300-910 Implementing DevOps Solutions and Practices using Cisco Platforms (DEVOPS
300-910)
Exam Description
Implementing DevOps Solutions and Practices using Cisco Platforms v1.0 (DEVOPS
300-910) is a 90-minute exam associated with the DevNet Professional
Certification. This exam 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. The course, Implementing DevOps Solutions and Practices
using Cisco Platforms, helps candidates to prepare for this exam.
The following topics are general guidelines for the content likely to be
included on the exam. However, other related topics may also appear on any
specific delivery of the exam. To better reflect the contents of the exam and
for clarity purposes, the guidelines below may change at any time without
notice.
1.0 CI/CD Pipeline 20%
1.1 Describe characteristics and concepts of build /deploy tools such as
Jenkins, Drone, 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
2.0 Packaging and Delivery of Applications 15%
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 20%
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, Puppet, Terraform, and Chef
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 15%
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 Interpret the pipeline for continuous delivery of a Drone configuration file
4.5 Validate the success of an application deployment on Kubernetes
4.6 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
4.7 Describe the process of tracking and projecting costs when consuming public
cloud
4.8 Describe benefits of infrastructure as code for repeatable public cloud
consumption
4.9 Compare cloud services strategies (build versus buy)
5.0 Logging, Monitoring, and Metrics 20%
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 Teams 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 10%
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
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