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Cisco 300-910 : Implementing DevOps Solutions and Practices using Cisco Platforms (DEVOPS) Exam

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Test Number : 300-910
Test Name : Implementing DevOps Solutions and Practices using Cisco Platforms (DEVOPS)
Vendor Name : Cisco
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300-910 DEVOPS
Certifications: Cisco Certified DevNet Professional, Cisco Certified DevNet Specialist - DevOps
Duration: 90 minutes

Exam Description
The Implementing DevOps Solutions and Practices Using Cisco Platforms v1.0 (DEVOPS 300-910) test is a 90-minute test associated with the Cisco Certified DevNet Professional and Cisco Certified DevNet Specialist - DevOps certifications. This test 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 prepare for this exam.

20% 1.0 CI/CD Pipeline
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
15% 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
20% 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, 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
15% 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 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)
20% 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 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
10% 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



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Cisco DevOps Practice Test

The apply of DevOps | 300-910 boot camp and Latest Questions

application development is each a science and an paintings. The science includes models, strategies, and strategies that have been proven to be effective and proper. The art is weaving together these strategies for a given condition, a given issue, a given set of programmers, and a given client, to carry on the challenge’s guarantees. accordingly the application business has advanced with twin personas – the formal models facet and the exact practices side. There are those that adhere strictly and firmly to formal fashions, while most are looking to discover a version that matches their situation and their wants.

DevOps is a brand new model of constructing and implementing software, notwithstanding many will argue it's a “approach” more than a mannequin. The DevOps strategy has grown in recognition in fresh years, building on the Agile strategy, which is the dominant formulation of constructing application. DevOps has grown in recognition because of the big growth in computing needs, which has arisen from the use of billions of cell phones, and their dependence on Cloud-primarily based functions. further, there is now massive competitors for apps on a variety of systems, and application developers consider compelled to roll out purposes, their enhancements and features on a common and continual groundwork.

The question they tackle is how intently do enterprises and application engineers comply with the formal mannequin of DevOps and the way a long way do they adapt and alter the mannequin. They interviewed application developers, DevOps engineers and product managers to understand the business practices related to DevOps. Their findings are according to specifics of the procedure, which they outline below.

continuous construction

We discovered dissimilar interpretations for this term. Some accept as true with continual development as an umbrella time period to define the full utility building cycle which contains integration, deployment, and trying out. Others don’t trust this as part of DevOps in any respect, but as a part of the Agile strategy, for the reason that they relate it to planning and development.

continuous building of software turned into mostly avoided within the previous, Waterfall mannequin of software development, the place the scope of the project became described early within the method, and frozen after that. The Agile method changed this via asserting that the velocity of construction, which is the price at which building will proceed, is fastened, but the scope continues to be flexible. This does result in scope creep the place the limits of the assignment, or the factor at which it's considered complete, are unclear. this is welcome in DevOps, the place the best constraint is that scope isn't changed in the core of a building cycle, a dash, however after it's over.

continual Integration

continual integration (CI) is the process that aligns the code and build phases within the DevOps pipeline. here is the technique where new code is merged with the current constitution, and engineers make certain that every little thing is working fine. The builders who make well-known adjustments to the code, update the identical on the shared relevant code repository. The repository begins with a master department, which is a protracted-term stable branch. For each new characteristic, a new department is created, and the developer always (day by day) commits his code to this department. After the construction for a feature is comprehensive, a pull request is created to the unencumber department. in a similar way, a pull request is created to the grasp department and the code is merged.

we now have considered slight variations to those practices across organizations. from time to time the developers keep a fork, or copy, of the central repository. This limits the merge considerations to their own fork and isolates the important repository from the chance of corruption. from time to time, the brand new branches don’t branch out from the feature department but from the unencumber or grasp department.

Small and mid-dimension companies often use open websites like GitHub for their code repository, while bigger firms use Bitbucket as their code repository, which isn't free. Bitbucket is more flexible and the continual integration and delivery get tied up with the source code from the delivery. this protects setup time and less management is required for repositories and servers. In contrast, for GitHub, every thing needs to be setup on a case-through-case groundwork.

continuous trying out

here is the enviornment where they found there become a highest deviation. one of the vital essential concerns have been

  • Lack of dedicated excellent assurance (QA) testers in the team.
  • developers found writing the test situations to be boring and unnoticed it when given a decision.
  • Lack of set procedures in the organization that mandated look at various instances.
  • masking all of the unit examine instances, automation exams, turned into time-ingesting and became considered a waste of time.
  • Lack of testing on historic aspects developed via predecessors. extra time turned into crucial for the developers to consider the code and write assessments for them.
  • regardless of the concerns, they found development in trying out in all corporations over time. test insurance has greater, and groups are transferring focus to contain continuous testing to reduce the can charge of errors by means of making an attempt to catch the bugs early. If a product has continual testing as a part of its method, the probabilities of encountering a massive worm after the feature release is tremendously reduced.

    continual beginning

    continual birth (CD) is the process wherein changes of all types – new points, configuration, and malicious program fixes are abruptly delivered to the end-users. usually, teams face issues in reaching a very automated CD pipeline. foremost explanations noted are:

  • different applied sciences and tools thinking (like containers and scripting) that are intricate to integrate.
  • Lack of committed DevOps engineers with the required expertise.
  • version in tools reckoning on the codebase. as an instance, visible Studio helps code written in C# and .web frameworks, but Java requires Jenkins.
  • to conquer these complications, groups inn to their custom-made solutions. This leads to semi-computerized options which fluctuate from crew to crew even within a company. Some groups favor to set up to distinctive environments (by means of equipment like Ansible), whereas others write Python scripts for doing the identical factor, in keeping with their skill sets.

    furthermore, it is virtually inconceivable to completely automate the continual integration and start pipeline as the variety of development environments increase. For some organizations, there can be round 15-20 diverse environments, based upon the product. In every environment, checking out and signal-off has to be carried out by using diverse stakeholders. therefore, even for products that have an automatic CI/CD pipeline they usually have a look at the manner to be automated until the QA half, after which the deployment is manually caused. despite the fact the process is mainly seamless and doesn’t require greater than just a few clicks, however manual intervention remains required.

    In conclusion, they found that DevOps is a growing practise and businesses are finding how you can manage their projects in as smooth a fashion as possible. there's considerable demand on application builders to be trained new equipment, which requires some effort, however the payoff is smoother operations and enhanced high-quality.

    by means of Rahul De’ – Professor of tips programs, TirthaTushar Panda and ShreyashTade – MBA students, IIM Bangalore


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