Cisco DEVASC 200-901 Practice Test Questions, Cisco DEVASC 200-901 Exam Practice Test Questions

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Cisco 200-901 CCNAAUTO v1.1: APIs, Software Skills, and Network Automation

Cisco 200-901 CCNAAUTO v1.1 is the current associate automation exam. Passing it earns CCNA Automation, and Cisco lists the exam at 120 minutes, US$300, with English and Japanese delivery. The exam tests software development and design, APIs, application deployment and security, and infrastructure automation across Cisco platforms.

The code will look familiar to anyone who followed the earlier DevNet Associate program. That is intentional: Cisco rebranded DevNet Associate as CCNA Automation on February 3, 2026. Cisco described the associate transition as the same test under the new certification name, while the wider professional automation track received more substantial restructuring. In 2026, candidates should therefore use the current CCNA Automation name while understanding why older 200-901 material often says DEVASC or DevNet Associate.

Cisco's live automation path uses 200-901 CCNAAUTO v1.1 as the required associate exam. The older DevNet Associate destination remains relevant as historical context because the certification existed under that name for years, but the active credential is CCNA Automation.

The change is more than cosmetic in the way learners think about the role. Automation now sits explicitly inside Cisco's familiar CCNA, CCNP, and CCIE naming structure, making the progression from foundational programming and API use into professional automation systems easier to see.

Within Cisco, the associate exam remains a cross-disciplinary credential. It expects enough networking knowledge to understand the systems being automated and enough software knowledge to interact with them safely and repeatably.

Software development fundamentals for network engineers

Automation begins with the ability to express logic clearly. Candidates should understand variables, data types, conditions, loops, functions, error handling, and common software-development practices. Python is especially important because it is widely used for network tooling and because many Cisco automation examples use it.

The goal is not to become a computer-science researcher. It is to write or understand code that can read structured data, make an API request, process the response, handle failure, and produce a predictable result. Learning Python for network automation is most useful when the code is tied to a real operational task such as inventory collection, configuration validation, or interface-state reporting.

Version control belongs to this domain as well. Git allows code, templates, and configuration artifacts to be reviewed, compared, and rolled back. That discipline is a major difference between one-off scripts and maintainable automation.

Data formats and why structured information matters

APIs and automation tools exchange structured data rather than human-formatted CLI screens. Candidates should be comfortable recognizing JSON, XML, and YAML, understanding nesting and key-value relationships, and converting information from one representation into another when necessary.

JSON appears frequently in REST API responses because it maps naturally to objects and arrays used in software. XML remains important in model-driven networking and NETCONF. YAML is widely used for configuration and automation definitions because it can express structured data in a compact human-readable form.

The important skill is not memorizing punctuation. It is being able to look at a data structure and identify the value the program needs. If an API returns a list of interfaces, the script may need to filter by status, extract identifiers, or build a new request from selected fields. Structured data becomes the bridge between systems and code.

REST APIs, authentication, and reliable API workflows

An API is a contract for interacting with a service. Candidates should understand resources, endpoints, HTTP methods, status codes, headers, authentication, and request or response bodies. A GET request that retrieves data is different in intent from a POST or PATCH that creates or changes state, and automation must treat that difference carefully.

A reliable workflow validates both transport success and application meaning. An HTTP 200 response may still contain data that fails the intended business condition, while a 401 indicates an authentication problem and a 404 may indicate a wrong resource or identifier. Code should handle these outcomes rather than assume every request succeeds.

Credentials and tokens require secure handling. Hard-coding secrets into scripts or committing them to source control creates risk. Environment variables, secret stores, scoped tokens, and least-privilege access are part of safe automation because a program can make changes much faster than a human operator.

Model-driven networking with YANG, NETCONF, and RESTCONF

Traditional network automation often begins by screen-scraping CLI output, but model-driven approaches provide structured interfaces designed for machines. YANG defines data models. NETCONF and RESTCONF provide mechanisms for retrieving or modifying modeled configuration and operational state.

Understanding how YANG, NETCONF, and RESTCONF fit together helps candidates see the difference between parsing arbitrary command output and using a defined schema. A model can specify what configuration objects exist, their hierarchy, data types, and constraints. The protocol then transports operations against that model.

