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The Cisco 200-901 certification, also known as Developing Applications and Automating Workflows using Cisco Platforms (DEVASC), is designed to validate foundational skills in software development, automation, and Cisco technologies. It stands at the intersection of networking and programming, making it highly relevant for professionals in DevNet roles. Understanding the scope, value, and content of the 200-901 exam is the first step toward earning this credential.
As businesses embrace automation and programmability, the role of network professionals is shifting. No longer limited to manual device configuration, network engineers are expected to understand APIs, automation frameworks, and how applications interact with infrastructure. The 200-901 certification addresses these requirements by covering programming basics, APIs, Cisco platforms, application development, and infrastructure automation.
This certification is especially useful for professionals aiming to work in roles like network automation engineer, DevOps engineer, or software developer with a focus on networked systems. It also acts as a gateway to Cisco’s DevNet certification track, which includes associate, professional, and specialist levels.
The exam targets a broad audience. While software developers looking to specialize in networking automation will find it aligned with their goals, it is also well-suited for traditional network engineers who want to upgrade their skills with coding and automation.
The certification is ideal for professionals who:
Are new to software development but come from a networking background
Have experience with scripting or programming and want to apply it to networked environments
Seek roles in infrastructure automation, cloud-native operations, or DevNet teams
Although the 200-901 exam is considered entry-level, candidates should not underestimate the skill set required. A working knowledge of programming languages like Python, basic understanding of Linux environments, and familiarity with networking fundamentals are essential.
Key baseline skills include:
Understanding REST APIs and how HTTP works
Writing simple Python scripts
Using version control systems like Git
Basic knowledge of data formats like JSON and XML
Awareness of network protocols such as TCP/IP and DNS
For candidates coming from a networking background, the programming component may be the most challenging. Conversely, for software developers, the networking and Cisco-specific sections could present the biggest learning curve.
The 200-901 exam consists of multiple-choice and simulation questions. The test duration is 120 minutes. The passing score is not publicly disclosed, as Cisco uses a scaled scoring system.
The exam is divided into six domains:
Software Development and Design
Understanding and Using APIs
Cisco Platforms and Development
Application Deployment and Security
Infrastructure and Automation
Network Fundamentals
Each domain has a different weightage, with APIs and software development occupying a significant portion. Therefore, mastery of scripting and API usage is critical to success.
Let’s explore each of the domains in more detail to understand what topics are covered and how they relate to practical roles.
This domain covers core programming concepts such as data types, loops, conditionals, and functions. Candidates are expected to be familiar with Python syntax and its use in building network automation scripts. The domain also addresses software design patterns, test-driven development, and error handling.
In real-world roles, this translates to writing modular code that can interact with network devices, analyze outputs, and make automated decisions.
APIs are the backbone of automation in networked environments. This section focuses on RESTful APIs, HTTP methods (GET, POST, PUT, DELETE), status codes, and data formatting. Understanding how to authenticate API requests, parse JSON responses, and build API-driven scripts is essential.
This domain reflects real scenarios where engineers interact with devices or platforms via APIs rather than command-line interfaces. API skills are crucial for automating workflows, integrating systems, and orchestrating complex network operations.
This section introduces Cisco-specific platforms such as Cisco DNA Center, Meraki, and Webex. Candidates must understand the use of APIs in these environments, including how to access device telemetry, manage network policies, and interact with cloud-managed platforms.
The domain tests practical knowledge of how to use APIs and SDKs provided by Cisco to perform configuration tasks, retrieve analytics, and automate deployments across hybrid environments.
In this domain, candidates explore methods of deploying applications, securing communication, and managing containers. Knowledge of Docker, application monitoring, and secure coding practices is necessary.
With more network functions being containerized and deployed across multi-cloud environments, understanding application lifecycle management becomes crucial. The exam also evaluates awareness of common security vulnerabilities and ways to mitigate them.
This domain emphasizes tools and methodologies for automating infrastructure management. Topics include Infrastructure as Code (IaC), configuration management tools like Ansible and Puppet, and automation platforms such as Terraform.
