![]() Amazon DynamoDB with provisioned write throughput up to the anticipated peak write throughpuĮxplanation: Amazon Simple Queue Service (Amazon SQS) offers a reliable, highly scalable hosted queue for storing messages as they travel between computers. Amazon EIastiCache to store the writes until the writes are committed to the database. Amazon Simple Queue Service (SOS) for capturing the writes and draining the queue to write to the database. Amazon RDS with provisioned IOPS up to the anticipated peak write throughput. To be certain that you do not drop any writes to a database hosted on AWS. You anticipate a large and undetermined amount of traffic that will create many database writes. Your company plans to host a large donation website on Amazon Web Services (AWS). Increasing resources results in a proportional increase in performance A scalable service is capable of handling heterogeneityĪ scalable service is operationally efficient A scalable service is resilientĪ scalable service should become more cost effective when it grows (Cost per unit reduces as the number of units increases) You will have to identify the monolithic components and bottlenecks in your architecture, identify the areas where you cannot leverage the on-demand provisioning capabilities in your architecture, and work to refactor your application, in order to leverage the scalable infrastructure and take advantage of the cloud.Ĭharacteristics of a truly scalable application: However, you cannot leverage all that scalability in infrastructure if your architecture is not scalable. The cloud is designed to provide conceptually infinite scalability. Increasing resources results in a proportional increase in performancĮxplanation: In AWS it is critical to build a scalable architecture in order to take advantage of a scalable infrastructure. ![]() A scalable architecture won't be cost effective as it grows. A scalable service is capable of handling heterogeneity. Which of the following statements is incorrect in reference to scalable architecture? In the most recent company meeting, your CEO focused on the fact that everyone in the organization needs to make sure that all of the infrastructure that is built is truly scalable. ![]() TERMINATED_W|TH_ERRORS - The cluster was shut down with errors. TERMINATED - The cluster was shut down without error. TERMINATING - The cluster is in the process of shutting down. WAITING - The cluster is currently active, but has no steps to run. RUNNING - A step for the cluster is currently being run. BOOTSTRAPPING - Bootstrap actions are being executed on the cluster. STARTING - The cluster provisions, starts, and configures EC2 instances. The different cluster states of an Amazon EMR cluster are listed below. Every cluster has a unique identifier that starts with "j-". Which of the below is not an Amazon EMR cluster state?Įxplanation: Amazon Elastic Map Reduce (EMR) is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data.Īmazon EMR historically referred to an Amazon EMR cluster (and all processing steps assigned to it) as a "c|uster". You have just finshed setting up an advertisement server in which one of the obvious choices for a service was Amazon Elastic Map Reduce( EMR) and are now troubleshooting some weird cluster states that you are seeing.
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