An engineer is asked to manage a large-scale data center and collect information from multiple Cisco NX-OS devices using Cisco NX-OS Data Management Engine model. Which technology should be used to accomplish this goal?
Suggested Answer:C🗳️
Data Collection ג€" Telemetry data is collected from the Data Management Engine (DME) database in branches of the object model specified using distinguished name (DN) paths. The data can be retrieved periodically (frequency-based) or only when a change occurs in any object on a specified path (event-based). You can use the NX-API to collect frequency-based data. Reference: https://www.cisco.com/c/en/us/td/docs/switches/datacenter/nexus9000/sw/93x/progammability/guide/b-cisco-nexus-9000-series-nx-os- programmability-guide-93x/b-cisco-nexus-9000-series-nx-os-programmability-guide-93x_chapter_0101001.html
NX YANG provides a standardized, structured, and integrated approach for managing and collecting data from Cisco NX-OS devices, making it more suitable for large-scale data center environments where consistency and ease of data management are crucial.
NX-API REST is versatile and powerful but does not offer the same level of structured data modeling and integration with the DME as YANG.
Cisco NX-API proprietary protocol for manipulating and reading managed objects (MOs) and their properties in the internal NX-OS data management engine (DME) model
A. NETCONF
Explanation:
To manage and collect information from multiple Cisco NX-OS devices in a large-scale data center, the most suitable technology is NETCONF (Network Configuration Protocol). Here's why:
NETCONF is a network management protocol designed for managing and configuring network devices. It is part of a broader set of protocols (including RESTCONF and YANG) that are used for network automation.
NETCONF allows you to interact with network devices in a programmatic way to collect information, configure settings, and monitor the state of devices.
It works in conjunction with YANG data models (which define the structure of the data being managed) and is ideal for managing large-scale networks such as those found in a data center.
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