Candidates are expected to understand how to create automation scripts for deploying configurations, monitoring changes, and scaling network resources. The domain bridges the gap between software engineering and infrastructure operations.
The final domain reinforces core networking concepts such as subnetting, routing, switching, and IP addressing. It ensures that candidates understand how devices communicate, how data flows through networks, and how different layers of the OSI model interact.
For developers transitioning into networking roles, this section is vital. It connects their programming skills with an understanding of how real-time data moves across routers, switches, and cloud platforms.
A structured study approach is necessary to clear the 200-901 exam. Candidates should start with foundational Python programming if they are new to it. They should also practice using tools like Postman for API testing, Git for version control, and Docker for container management.
Hands-on practice is key. Building simple scripts to automate network tasks or access device telemetry can help reinforce theoretical concepts. Simulation labs or practice environments are particularly useful for applying what is learned in real-world contexts.
Joining communities or discussion groups focused on DevNet certification paths can also provide guidance, tips, and peer support.
While a variety of resources exist, practical learning takes priority. Candidates should build small projects that integrate APIs, automate network configurations, and simulate real-world use cases. Emphasis should be placed on:
Writing Python scripts that parse JSON and communicate with APIs
Using CLI tools and SDKs provided by Cisco
Understanding how REST APIs work under different authentication models
Working with network simulation tools to visualize traffic flow and data plane behavior
Candidates should also dedicate time to practice questions and mock exams that simulate the structure and timing of the real test. Time management during the exam is critical, especially with longer scenario-based questions.
The 200-901 certification is increasingly recognized by employers as a strong indicator of hybrid skills in development and network automation. It positions certified professionals for roles that demand an understanding of both infrastructure and programmability.
With automation becoming a default expectation in enterprise environments, having this credential demonstrates readiness to operate in modern IT environments. It also acts as a stepping-stone toward more advanced certifications like Cisco DevNet Professional or role-based certifications in cloud infrastructure.
After clearing the 200-901 exam, candidates have several options for further growth. They can specialize in automation using tools like Ansible, pursue DevOps certifications, or move toward full-stack network engineering roles.
Advanced Cisco certifications such as DevNet Professional provide deeper insights into application deployment, security, and cloud-native infrastructure. Other paths include exploring software-defined networking, Kubernetes for networking, and cloud provider automation services.
The 200-901 credential sets a strong foundation and opens multiple avenues for professional growth in modern IT and DevNet environments.
Networking is one of the key domains covered in the 200-901 exam, and a strong understanding of how networking operates in both traditional and modern architectures is essential. Candidates are expected to understand basic networking models such as OSI and TCP/IP, and also how data flows through the network. Grasping these fundamentals allows one to understand more complex topics such as network programmability, software-defined networking, and virtualized network functions.
Candidates preparing for the 200-901 exam should be comfortable with the principles of IP addressing. This includes understanding IPv4 and IPv6 address structures, the purpose of subnetting, and how to calculate subnet masks. These skills are particularly important when dealing with automation scripts that interact with network configurations, enabling dynamic allocation and scaling.
A key part of networking knowledge involves understanding how data is transmitted between devices. The two most prominent protocols at the transport layer, TCP and UDP, operate in very different ways. TCP is connection-oriented and ensures reliable delivery, while UDP is connectionless and better suited for fast transmissions where loss can be tolerated. Recognizing when each is appropriate, and how to troubleshoot issues arising from their use, is essential for those sitting the 200-901 exam.
The 200-901 exam emphasizes the use of APIs as a fundamental component of modern software and infrastructure. Candidates must understand what an API is, how they are structured, and particularly how RESTful APIs operate. REST, which stands for Representational State Transfer, uses HTTP methods like GET, POST, PUT, and DELETE to manipulate resources and is widely used in network programmability and automation.
The exam requires familiarity with CRUD operations in the context of REST APIs. CRUD stands for Create, Read, Update, and Delete. These operations map directly to HTTP methods and are used to interact with resources in a web-based system. Knowing how to structure requests and parse responses is essential, especially when working with REST APIs to configure network devices or access telemetry data.