This matters for scale and validation. Structured models reduce ambiguity and make it easier for automation to verify intended state before and after a change. The associate exam does not require every detail of every YANG model, but it does expect candidates to understand why model-driven programmability is valuable.

Cisco platforms, controllers, and automation targets

Network automation is only useful when the candidate understands what is being automated. Cisco platforms expose APIs and software development kits for network, collaboration, security, data-center, and cloud-oriented workflows. Controllers can provide a system-level view that is difficult to reproduce by logging into devices individually.

Candidates should learn the purpose of the platform interface, the identity model it uses, the type of objects it manages, and the typical lifecycle of a request. A controller API might create a site, retrieve device inventory, apply policy, or report health. A device API may expose configuration and operational state more directly.

The exam rewards transferable API reasoning rather than memorization of one endpoint path. Authenticate correctly, discover the resource, read documentation, construct the request, validate the response, handle pagination or errors, and confirm that the resulting network state matches the intent.

Application deployment, containers, and secure automation

Automation code eventually has to run somewhere. Candidates should understand basic application deployment concepts, containerization, dependencies, environment configuration, logging, and the security implications of distributing an application. Containers help package software with its required runtime and libraries, which can make development and deployment more consistent.

Security should be designed into the workflow. Validate input. Avoid exposing secrets. Use secure transport. Keep dependencies updated. Limit the privileges granted to the application. Log enough information to diagnose failure without leaking sensitive data. These practices become more important as automation gains the ability to change production infrastructure.

CI/CD concepts also matter because automation code benefits from testing before release. A pipeline can run syntax checks, unit tests, security scans, and controlled deployment steps. The broader DevOps workflow provides the cultural context: code, infrastructure, and operations are managed through repeatable collaborative processes rather than isolated manual changes.

Infrastructure as code and configuration automation

Infrastructure as code treats desired infrastructure state as versioned, reviewable definitions. Instead of documenting a change in prose and reproducing it manually, engineers describe the target state and use tooling to apply it consistently. This improves repeatability, auditability, and rollback planning when used carefully.

Tools differ in style. Ansible commonly uses task-oriented automation, while Terraform emphasizes declarative desired state. Learning infrastructure as code with Terraform is useful because it highlights concepts such as state, plans, dependency relationships, and controlled application of changes.

Automation does not eliminate change management. It amplifies both good and bad decisions. A script can configure one device incorrectly; an orchestration system can configure hundreds incorrectly in seconds. Candidates should therefore understand dry runs, validation, test environments, peer review, idempotency, and post-change verification.

Progressing from associate automation into professional depth

The current Cisco automation path continues beyond 200-901. 350-901 AUTOCOR is the current core exam for CCNP Automation and CCIE Automation, with a focus on designing, deploying, and managing network automation systems, including infrastructure as code, operations, and AI in automation.

Current concentration options include 300-435 ENAUTO for enterprise automation and 300-635 DCNAUTO for data-center network automation. Those exams expect deeper implementation skill than the associate level, but the progression is natural: reliable software practices, structured APIs, model-driven interfaces, and automation safety remain foundational.

This is where the 2026 naming change helps. The old DevNet brand emphasized the developer community, while the CCNA/CCNP Automation structure makes the relationship to operational network automation more explicit. Historical DevNet material can still be technically valuable when it matches the current v1.1 objectives, but current certification planning should use the new names.

What strong 200-901 preparation looks like. A candidate should build small working automations rather than study APIs only as diagrams. Write a Python script that reads JSON. Call a safe public or lab API. Handle a failed authentication response. Parse a list of objects. Use Git to track a change. Build a containerized sample application. Query a model-driven interface in a lab. Create an infrastructure-as-code plan and inspect the proposed change before applying it.

Each exercise should include failure. What happens if the API returns unexpected data? What if the token expires? What if one device is unreachable? What if the script is run twice? What if the desired state conflicts with an existing configuration? Automation engineering is largely the work of making repeatable processes behave safely when reality is messy.

Exam readiness means being able to connect software concepts to network outcomes. The candidate understands code, data formats, APIs, deployment, security, and infrastructure automation as one workflow rather than as disconnected topics. They also understand the current identity of the exam: 200-901 CCNAAUTO v1.1 earns CCNA Automation in Cisco's 2026 certification portfolio.

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