Implementing Automation for Cisco Data Center Solutions (DCAUI)

Description
The Implementing Automation for Cisco Data Center Solutions (DCAUI) training shows you how to implement Cisco Data Center automated solutions, including programming concepts, orchestration, and automation tools. The goal of this training is to highlight the tools and benefits of leveraging programmability and automation in the Cisco-powered data center. Examined platforms include Cisco ACI (the controller-based Data Center environment), Cisco NX-OS on all Cisco Nexus platforms for device-centric automation, and Cisco UCS for Data Center compute. Their current ecosystem of APIs,
software development toolkits, and relevant workflows is inspected in detail together with open industry standards, tools, and APIs, such as Python, Ansible, Git, JSON/YAML, NETCONF/RESTCONF, and YANG.
This training prepares you for the Automating Cisco Data Center Solutions (300-635 DCAUTO) v1.1 exam. If passed, you earn the Cisco Certified DevNet Specialist – Data Center Automation and Programmability certification and satisfy the concentration exam requirements for the Cisco Certified Network Professional (CCNP) Data Center and Cisco Certified DevNet Professional certifications. The Introducing Automation for Cisco Solutions (CSAU) training is required prior to enrolling in the Implementing Automation for Cisco Data Center Solutions (DCAUI) training because it provides crucial foundational knowledge essential to success. This training also earns you 24 Continuing Education (CE) credits toward recertification.

How you’ll benefit
This training will help you:
• Learn the tools and the benefits of leveraging programmability and automation in the Cisco-powered Data Center
• Examine platforms include Cisco ACI (the controller-based Data Center environment), Cisco NX-OS on all Cisco Nexus platforms for device-centric automation, and Cisco UCS for Data Center compute
• Inspect the current ecosystem of APIs, software development toolkits, and relevant workflows in detail together with open industry standards, tools, and APIs, such as Python, Ansible, Git, JSON/YAML, NETCONF/RESTCONF, and YANG
• Prepare for the 300-635 DCAUTO v1.1 exam
• Earn 24 CE credits toward recertification

Technology areas
• Data Center
• Network Automation

Objectives

• Review Cisco ACI fundamental concepts, GUI workflows, and create the case for implementing automation
• Introduce the Cisco ACI REST API, the tools already available on the Cisco APIC, and understand basic API interaction using Postman
• Understand the functionality provided by the Python ACI libraries and write scripts that apply configuration and verify state on the Cisco ACI fabric
• Understand Cisco ACI Ansible modules, build playbooks that apply Infrastructure-as-Code concepts to Cisco ACI tenant configuration, and generate a health report using Ansible
• Understand Cisco ACI Apps Center integration and the benefits of integrating Kubernetes infrastructure with Cisco ACI
• Understand the API types and capabilities available on Cisco Nexus product family
• Understand Day 0 operations and how ZTP, POAP, and iPXE fulfill these goals with their respective tooling
• Understand functionality provided by the on-box tooling on the Cisco Nexus series switches and implement simple solutions to improve daily operations
• Use Python and Ansible to leverage the NX-API to implement and verify configuration state using modern workflows
• Understand the paradigm shift of Model-Driven Telemetry and explore a fully set up pipeline for data collection and analysis
• Understand the Cisco UCS developer tools and implement management workflows leveraging Cisco UCS APIs, Python, and Ansible modules
• Review Cisco NDFC product capabilities and understand how its API can be leveraged to automate the Cisco Data Center
• Understand the advantages of using Cisco Intersight and how to implement automation tasks using its REST APIs via Python and Ansible
• Describe Terraform plans for Cisco ACI deployments