Data returned from APIs is often in JSON or XML formats. Understanding the structure of JSON objects and arrays, as well as XML elements and attributes, is vital. Candidates must be able to read, write, and manipulate these data formats to interact effectively with REST APIs, and parse the responses for use in scripts and automation workflows.
Many modern APIs require authentication for security. This can be through basic authentication, token-based methods, or OAuth. For the 200-901 exam, candidates should understand how these mechanisms work and be able to integrate authentication headers into their API requests. This is often a prerequisite for working with APIs in production environments where security and access control are mandatory.
Python is the primary programming language expected on the 200-901 exam. It is used extensively in network automation due to its simplicity and versatility. Candidates should understand Python syntax, variables, control flow structures such as loops and conditionals, and how to define and call functions. A strong foundation in Python enables one to write scripts that can automate repetitive tasks or interface with APIs.
Consuming REST APIs using Python is a critical skill for the exam. Candidates should be familiar with using libraries such as requests to send HTTP requests and handle the responses. This includes constructing URLs, adding headers, sending payloads, and parsing returned data. These skills are used to interact with network devices, retrieve configuration data, and even automate remediation actions.
Beyond interacting with APIs, Python can be used to automate network-related tasks such as parsing configuration files, monitoring device status, or triggering actions based on events. This often involves using regular expressions to extract relevant information, working with JSON or YAML data, and integrating with external systems such as ticketing tools or monitoring platforms.
The 200-901 exam includes content on DevOps principles and Infrastructure as Code. Candidates must understand the shift from traditional IT to a DevOps mindset, which emphasizes continuous integration, continuous delivery, and automation. Infrastructure as Code allows engineers to define infrastructure configurations in code files, enabling repeatable deployments and easier management of resources.
Tools such as Ansible, Puppet, and Chef are common in Infrastructure as Code. While deep knowledge is not required for the 200-901 exam, candidates should understand the role of configuration management tools in automating device provisioning, configuration enforcement, and rollback. These tools help ensure consistency across environments and reduce manual errors in large-scale deployments.
Many modern network devices expose their configurations through REST APIs. Instead of using traditional CLI interfaces, automation tools and scripts can now configure devices programmatically. This approach improves efficiency, scalability, and reduces the likelihood of human error. Candidates should be able to send API requests to retrieve and modify configuration data.
Containers and microservices represent the modern approach to application development and deployment. For the 200-901 exam, candidates should understand the concept of containers, how they differ from virtual machines, and how they enable application portability and scalability. Docker is the most commonly used container technology, and familiarity with Docker images, containers, and commands is important.
Kubernetes is the orchestration platform used to manage containerized applications at scale. While only a high-level understanding is needed, candidates should know what Kubernetes does, its role in deploying and managing containers, and basic components such as pods, services, and deployments. These concepts are critical in modern network environments where applications and infrastructure are tightly integrated.
Continuous integration and continuous deployment pipelines are core to the DevOps methodology. The 200-901 exam tests understanding of what CI/CD pipelines are, how they help in delivering code faster and more reliably, and what tools are commonly used to implement them. Candidates should understand the basic stages of a pipeline, including building, testing, and deploying code, and how automation fits into each stage.
Version control is essential for managing code and configuration changes. Git is the most widely used version control system, and candidates should understand how to create repositories, commit changes, create branches, and merge code. These skills are fundamental in collaborative environments and form the basis for tracking changes in both software and infrastructure code.
YAML is a human-readable data serialization format used in many network automation tools and CI/CD systems. Candidates should be able to read and write basic YAML files, which are often used to define configurations for tools like Ansible or Kubernetes. Understanding how to structure keys, lists, and nested data is critical.
Modern networks produce large volumes of telemetry data, which can be analyzed to improve performance, detect anomalies, and plan capacity. For the 200-901 exam, candidates should understand the sources of telemetry data, such as SNMP, syslog, and streaming telemetry, and how this data can be collected, stored, and analyzed.
