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Q13Using APIs

An application is being developed to collect and display streaming telemetry data. Match the stack elements to their corresponding functions. <DragDrop items={["IOS-XE Device: IOS-XE Device","Elasticsearch: Elasticsearch","Kibana: Kibana","Python Application: Python Application"]} slots={[{"answer":"Kibana: Kibana","id":"visualization_platform","label":"visualization platform"},{"answer":"Python Application: Python Application","id":"data_collector","label":"data collector"},{"answer":"IOS-XE Device: IOS-XE Device","id":"data_generator","label":"data generator"},{"answer":"Elasticsearch: Elasticsearch","id":"datastore","label":"datastore"}]} explanation={"IOS XE model-driven telemetry sends YANG-modeled data to a third-party collector or receiver. A Python application can act as that collector, Elasticsearch is the indexed document datastore, and Kibana provides the interface for exploring and visualizing Elasticsearch data.\n\n**Learn more:** [Cisco IOS XE telemetry](https://developer.cisco.com/iosxe/) · [The Elastic Stack](https://www.elastic.co/guide/en/kibana/current/index.html/)"} reuse={false} />

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visualization platform: kibana data collector: python application data generator: ios-xe device datastore: elasticsearch
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I think the best answer is: virtualization platform: ios-xe device (IOx - Container) data collector: kibana (will collect data from elasticsearch to show them as dashboards) data generator: python application (will generate data from the device to send to a remote or local repo) datastore: elasticsearch (will to store the generated data from the data generator) https://aws.amazon.com/opensearch-service/the-elk-stack/
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Given answer is correct visualization platform: kibana data collector: python application data generator: ios-xe device datastore: elasticsearch
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what happens is that it is not "virtualization" it is "visualization"
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Yes, correct answer: visualization platform: kibana data collector: python application data generator: ios-xe device datastore: elasticsearch Elasticsearch is a distributed search and analytics engine for all kinds of data. Kibana lets you visualize your Elasticsearch data. You can do anything from tracking query load to understanding how requests flow through your apps.