CCNA Automation vs JNCIA-DevOps: Network Automation Paths
The old question “Cisco DevNet Associate or JNCIA-DevOps—which is tougher?” needs an update before it can be answered. Cisco changed the DevNet certification family on February 3, 2026. The associate track is now branded CCNA Automation, and the current 200-901 CCNAAUTO exam validates network automation, software development, APIs, application deployment, security, and infrastructure automation on Cisco platforms. Juniper’s current associate automation credential remains JNCIA-DevOps, but its exam also changed: JN0-224 replaced JN0-223 in February 2025.
Both credentials sit at the intersection of networking and software, but they are not duplicates. Cisco’s associate automation path is broader across software-development practices and Cisco platform APIs. Juniper’s JNCIA-DevOps is tightly centered on automating Junos environments with XML, NETCONF, JSON, YAML, Python, PyEZ, Jinja2, RPCs, and REST. Difficulty therefore depends heavily on your starting skills.
Cisco did not abandon the skills DevNet was created to teach. It reorganized them. Active DevNet Associate holders were mapped into CCNA Automation when the new branding launched, and the 200-901 exam code remains the associate-level automation exam. The practical message for candidates is to follow the current CCNA Automation blueprint rather than studying an old DevNet outline by name.
Cisco lists the current exam as 120 minutes and US$300, with no formal prerequisite. The scope includes software design and development, APIs, Cisco platforms, application deployment and security, and infrastructure automation. A candidate can therefore encounter code behavior, API semantics, authentication, data formats, software practices, automation workflows, and Cisco-specific platform concepts in the same study plan.
ExamSnap’s current Cisco certification roadmap reflects this change by treating automation as a first-class CCNA/CCNP/CCIE family rather than a side branch. That context matters if you plan to continue beyond associate level.
Juniper’s JNCIA-DevOps is designed for networking professionals with introductory automation knowledge. The current JN0-224 exam is 90 minutes with 65 multiple-choice questions and no prerequisite. Juniper’s published objectives cover the Junos automation stack and DevOps concepts, NETCONF and XML, data serialization with JSON and YAML, Python and PyEZ, Jinja2, JSNAPy, RPCs, device configuration/state handling, and the Junos REST API.
This makes the credential narrower in vendor scope but not trivial. A candidate who knows Python yet has never worked with XML namespaces, XPath, NETCONF, Junos RPCs, or PyEZ may find the exam unfamiliar. Conversely, a Junos engineer who already uses these tools may find the objective map very concrete and predictable.
A traditional network engineer often finds the software-development portion of CCNA Automation to be the main stretch. Version control, testing concepts, Python behavior, API design, JSON parsing, authentication flows, and application deployment can feel less intuitive than routing or switching. The solution is not to memorize developer vocabulary. Build small applications and scripts until software concepts become operational habits.
A software developer may experience the opposite problem. Code and APIs feel familiar, but infrastructure state, network behavior, device models, authentication to platforms, and the consequences of a configuration change are less familiar. Automation without network understanding is risky because code can distribute a wrong change faster than a person could make it manually.
The strongest preparation therefore combines both sides. For Cisco, practice against APIs and sandboxes while understanding the infrastructure being automated. For Juniper, build scripts that retrieve operational state, render configuration, commit safely, validate the result, and handle failures.
Both paths reward comfort with structured data, API interaction, scripting, and network automation fundamentals. JSON appears in both worlds; Python is useful in both; version control and repeatability matter in both. But Juniper explicitly emphasizes its NETCONF/XML stack and PyEZ ecosystem, while Cisco spans a broader set of platform and application-development concepts.
That difference can shape which credential produces more immediate value. If your daily work is Junos automation, JNCIA-DevOps maps closely to the tools you will use. If you automate across Cisco networking, security, collaboration, or computing platforms—or want a broader developer-plus-infrastructure foundation—CCNA Automation may fit better.
Data-model literacy is another shared skill. Automation becomes much easier when you can distinguish the intended state, the API or schema that represents it, and the device-specific command syntax underneath. Learn to inspect payloads rather than treating them as magic strings. A candidate who can explain why a field exists, what type it expects, and how a failed response should be handled is building competence that transfers well beyond either vendor.