Effective network monitoring requires collecting data, analyzing it, and triggering alerts when anomalies are detected. Candidates should be familiar with common monitoring metrics, thresholds, and alerting strategies. They should also understand the difference between reactive and proactive monitoring and how automation can help in responding to incidents.
Security is a key concern in network environments. The 200-901 exam includes content on security principles such as authentication, authorization, encryption, and segmentation. Candidates must understand the role of firewalls, access control lists, and VPNs in securing network communication, and how security is integrated into automated workflows and DevOps pipelines.
Software Defined Networking separates the control plane from the data plane, allowing centralized control of network traffic. Candidates should understand the basic architecture of SDN, its benefits in terms of agility and scalability, and how SDN enables automation and programmability. This concept is foundational in modern network environments.
Modern network devices support APIs that allow external systems to query and configure them. Candidates preparing for the 200-901 exam should be aware of network controllers, automation platforms, and APIs that expose device data. These tools help in managing large, distributed environments more efficiently and securely.
Infrastructure as Code allows automated provisioning and management of networks and systems. With 200-901, this becomes a key area where you are expected to understand tools and methods to define infrastructure through code. YAML and JSON structures are used commonly, and working knowledge of templates like Jinja2 or automation frameworks like Ansible can make a real difference.
The focus lies not only on writing configurations but also on integrating those into CI/CD pipelines. This allows developers and network professionals to scale their environments predictably. Understanding version control, especially using Git, becomes essential as IaC relies heavily on managing changes and rollbacks.
Another critical subdomain is configuration management. You must know how different tools can push configurations across devices, maintain consistency, and provide automation to support enterprise network operations. Systems like Puppet, Chef, and Ansible help in real-world implementations, and you must understand how configuration drift is detected and corrected over time.
Configuration management intersects with CI/CD strategies. Infrastructure can now be versioned and tested like application code. This elevates operational efficiency and minimizes human errors.
Candidates must also grasp how network automation transforms traditional manual network management. The exam expects you to understand how scripts interact with APIs to retrieve, update, and delete network configurations.
Python is the preferred language. Proficiency with Python libraries like Requests for REST API calls, JSON for data parsing, and Netmiko for device interaction will give you an edge. The 200-901 exam tests whether you can reason about tasks like auto-remediation, policy enforcement, and automated backup through scripts.
Real-life applications include the automation of firewall rule deployments, provisioning VLANs, or even validating configurations against security policies. All these functions minimize downtime and scale well across thousands of devices.
CI/CD bridges software development with automated testing and delivery. It is now also being used in networking, where configurations are tested before being deployed. Understanding this concept is crucial for DevNet aspirants.
CI/CD pipelines are built using tools like Jenkins, GitLab CI, or Travis CI. These platforms allow automatic testing and deployment when code is pushed to a repository. For instance, if a new switch configuration is committed, automated tests validate it against existing policies, and once approved, it gets deployed to production.
The exam requires an understanding of how version control interacts with pipeline automation, and how containerized environments like Docker fit into this process. Knowledge of continuous delivery ensures you're prepared for enterprise-level application and infrastructure delivery models.
An essential part of the DevNet Associate curriculum is containerization. Docker is the primary platform for packaging and running applications in isolated environments. You must know how containers differ from virtual machines, how they are built, and how images are created and managed.
This becomes especially relevant when deploying applications across multiple environments or orchestrating services using tools like Kubernetes. The modular nature of containers supports microservices architectures, which allow scalability and maintainability in application development.
Understanding how containers relate to network services is also important. Topics such as container networking, service discovery, and ingress controllers play a role in large-scale deployments.
Security principles are deeply embedded in every layer of the DevNet Associate certification. The exam emphasizes the need to consider security early in the development lifecycle. This includes API security, secure authentication methods, and common exploits.
A candidate should be aware of OAuth, SAML, and token-based authentication. Knowledge of data encryption, TLS, and secure REST communication is mandatory. Role-based access control and scope-based permissions are also critical to limiting exposure in an automated network.
