection less by default. header informs hosts to keep the connection alive so that the same connection can be reused for multiple communication. | ||||
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| Discuss Correct / Improve java http http-alive client server communication | ||||
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| Ans. Load Balancer | ||||
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| Discuss Correct / Improve server server hardware | ||||
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| Ans. Server Configuration files | ||||
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| Discuss Correct / Improve ear deployment servers java | ||||
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| Ans. We are using cluster of Web servers and Application servers. Load Balancer is used to manage the load between them. Down the layer we have middleware server and then DB server to access database. | ||||
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Discuss Correct / Improve architecture production support java servers application support Asked in 7 Companies  frequent | ||||
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| Ans. We use SAR command for that purpose. We also have GUI system monitoring tool to keep real time check of requests, load and memory usage. | ||||
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| Discuss Correct / Improve server monitoring production support servers website traffic system monitoring sar application support | ||||
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| Ans. It is the ability to deploy changes on the fly without need to first build , deploy and then restart. All these functions happens on the fly as soon as the changes are made to the code. | ||||
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| Discuss Correct / Improve hot deployment deployment container application server production support | ||||
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| Ans. Cold Deployment is a conventional deployment mechanism that follows the multi step process to deploy code changes to the running app i.e Build -> Deploy - Restart. whereas Hot Deployment is deployment changes on the fly without need to first build , deploy and then restart. All these functions happens on the fly as soon as the changes are made to the code. | ||||
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| Discuss Correct / Improve Hot deployment cold deployment application server production support | ||||
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| Ans. We are using Apache 2.3 and Tomcat 5.6 | ||||
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Discuss Correct / Improve web server application server server  Basic frequent | ||||
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| Ans. We involve DBA and try to solve it through them. By the time they are solving it , we keep the stake holders informed regarding the progress. | ||||
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| Discuss Correct / Improve database database server production support | ||||
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| Ans. By specifying XSiteScriptingProtection within wc-server.xml. Prohibited characters and attributes are specified within XSiteScriptingProtection to protect the application from any XSS attach. | ||||
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| Discuss Correct / Improve Cross site scripting XSS attack XSS XSiteScriptingProtection wc-server.xml | ||||
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| Ans. A sandbox is a testing environment that isolates untested code changes and outright experimentation from the production environment or repository. It's an environment that's usually reserved for integration testing with external clients and modules with mock code so as to enable some sort of integration testing before the actual project is deployed. | ||||
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| Discuss Correct / Improve server sandbox | ||||
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| Ans. Load Balancing is a provision to improve performance by reducing load on a single machine / server. Traffic or load is distributed among different machines and hence resulting in better performance / response time by leveraging more resources. Failover is a provision to achieve better availability by switching to a backup server in case of failure. Load Balancing aims as improving performance whereas failover aims at improving availability. We can achieve both together by using a Load Balancing system which will isolate an instance in case of it's failure. | ||||
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| Discuss Correct / Improve load balancing failover load balancing vs failover production support | ||||
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| Ans. It's a configuration for auto scaling environment that specify the attributes / conditions for scaling instances up and down. For example - We may like environment to scale up when the number of requests / sec increases a particular threshold and scale down when it decreases below a threshold. | ||||
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| Discuss Correct / Improve AWS Amazon AWS Amazon EC2 Elastic Beanstalk Auto Scaling Scaling Trigger production support | ||||
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| Ans. Manual scaling is the process of scaling instances up and down in a an enviornment manually by observing the scaling trigger whereas Auto scaling is the process wherein a Trigger condition specified as a scaling trigger will trigger scaling up and down of instances. for example - If an organization has a policy of scaling up if requests / sec / instance exceeds 10000, Operations team will have to manually monitor the metric and they can request scaling up and down as the need arise. Manual scaling offers flexibility as team can scale on the basis of combination of factors and can take decision on flyby requires continuous monitoring. The same trigger can be fed as triggering policy to the environment and can be taken care by the system. This requires availability of such triggering policy within the environment configuration but as it's automatically handled, requires no supervision. | ||||
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| Discuss Correct / Improve Scaling manual scaling auto scaling manual vs auto scaling production support | ||||
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| This question was recently asked at 'Accolite'.This question is still unanswered. Can you please provide an answer. | ||||
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| Discuss Correct / Improve omca Asked in 1 Companies | ||||
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| Ans. Primary benefits of cloud computing include – Data backup and storage Reduced costs of managing and maintaining IT systems Powerful server capability and scalability Better productivity and collaboration efficiency Access to automatic updates | ||||
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| Discuss Correct / Improve production support | ||||
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| This question is still unanswered. Can you please provide an answer. | ||||
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| Discuss Correct / Improve cloud computing | ||||
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| Ans. A Virtualization is software that virtualizes your hardware into multiple machines while Cloud computing is the combination of multiple hardware devices. In Virtualization, a user gets dedicated hardware while in Cloud computing multiple hardware devices provide one login environment for the user. | ||||
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| Discuss Correct / Improve cloud computing virtualization production support Google Cloud Platform (GCP) | ||||
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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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| Discuss Correct / Improve amazon lambda aws aws lambda aws serverless computing amazon cloud serverless computing amazon lambda Asked in 1 Companies | ||||
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| Ans. We have to complement it to AWS Gateway API. | ||||
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| Discuss Correct / Improve AWS Lambda AWS Serverless AWS Gateway | ||||
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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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| Discuss Correct / Improve aws aws lambda aws serverless computing amazon cloud serverless computing amazon lambda aws ec2 aws computing amazon cloud computing amazon ec2 | ||||
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| Ans. A program that uses HTTP for serving files that create web pages for users in response to their requests that are sent by the HTTP clients of their computer is called as a web server. Web - Server Types Apache HTTP Server by the Apache Software Foundation Internet Information Service from Microsoft Sun Java System Web Server Jigsaw Server. | ||||
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| Discuss Correct / Improve production support Asked in 1 Companies | ||||
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| This question is still unanswered. Can you please provide an answer. | ||||
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| Discuss Correct / Improve aws lambda aws serverless computing amazon cloud serverless computing amazon lambda | ||||
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| Ans. We can provision more instances for that particular time slot. | ||||
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| Discuss Correct / Improve aws amazon web service server production support Asked in 1 Companies | ||||
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