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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 Solutions PDF Download

IoT in Manufacturing Market growing to be at a CAGR 10.1% | Key participant Cisco, PTC, Microsoft, Siemens AG, Huawei | 300-910 Latest courses and test dumps

“Cisco (US), IBM (US), PTC (US), Microsoft (US), universal electric (US), SAP (Germany), Siemens (Germany), Huawei (China), Bosch.IO (Germany), Atos (France), HCL technologies restricted (HCL), Intel (US), Oracle (US), Schneider electric powered (France), Zebra technologies (US), application AG (Germany), Telit (UK), Wind River (US), ClearBlade (US), Litmus Automation (US),”

IoT in Manufacturing Market by means of component (solutions (community administration and statistics administration) and features (expert and Managed)), Deployment Mode, firm dimension, utility, Vertical (system and Discrete), and vicinity – international Forecast to 2025

The IoT in Manufacturing Market measurement is projected to grow from USD 33.2 billion in 2020 to USD 53.eight billion by way of 2025, at a Compound Annual increase price (CAGR) of 10.1% all through the forecast length. The most important factors riding the increase of the IoT in manufacturing market encompass the transforming into demand for industrial automation in the manufacturing business, the rising want for centralized monitoring and predictive protection of assets, the increasing variety of good value and clever related gadgets and sensors, the transforming into need for respectable, at ease, and high-velocity community connectivity, and the extended adoption of cloud computing structures.

in accordance with services, the managed capabilities section to develop at a more robust CAGR all the way through the forecast period

Managed services are an method to outsource particular manufacturing operations to a service company and center of attention on improving enterprise operations and decreasing useless expenses and overheads. The boom of the managed features segment is anticipated to be pushed by the improved monitoring and protection necessities, improved regulatory compliances, enhanced productivity, and greater facts integrity whereas assembly strict SLAs. In manufacturing industries, superior sensors, manage systems, and application functions work together to acquire and share actual-time information as accomplished items make their way down the construction line. MSPs connect americans across all enterprise capabilities and areas and supply them with crucial guidance related to clever design, operations, and upkeep in addition to offer larger high-quality of features and defense.

communicate to Their professional Analyst: https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=129197408

in line with organization size, enormous corporations is expected to lead the market all the way through the forecast duration

significant companies are witnessing an multiplied should installation IoT in manufacturing solutions and capabilities to efficaciously control their tremendous number of assets unfold throughout geographies. The adoption of IoT in manufacturing options and features in colossal enterprises is excessive as in comparison to SMEs. The high adoption is as a result of the affordability and excessive economies of scale of gigantic enterprises that allow agencies to leverage IoT in manufacturing options and features. In today’s tremendously aggressive world, massive firms primarily leave no stone unturned to catch a larger market share. therefore, huge enterprises spend giant quantities on becoming technologically proficient.

main IoT in manufacturing providers include Cisco (US), IBM (US), PTC (US), Microsoft (US), generic electric powered (US), SAP (Germany), Siemens (Germany), Huawei (China), Bosch.IO (Germany), Atos (France), HCL technologies restricted (HCL), Intel (US), Oracle (US), Schneider electric (France), Zebra technologies (US), application AG (Germany), Telit (UK), Wind River (US), ClearBlade (US), Litmus Automation (US), Uptake (US), HQSoftware (Estonia), ScienceSoft ( US), Mocana (US), and Impinj (US). These market gamers have adopted quite a lot of growth innovations, comparable to partnerships, collaborations, and new product launches, to extend were essentially the most adopted strategies via important gamers from 2018 to 2020, which helped corporations innovate their offerings and broaden their client base.

Cisco (US), is likely one of the main providers in the IoT in manufacturing market. The enterprise presents a big range of options and functions in the IoT in manufacturing market. Cisco presents wise manufacturing solutions that encompass industrial automation, body of workers enablement, industrial security, and plant efficiency. Industrial automation securely connects production programs (Industrial Automation and manage programs [IACS] contraptions, sensors, actuators, and controllers); key machines; and belongings (robots, tools, and procedure skids) to plant life and commercial enterprise networks. wise manufacturing additionally makes it possible for facts assortment and administration, asset visibility and manage, and remote entry and troubleshooting. Cisco connected manufacturing facility solutions supply a set of architectural instructions and items that tie together manufacturing unit automation systems, commercial enterprise functions, and the wider ecosystem of employer and partner solutions.

The business focused on both the biological and inorganic increase approach to raise its place in the IoT in manufacturing market. as an instance, in October 2020, Cisco launched new IoT Sensor solutions to support businesses simplify statistics visibility and enhance protection and efficiency. the new answer helps corporations simplify asset and facility monitoring throughout their corporations, from indoor IT closets to out of doors Operation expertise (OT) areas at scale. the two new options encompass Meraki MT sensors that video display indoor environments and IT infrastructure and Industrial Asset vision sensors that computer screen OT property and amenities in outdoor and industrial indoor areas. In July 2020, Cisco got privately held Fluidmesh Networks, a leader in instant backhaul systems.  Fluidmesh’s main know-how promises reliable and resilient instant solutions for mission-essential applications. Fluidmesh’s solutions are quick to install and configure, providing customers a price-efficient, low-preservation solution. Fluidmesh will lengthen Cisco’s industrial instant offerings to industries with on-the-stream assets and purposes in cases where professional backhaul is mission-essential.

download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?identification=129197408

IBM (US) is yet another IoT in manufacturing options and features issuer across the globe. IBM offers Watson IoT options for industrial device that aid set up IoT connectivity across the business and analyze factory ground and gadget data in genuine time. The answer also improves pleasant handle, reduce downtime, predict screw ups, and enhance the safety and journey of employees. among these IoT options, the business presents business Asset administration answer that use IoT and plant ground records to foretell and prevent machine failure, Boost reliability, and reduce downtime. The business majorly specializes in both the organic and inorganic boom techniques to enhance its area within the IoT in manufacturing market. as an instance, in November 2019, IBM launched Maximo Asset computer screen, a new AI-powered monitoring answer designed to support renovation and operations leaders better take note and increase the efficiency of their high-value genuine property. In October 2020, IBM and ClearBlade, an industrial IoT platform and edge computing utility enterprise, announced their plan to collaborate for supplying aspect IoT asset monitoring for near-precise-time asset management. The ClearBlade aspect Asset display screen solution integrated with IBM edge utility supervisor, which runs on purple Hat OpenShift, presents a secured bundle for managing containerized part-based applications on any hardware.

Media ContactCompany identify: MarketsandMarketsContact adult: Mr. Aashish MehraEmail: send EmailPhone: 18886006441Address:630 Dundee street Suite 430City: NorthbrookState: IL 60062Country: United StatesWebsite: https://www.marketsandmarkets.com/Market-stories/iot-manufacturing-market-129197408.html

Press release disbursed with the aid of ABNewswire.com

To view the normal version on ABNewswire consult with: IoT in Manufacturing Market growing at a CAGR 10.1% | Key participant Cisco, PTC, Microsoft, Siemens AG, Huawei


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