The exam may also test awareness of software composition analysis and static code analysis tools. These tools identify vulnerabilities within your codebase or third-party libraries. Secure coding practices are essential to any DevOps environment, especially when network devices and cloud platforms are involved.
The core of DevNet lies in understanding how RESTful APIs work. The exam will expect fluency in concepts like HTTP methods (GET, POST, PUT, DELETE), status codes, and payload formatting. REST APIs allow applications to communicate with each other across the network stack.
You should be familiar with making API calls through Python scripts, interpreting response codes, and parsing JSON data. Use cases include retrieving interface statuses, pushing configurations, and checking device health.
Candidates are expected to build workflows that consume APIs from networking platforms. Whether you are interacting with controllers, cloud environments, or custom tools, REST API knowledge is foundational.
Understanding data models is another significant area. The exam covers the use of YANG models to structure network data. These models support configuration automation and real-time telemetry.
Protocols like NETCONF and RESTCONF are used to interact with network devices using YANG-based models. Candidates should know how these protocols function and how they compare with traditional
CLI or SNMP.
Streaming telemetry represents a more modern approach to monitoring. Instead of pulling data periodically, devices stream information continuously to collectors. This real-time data allows predictive analytics, alerting, and fine-grained visibility into operations.
Candidates must also understand different application deployment models. Applications may run on physical servers, virtual machines, containers, or cloud-native services. The exam explores the pros and cons of each.
You must recognize how APIs interact with these deployment models. Whether deploying a web app, an API gateway, or a network analytics dashboard, automation should support build, test, deploy, and monitor stages.
Edge computing is another emerging topic. Applications now run closer to users or data sources, which requires new networking paradigms and automation frameworks.
Software Development Kits (SDKs) are tools that help interact with APIs more efficiently. Many platforms provide SDKs to abstract REST calls, manage authentication, and simplify logic.
Candidates should understand how to integrate SDKs into Python projects, handle exceptions, and iterate on data returned by API calls. This allows better interaction with network operating systems or cloud orchestration layers.
SDKs improve code maintainability, reduce errors, and allow faster application development. Being comfortable with their structure, use cases, and integration workflows will give you a distinct advantage during the exam.
The exam expects a mindset beyond technical configuration. You must be capable of thinking like a software engineer and network architect combined. This involves designing solutions that scale, are secure, and are maintainable.
For example, automating switch configuration for a campus network involves designing a script that pulls VLAN data, validates against policy, applies configuration, and logs the outcome. In another case, you might need to deploy a monitoring dashboard that consumes telemetry data and visualizes device health in real time.
These real-world use cases require combining multiple domains: infrastructure as code, APIs, telemetry, CI/CD, and security. Being able to reason about architectural trade-offs, error handling, and scalability is critical.
Automation is powerful but brings new troubleshooting challenges. Scripts can fail due to syntax errors, API timeouts, authentication issues, or logic bugs. The exam includes scenarios that test how well you debug and improve broken workflows.
You must know how to use log files, status codes, and error messages to diagnose issues. Having a structured approach to root cause analysis and implementing fail-safes like retries and validation checks is important for resilient systems.
In large-scale automation environments, monitoring systems like Prometheus or ELK Stack are used to visualize errors, metrics, and system behavior. While not mandatory to master, understanding their basic principles helps contextualize how enterprises maintain reliability.
While the 200-901 exam does not focus on bleeding-edge technology, candidates are expected to be aware of emerging trends. Topics like AIOps, intent-based networking, and software-defined perimeter concepts are gaining traction.
Automation is evolving into intelligent systems where data analytics, machine learning, and policy engines drive real-time decisions. Being prepared for this shift can open opportunities beyond entry-level DevNet roles.
Understanding the role of APIs in cloud-native infrastructure, hybrid environments, and zero-trust models gives you a strategic edge in your long-term career path.
One of the most valuable skills in any certification is the ability to troubleshoot issues across different domains. The 200-901 exam places emphasis on identifying, analyzing, and resolving problems in DevNet environments using various tools, strategies, and logs.
