CompTIA AutoOps+ AT0-001 (V1) Exam Objectives
This page translates the CompTIA AutoOps+ AT0-001 (V1) exam objectives into clear, practical language. You’ll see what each domain covers, realistic task themes, and a focused study plan that turns objectives into repeatable labs, PBQs, and job-ready automation skills. The blueprint emphasizes coding for automation, system configuration, CI, and CD.
Last updated: November 12, 2025. Always verify against the official CompTIA blueprint before your exam.
TL;DR: AutoOps+ validates that you can write and version code for automation, configure systems at scale, run CI pipelines, and deliver continuously—while following security best practices. Domains and weights: 1) Automation Coding Concepts (31%) 2) System Configuration (25%) 3) Continuous Integration (24%) 4) Continuous Delivery (20%). Question types include multiple-choice and performance-based; CompTIA recommends 2–3 years in IT ops (network/cloud/systems) and suggests Network+, Linux+, Cloud+, Server+ as helpful background.
Table of Contents
- What Is Covered on CompTIA AutoOps+ AT0-001?
- Objective-By-Objective Breakdown (with examples)
- Who Is AutoOps+ For?
- Study Plan: How to Master the AT0-001 Objectives
- Free Checklist & Next Steps
- Frequently Asked Questions
What Is Covered on CompTIA AutoOps+ AT0-001?
AutoOps+ certifies the ability to:
- Use coding techniques and best practices to implement automation across the enterprise.
- Configure and provision systems (including virtual networks, certificates, ACLs) using config management and APIs.
- Manage and troubleshoot CI pipelines (secrets/artifacts, orchestration, triggers, definitions).
- Deliver continuously using canary/blue-green/rolling strategies with testing and validation gates.
- Adhere to security best practices throughout pipelines and delivery.
Objective-By-Objective Breakdown (with examples)
1) Automation Coding Concepts — 31%
Ship reliable automation code that’s testable and versioned.
- Coding basics for ops: variables (scope), conditionals, loops, parameters, functions, app logs, regex, and data types (primitive, JSON, YAML). Common CLI helpers: grep, awk, sed, jq, PowerShell cmdlets.
- Dependency management: Dockerfile, requirements.txt, packages, libraries. Source control with Git: remote (fetch/pull/push), local (add/commit), config; semantic versioning; branching (feature/release), naming conventions; commit lifecycle (hooks, formatting, linting, secrets detection).
- IaC concepts: reusability, immutability, declarative vs. imperative, idempotency. Troubleshoot code-lifecycle issues: syntax/undefined variables, runtime errors, Git problems (merge conflicts, auth, detached HEAD).
2) System Configuration — 25%
Deploy and maintain consistent configurations at scale.
- Config management techniques: drift detection/remediation, state management; workload configuration (certificates, ACLs).
- Virtual network configuration: subnets, routers, load balancers, firewalls, route tables, DNS. Compare automation approaches: remote (WinRM/SSH/agent) vs local (scripts; foreground/background); declarative vs. imperative; provisioning push vs. pull; event-driven automation (notifications, queues, FaaS).
- Work with REST APIs for CRUD: headers; methods (GET/POST/DELETE/PATCH/PUT); tools curl, wget, Postman; interpret 2xx/3xx/4xx/5xx responses. Troubleshoot system-config issues: API/agent comms, app failures, cert issues, and config-file syntax for INI/YAML/JSON.
3) Continuous Integration — 24%
Make builds reproducible, secure, and observable.
- CI environment: secrets management (vaults, revocation, leases, tokenization, Zero Trust, dynamic rotation); artifact management (registries, authN/Z, versioning, immutability, external repos, SBOM); task runners and environment provisioning.
- Workflow management: orchestration (parallel vs sequential, dependencies, conditional execution), auto-rollback, failure handling; pipeline enhancements (security scanning, containerization, code quality scanning, AI-based log analysis).
- Manage basic automation pipelines: hooks/triggers (webhooks, ChatOps); triggers (push/manual/scheduled) and Git variables (tag/branch/commit); pipeline definitions (Jenkinsfile, gitlab-ci.yml, github-actions.yml).
4) Continuous Delivery — 20%
Release with confidence and clear SLOs.
- Delivery strategies: canary, blue-green, rolling, in-place. QA testing: load, regression, integration. Validation/remediation: smoke tests, post-deployment testing, hotfixes.
- Service levels & operations: uptime, SLOs, SLAs, MTTR, MTBF, feedback loops.
- Provider connectivity security: secure CLI configuration and connection methods (as specified by provider docs).
Who Is AutoOps+ For?
This certification targets systems, cloud, and network administrators/engineers who automate builds, configuration, CI pipelines, and releases. It’s ideal for Ops pros leveling up into DevOps/Platform/SRE workflows. CompTIA suggests 2–3 years in a core IT ops role and background with Network+/Linux+/Cloud+/Server+.
Study Plan: How to Master the AT0-001 Objectives
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Build a tiny, real pipeline
Create a repo with a simple app + Dockerfile. Add a Jenkinsfile / gitlab-ci.yml / GitHub Actions workflow that runs lint/tests → builds image → publishes to an artifact registry → posts status to ChatOps. Track versions with semantic tags. - Practice config at scale
Use config management to enforce a baseline (users, ACLs, certs). Add drift detection and an auto-remediation step. Validate via REST calls with curl and verify 2xx vs 4xx paths. - Secure CI the right way
Store secrets in a vault with lease/rotation. Generate an SBOM as part of each build. Enforce code-quality and security scans; block merges on failure. - Deliver safely
Implement blue-green and canary releases; add smoke tests and a one-click rollback. Track SLO/SLA metrics and MTTR/MTBF from incidents. - Troubleshoot like a pro
Break things on purpose (merge conflict, bad YAML, expired cert, API 401/503, mis-tagged branch). Capture root cause, the fix, and a prevention note each time.
