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Cisco 300-910 Implementing DevOps Solutions and Practices

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Test your skill for Cisco Certified DevNet Specialist - DevOps certification Exam (VERIFIED QA)
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What you'll learn

  • Get Practice Test for Cisco Certified DevNet Professional certification Exam
  • Test yourself if you are ready for real exam
  • Tests a candidate’s knowledge of DevOps practices
  • Exam Preparation for Cisco Certified DevNet Specialist – DevOps certification
This course includes:
72 questions on-demand video
0 articles
0 downloadable resources
0 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • DevOps Skill

Description

Welcome to Exam Cisco 300-910 Implementing DevOps Solutions and Practices using Cisco Platforms Verified QA Tests 2026

Implementing DevOps Solutions and Practices Using Cisco Platforms (300-910 DEVOPS) is a 90-minute exam that tests a candidate’s knowledge of DevOps practices as it pertains to deployment automation that enables automated configuration, management, and scalability of cloud microservices and infrastructure processes on Cisco platforms.

Exam Topics :-

1.0 CI/CD Pipeline

  • 1.1 Describe characteristics and concepts of build /deploy tools such as Jenkins, GitLab CI/ CD, or Travis CI

  • 1.2 Identify the sequence, components, and integrations to implement a CI/CD pipeline for a given scenario

  • 1.3 Troubleshoot issues with a CI/CD pipeline such as code-based failures, pipeline issues, and tool incompatibility

  • 1.4 Identify tests to integrate into a CI/CD pipeline for a given scenario

  • 1.5 Identify release deployment strategy (canary, rollbacks, and blue/green) for a given scenario

  • 1.6 Diagnose code dependency management issues including API, tool chain, and libraries

  • 1.7 Interpret a GitLab CI/CD configuration file

2.0 Packaging and Delivery of Applications

  • 2.1 Identify the steps to containerize an application

  • 2.2 Identify steps to deploy multiple microservice applications

  • 2.3 Evaluate microservices and container architecture diagrams based on technical and business requirements (security, performance, stability, and cost)

  • 2.4 Identify safe handling practices for configuration items, application parameters, and secrets

  • 2.5 Construct a Docker file to address application specifications

  • 2.6 Describe the usage of golden images to deploy applications

3.0 Automating Infrastructure

  • 3.1 Describe how to integrate DevOps practices into an existing organization structure

  • 3.2 Describe the use of configuration management tools to automate infrastructure services such as Ansible and Terraform

  • 3.3 Construct an Ansible playbook to automate an application deployment of infrastructure services

  • 3.4 Construct a Terraform configuration to automate an application deployment of infrastructure services

  • 3.5 Describe the practice and benefits of Infrastructure as Code

  • 3.6 Design a pre-check validation of the network state in a CI/CD pipeline for a given scenario

  • 3.7 Design a pre-check validation of the application infrastructure in a CI/CD pipeline for a given scenario

  • 3.8 Describe the concepts of extending DevOps practices to the network for NetDevOps

  • 3.9 Identify the requirements such as memory, disk I/O, network, and CPU needed to scale the application or service

4.0 Cloud and Multicloud

  • 4.1 Describe the concepts and objects of Kubernetes

  • 4.2 Deploy applications to a Kubernetes cluster

  • 4.3 Utilize objects of Kubernetes to build a deployment to meet requirements

  • 4.4 Validate the success of an application deployment on Kubernetes

  • 4.5 Describe method and considerations to deploy an application to multiple environments such as multiple cloud providers, high availability configurations, disaster recovery configurations, and testing cloud portability

  • 4.6 Describe the process of tracking and projecting costs when consuming public cloud

  • 4.7 Describe benefits of infrastructure as code for repeatable public cloud consumption

  • 4.8 Compare cloud services strategies (build versus buy)

5.0 Logging, Monitoring, and Metrics

  • 5.1 Identify the elements of log and metric systems to facilitate application troubleshooting such as performance issues and streaming telemetry logs

  • 5.2 Implement a log collection and reporting system for applications

    • 5.2.a aggregate logs from multiple related applications

    • 5.2.b search capabilities

    • 5.2.c reporting capabilities

  • 5.3 Troubleshoot a distributed application using AppDyanmics with Application Performance Monitoring

  • 5.4 Describe the principles of chaos engineering

  • 5.5 Construct Python scripts that use APIs to accomplish these tasks

    • 5.5.a build a monitoring dashboard

    • 5.5.b notify Webex space

    • 5.5.c responding to alerts and outages

    • 5.5.d creating notifications

    • 5.5.e health check monitoring

    • 5.5.f opening and closing incidents

  • 5.6 Identify additional application requirements to provide visibility into application health and performance

  • 5.7 Describe Kubernetes capabilities related to logging, monitoring, and metrics

  • 5.8 Describe the integration of logging, monitoring and alerting in a CI/CD pipeline design

6.0 Security

  • 6.1 Identify methods to secure an application and infrastructure during production and testing in a CI/CD pipeline

  • 6.2 Identify methods to implement a secure software development life cycle

Who this course is for:

  • Network Engineer
  • IT Professional
  • DevOps Engineer
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