Troubleshooting starts with a clear understanding of the problem. In many networked or automated environments, errors might appear in multiple layers, including the application, network, transport, or automation logic. Knowing where to start is half the solution. Candidates are expected to interpret system logs, read error messages, understand failed API calls, and use version control history to spot changes that might have triggered a malfunction.
A structured troubleshooting process often begins with replicating the issue in a test environment. This helps isolate the bug without affecting production systems. Next, using debuggers, command-line utilities, or automation logs, you identify the component causing the issue. In pipeline-based systems, CI/CD logs are particularly valuable in tracing broken builds, failed deployments, or integration mismatches.
The exam may include scenarios where a Python script fails to execute, an API request returns an error code, or an infrastructure deployment via Ansible doesn’t complete successfully. Candidates must know how to diagnose these cases effectively and propose corrective actions.
Version control is the backbone of collaborative development. The 200-901 exam tests how candidates work with Git, manage branches, handle conflicts, and roll back changes safely. Real-world scenarios often include teams working simultaneously on various features, resulting in merge conflicts or divergent branches.
In the exam, it is important to understand both Git fundamentals and advanced operations. These include branching strategies, merge versus rebase, and dealing with detached HEAD states. You may also be asked to identify syntax to stage changes, commit with messages, push to remote repositories, or create new feature branches.
One critical exam concept is resolving conflicts. When two developers modify the same lines of code in different branches and try to merge, Git halts the process and flags a conflict. You are expected to manually reconcile these differences, test the result, and complete the merge with an appropriate commit.
Beyond coding, version control extends to configuration files, infrastructure-as-code scripts, and automation playbooks. Knowing how to track changes in these components adds to the breadth of your capability.
Security is an essential pillar of any modern application. In the 200-901 exam, you’re expected to recognize and implement basic security practices, especially in API development and consumption. This includes authentication protocols, encryption methods, and best practices around token management.
Candidates should understand how REST APIs typically handle security. Basic authentication involves sending a username and password encoded in base64 in the request headers. However, this method lacks encryption and is rarely used in production without HTTPS.
A more common approach is using token-based authentication. OAuth2 is the most recognized protocol here, and exam takers must grasp the flow of token issuance and usage. For example, a user requests a token by providing credentials and a scope; once received, this token is attached to future API calls for access authorization.
There may be exam scenarios requiring you to inspect request headers, identify incorrect tokens, or suggest the correct scope for an API operation. You may also need to interpret error codes such as 401 (unauthorized) or 403 (forbidden) to determine what part of the authentication or authorization failed.
Understanding secure coding practices, such as not hardcoding tokens and using environment variables, is also crucial.
As modern applications grow more distributed, containerization and microservices have become fundamental design strategies. The 200-901 exam includes topics that test your understanding of how containers work, how to deploy them, and how they interact with each other in microservice ecosystems.
Docker is the dominant container tool referenced in the exam. You should know how to write a Dockerfile, build an image, run a container, and expose ports. Additionally, you are expected to understand the concept of container orchestration through platforms like Kubernetes, even at a high level.
In real-world DevNet tasks, containers allow different services to operate in isolation while sharing the same infrastructure. This reduces deployment conflicts and makes scaling easier. You might face a scenario in the exam where a containerized web server cannot connect to a database, and you’re expected to check network configurations, ports, or missing environment variables.
Candidates should also understand container registries, tagging images, and managing image versions. Knowing how to inspect running containers, examine logs, and restart failed containers is key for successful operations.
Continuous Integration and Continuous Deployment pipelines automate testing, building, and releasing code. These pipelines are central to software quality and speed. The 200-901 exam focuses on how CI/CD integrates into the DevNet workflow and what tools support it.
You are expected to know how a pipeline works, including triggers like code commits, pull requests, or manual pushes. A pipeline usually consists of several stages: code checkout, testing, building, packaging, deployment, and post-deployment verification.
Familiarity with tools like Jenkins or GitHub Actions can help you understand how pipelines are configured and how different jobs depend on one another. The exam may include interpreting a pipeline YAML file, identifying missing dependencies, or debugging a failed build step.
