The Cisco 350-901 exam encompasses a wide range of knowledge and skills that are grouped into 5 domains. The abilities related to each topic are outlined below:

• Cisco Platforms – 20%

  Here the test takers must confirm their proficiency in constructing the API requests to implement chatops using Webex Teams API; constructing the API requests in order to develop as well as delete objects with the help of Firepower device management (FDM); constructing the API requests with the help of the Meraki platform to fulfill these tasks (including utilizing Meraki Dashboard APIs to activate SSID as well as utilizing Meraki location APIs to retrieve location data). Besides that, the students should have the relevant skills in constructing API calls to retrieve data from Intersight; constructing a Python script with the help of UCS APIs to provision a new UCS server depending on a template; constructing a Python script with the help of Cisco DNA center APIs to retrieve as well as display wireless health data; describing the capacity of AppDynamics while instrumenting an application; describing stages to construct a custom dashboard to provide data collected from Cisco APIs.

• Infrastructure & Automation – 20%

  Within this part, the learners need to demonstrate that they are capable of explaining model-driven telemetry considerations (comprising data consumption as well as data storage); utilizing RESTCONF to customize a network device including static routes, VLANs (IOS XE only), and interfaces; constructing a workflow to customize network parameters using ansible playbook as well as puppet manifest; defining a configuration management solution to meet the technical as well as business requirements; describing how to host an application on a network device (including Cisco IOx-enabled devices and Catalyst 9000).

• Software Development & Design – 20%

  The first domain revolves around the candidates’ skills, such as describing distributed applications associated with the principles of back-end, front-end, as well as load balancing; evaluating the design of an application taking into consideration modularity and scalability; evaluating the design of an application taking into consideration resiliency as well as high-availability (including Cloud, hybrid, and onpremises); evaluating the design of an application taking into consideration rate limiting and latency; evaluating the design as well as implementation of an application taking into consideration maintainability; evaluating the design as well as implementation of an application taking into consideration observability. The examinees should also show that they are skilled at diagnosing problems with an application depending on logs associated with an event; evaluating the choice of database kinds depending on the application requirements (including document, relational, columnar, graph, and Time Series); explaining architectural patterns (including microservices, services oriented, monolithic, as well as event driven); utilizing upgraded version control operations using Git (including merging a branch, resolving conflicts; git reset; git checkout; git revert); explaining the principles of release packaging as well as dependency management; constructing a sequence diagram including API calls.

• Utilizing APIs – 20%

  This topic comprises the following skills: implementing robust REST API error management for time outs as well as rate limits; implementing consumer code control flow for unrecoverable REST API errors; defining ways to optimize API utilization via HTTP cache controls; constructing an application consuming a REST API that maintains pagination; describing the stages within the OAuth2 three-legged authorization code grant flow.

• Application Deployment & Security – 20%

  To tackle the questions from this section, the applicants should have competency in diagnosing a CI/CD pipeline failure (including missing dependency, failed tests, as well as incompatible versions of elements); integrating an application into a prebuilt CD environment using Docker as well as Kubernetes; describing the advantages of continual testing as well as static code analysis within a CI pipeline; utilizing Docker in order to containerize an application. In addition, the individuals must be able to describe the "12-factor app" tenets; describe an efficient logging approach for an application; explain data privacy concerns associated with storage as well as data transmission; define the secret storage strategy appropriate for a particular scenario. Other skills covered in this domain include configuring application specific SSL certificates; implementing mitigation approaches for OWASP threats (including CSRF, XSS, as well as SQL injection); describing how end-to-end encryption concepts apply to APIs.

To get accredited, candidates must pass a comprehensive two-exam combination. Cisco 350-901 is the core test associated with this path. The concentration exams, on the other hand, are usually picked from the following options depending on your career track and future professional goals:

• Cisco 300-835: Implementing Automation for Cisco Collaboration Solutions (CLAUTO)
• Cisco 300-435: Implementing Automation for Cisco Enterprise Solutions (ENAUTO)
• Cisco 300-635: Implementing Automation for Cisco Data Center Solutions (DCAUTO)
• Cisco 300-915: Developing Solutions using Cisco IoT and Edge Platforms (DEVIOT)
• Cisco 300-535: Implementing Automation for Cisco Service Provider Solutions (SPAUTO)
• Cisco 300-910: Implementing DevOps Solutions and Practices using Cisco Platforms (DEVOPS)
• Cisco 300-920: Developing Applications for Cisco Webex and Webex Devices (DEVWBX)
• Cisco 300-735: Implementing Automation for Cisco Security Solutions (SAUTO)

Like most of the new certifications offered by Cisco, there are no binding requirements for attaining DevNet Professional. However, candidates are highly advised to have a good mastery of the exam topics before registering for it. In general, most individuals who enroll in Cisco's professional training have a minimum of 3-5 years of proven experience in software development involving key areas such as Python programming.

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