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A current guide to the post-DevNet 350-901 AUTOCOR v2.0 exam, including 120-minute Pearson VUE timing, English/Japanese delivery, CCNP and CCIE Automation mapping, and the four current domains.
AUTOCOR is the current 350-901 core exam for Cisco professional and expert automation paths. Preparation should shift from legacy DEVCOR materials to network automation design, infrastructure as code, operations, and AI-assisted automation workflows.
Use these points before scheduling 350-901 or updating older DevNet Professional/DEVCOR study plans.
Cisco now lists 350-901 as AUTOCOR v2.0, Designing, Deploying, and Managing Network Automation Systems.
The former DevNet Professional core framing has moved into the CCNP Automation and CCIE Automation path.
Cisco lists AUTOCOR as a 120-minute exam scheduled through Pearson VUE.
Cisco lists English and Japanese as available exam languages for AUTOCOR.
Network Automation and Infrastructure as Code are each 30%; Operations and AI in Automation are each 20%.
Preparation should combine Ansible, Terraform, RESTCONF/YANG, Python, CI/CD, telemetry, validation, secure coding, and AI-assisted automation review.
The old DevNet Professional Core label can point candidates to outdated DEVCOR assumptions. In May 2026, the current 350-901 core exam is AUTOCOR v2.0 for CCNP Automation and CCIE Automation.
Network Automation and Infrastructure as Code together account for 60% of the current topics. Practice building solutions with Ansible, Terraform, RESTCONF/YANG, Python, REST APIs, Git, GitLab CI/CD, CML, Docker Compose, and source-of-truth data.
Operations requires model-driven telemetry, logging strategies, event troubleshooting, pyATS validation, TLS certificate handling, and secure coding practices for network automation systems.
AI in Automation is 20% of AUTOCOR v2.0. Review AI-assisted code risks, security risks in AI-based automation, MCP server concepts with Python FastMCP, conversational agents, and ways to evaluate AI recommendations.
Use this Cisco CCNP Automation Core (AUTOCOR 350-901 v2.0) exam help page for exam-specific context, then compare the broader online exam help services page or contact HiraEdu if you need a direct handoff. This page stays focused on Cisco CCNP Automation Core (AUTOCOR 350-901 v2.0) while the linked service pages cover broader exam support options.
Cisco's professional automation track has moved from the former DevNet Professional/DEVCOR framing to CCNP Automation. The current 350-901 AUTOCOR v2.0 exam, Designing, Deploying, and Managing Network Automation Systems, is a 120-minute Pearson VUE exam available in English and Japanese. Passing AUTOCOR earns the Cisco Certified Automation Specialist - Core credential and meets the core exam requirement for CCNP Automation and CCIE Automation. Cisco's current topic weights are Network Automation 30%, Infrastructure as Code 30%, Operations 20%, and AI in Automation 20%. Candidates should prepare for Ansible, Terraform, RESTCONF/YANG, Python automation, REST API consumption, Git workflows, GitLab CI/CD, Cisco Modeling Labs, Docker Compose, source-of-truth integration, model-driven telemetry, pyATS validation, TLS certificates, secure coding, AI-assisted code development, MCP/FastMCP concepts, conversational agents, and validating AI recommendations.
Cisco now lists the current 350-901 core exam as AUTOCOR v2.0, Designing, Deploying, and Managing Network Automation Systems, for CCNP Automation and CCIE Automation.
Cisco lists AUTOCOR 350-901 v2.0 as a 120-minute exam scheduled through Pearson VUE.
Cisco lists English and Japanese as available exam languages for AUTOCOR 350-901 v2.0.
The current Cisco topic weights are Network Automation 30%, Infrastructure as Code 30%, Operations 20%, and AI in Automation 20%.
Shift the plan toward the current Cisco blueprint: Ansible, Terraform, RESTCONF/YANG, Python automation, REST API edge cases, GitLab CI/CD, CML, Docker Compose, source-of-truth integration, telemetry, pyATS, secure coding, and AI automation concepts.
Use Cisco's current AUTOCOR 350-901 v2.0 page before relying on older DEVCOR or DevNet Professional Core resources.
Build a study calendar around Network Automation 30%, Infrastructure as Code 30%, Operations 20%, and AI in Automation 20%.
Practice Ansible, Terraform, RESTCONF/YANG, Python, REST APIs with pagination and rate limiting, persistent authentication, and business-driven tool selection.
Work through Git workflows, GitLab CI/CD failures, CML simulation, Docker Compose, source-of-truth data, telemetry, pyATS validation, certificates, and secure coding.
Study AI-assisted code development risks, MCP/FastMCP network information servers, LLM-powered conversational agents, and validation of AI recommendations.
Use the guide to self-serve, or talk to a coordinator if you need help mapping timelines, official requirements, or troubleshooting day-of logistics.
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