Pipelines enforce good development practices such as automated testing, static analysis, and code coverage checks. You may be presented with a failed test case in the pipeline and asked to diagnose its root cause or correct the configuration.
Understanding how CI/CD intersects with infrastructure-as-code, container deployments, and RESTful APIs creates a unified picture of modern DevOps practices.
The 200-901 exam includes a section on data formats like JSON and XML. Candidates must not only identify these formats but also parse, read, and manipulate them. JSON is particularly important due to its dominance in API communication.
You must be able to read a JSON structure and extract fields using Python or CLI tools like jq. The exam might require you to transform one format to another, such as converting JSON to CSV or vice versa, particularly for processing large datasets or logs.
Understanding indentation, brackets, and arrays is critical for avoiding common syntax errors. XML, though less common today, is still in use in legacy systems, and you may need to identify tags, attributes, or namespaces within XML documents.
Practical usage might include reading API responses in JSON, extracting status fields, and using that data in further automation scripts or condition checks.
Infrastructure automation tools like Ansible, Terraform, and Puppet are transforming how networks and applications are managed. While the 200-901 exam doesn’t go too deep into these tools, you should be familiar with their syntax, capabilities, and integration into development pipelines.
For example, using Ansible, a configuration file (called a playbook) is used to automate the installation of software or configuration of devices. YAML is the language used for Ansible playbooks, and the exam may require you to identify errors in syntax or logic.
The benefit of infrastructure automation is consistency. With scripts and templates, you can avoid the inconsistencies that arise from manual configuration. You also gain speed, reproducibility, and ease of scaling environments.
Another important concept is idempotency. Automation tools ensure that re-running the same script doesn’t lead to errors or duplicate configurations, which is vital for production systems.
The exam may ask how a change to an infrastructure script affects existing systems or how to roll back a misconfigured deployment.
DevNet professionals need to go beyond software APIs and engage directly with network devices. Many modern network devices expose REST APIs or support protocols like NETCONF and RESTCONF. These allow you to query configurations, update routing tables, and monitor status in real time.
The 200-901 exam includes questions on interacting with APIs on switches, routers, and controllers. For example, using a REST call to retrieve the status of an interface or POST data to change a configuration. You need to be familiar with common HTTP methods (GET, POST, PUT, DELETE) and the structure of typical API calls.
The ability to read API documentation, authenticate with network devices, and parse responses is essential. You may be asked to identify a misconfigured endpoint or incorrect headers in an API request.
Combining network APIs with automation scripts allows massive efficiency gains in configuring hundreds of devices in seconds, a skill in high demand.
The 200-901 exam certification, designed to validate your knowledge in software development and DevOps practices for networked environments, has emerged as a significant credential for those entering the world of network programmability. This certification does more than prove technical aptitude—it signals a mindset ready to embrace automation, streamline infrastructure, and support the transformation of traditional networking roles into modern, agile, and code-driven operations.
Throughout your preparation journey, you explore multiple domains including software development and design, APIs, Cisco platforms, infrastructure and automation, and network fundamentals. This structured approach not only reinforces foundational networking principles but also allows you to think like a developer, building the bridge between infrastructure and application development. The ability to write scripts, consume APIs, and automate processes is no longer a bonus—it's expected. The 200-901 certification ensures you can meet this expectation.
What makes this path even more compelling is the alignment of its content with real-world job roles and responsibilities. Whether you aim to become a network automation engineer, DevOps specialist, or software developer working within an infrastructure context, the exam equips you with tools and thought patterns that translate directly into workplace success. It encourages continuous learning, adaptability, and problem-solving—traits that are indispensable in modern IT environments.
Completing the 200-901 certification is more than achieving a milestone; it is a launchpad. It opens up new conversations, makes your resume stand out, and places you at the forefront of a rapidly evolving domain. As the demand for hybrid skills continues to grow, those who can integrate programming with infrastructure knowledge will lead the next wave of digital innovation. Let this certification be the first step in a lifelong journey of growth in network automation and programmable infrastructure
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