A good comparison exercise is to implement the same operational task in both ecosystems. Retrieve interface state, identify an interface that violates a rule, generate the intended correction, apply it in a lab, and verify the result. On Cisco platforms, that may involve a REST API, controller platform, model-driven interface, or automation tool. On Junos, it may use NETCONF, PyEZ, an RPC, or REST.
Then add failure handling. What happens when authentication fails, the device returns malformed data, one node is unreachable, the candidate configuration fails validation, or only half the intended devices change? Real automation competence is defined by controlled failure as much as by the happy path.
A Cisco-focused lab sequence can start with a small Python program that calls an API, parses JSON, handles authentication errors, and writes a useful result. The next step is to query a network controller or device platform, compare actual state with an intended value, and make an idempotent change only when needed. Add version control and a basic test so the exercise reflects a software workflow rather than a one-off script.
A Juniper-focused sequence can start with NETCONF retrievals and XML parsing, move to PyEZ facts and configuration utilities, then use Jinja2 to render candidate configuration from structured data. Follow that with commit checks, rollback handling, and a validation step that proves the intended operational state. The point is not to memorize every library method; it is to understand the lifecycle from data input to safe device change and verification.
Candidates sometimes choose by perceived prestige or difficulty instead of career relevance. A harder exam is not automatically a better credential for you. Choose the ecosystem where the knowledge can be applied. If you work in a multi-vendor environment, you may eventually want both because the transferable automation concepts become easier to see after learning two implementations.
For Cisco candidates, the current associate automation exam is the 200-901 automation exam. For Juniper candidates, the current exam is JN0-224; older JN0-223 material should be checked against the current blueprint before it is used for exam-specific preparation. Older resources can still explain Python, JSON, NETCONF, or DevOps concepts, but version-specific objectives require current verification.
Progression also differs. Cisco now presents automation as a full CCNA, CCNP, and CCIE family, so the associate credential can feed directly into deeper Cisco automation work. Juniper’s associate credential can support broader Junos and automation development even when the next career step is not another DevOps-branded exam. Look at the job descriptions you want: if they mention Catalyst Center, Meraki, Cisco APIs, model-driven telemetry, or Cisco platform automation, the Cisco path is more directly aligned; if they emphasize Junos, PyEZ, NETCONF, and Juniper operations, the Juniper path is the clearer signal.
Multi-vendor engineers can deliberately use the second ecosystem to test whether they learned principles or memorized one vendor’s syntax. Reimplementing inventory collection, configuration rendering, state validation, and rollback in another platform exposes which ideas transfer—data models, idempotency, error handling, source control—and which are vendor-specific. That is often more valuable than arguing about which associate exam has the harsher question bank.
Choose CCNA Automation if you want broader Cisco platform automation and software-development coverage, especially if your role combines APIs, application logic, infrastructure as code, and operational automation. Choose JNCIA-DevOps if you want a focused Junos automation foundation built around NETCONF/XML, PyEZ, Python, REST, and Juniper device workflows.
Whichever path you choose, schedule preparation around measurable outputs rather than reading hours. By the end of a study week you should be able to show a script, an API transaction, a rendered configuration, a validation check, or a controlled rollback—not merely a completed chapter. Keep a short error log that separates programming mistakes, data-model mistakes, authentication failures, and network-logic mistakes. That evidence makes the next lab more targeted and mirrors the troubleshooting discipline automation engineers use in production.
If you are unsure, run a two-week lab test. Spend one week with Cisco automation labs and one week with Juniper Open Learning. Track where you struggle: programming syntax, data models, API behavior, device concepts, or vendor-specific tools. The credential that challenges the skills you actually need may be the better next step even if it is not universally “harder.”
The important 2026 correction is that the comparison is no longer DevNet versus JNCIA-DevOps in a branding sense. It is Cisco’s current CCNA Automation path versus Juniper’s current JNCIA-DevOps path. Both validate the same industry shift: modern network engineers increasingly need to treat infrastructure as something they can query, test, automate, and manage through software.
