Lesson proof
Concept, demo, checklist, lab, and assignment evidence.
DevOps / Cloud / DevOps Engineer
Master CI/CD, infrastructure as code, containers, observability, release strategies, automation, reliability, and cloud delivery practices.
Platform-wide module outputs
Concept, demo, checklist, lab, and assignment evidence.
Requirement, artifact, validation, risk note, and interview story.
Role-specific skill statement linked to a score or artifact.
Submitted evidence can support dashboard, readiness, and career exports.
Open materials
Certification objective coverage
This is the track-level audit view for blueprint alignment. Exact exam wording should still be checked against the current official provider guide before public exam-code claims are made.
devops-engineer.devops-fundamentals.01 / 14% weight
Implementation proof
Evidence requirements
devops-engineer.git-and-branching-strategies.02 / 14% weight
Implementation proof
Evidence requirements
devops-engineer.ci-cd-pipelines.03 / 14% weight
Implementation proof
Evidence requirements
devops-engineer.infrastructure-as-code.04 / 14% weight
Implementation proof
Evidence requirements
devops-engineer.docker-container-engineering.05 / 14% weight
Implementation proof
Evidence requirements
devops-engineer.containers-and-deployment.06 / 14% weight
Implementation proof
Evidence requirements
devops-engineer.observability-and-reliability.07 / 16% weight
Implementation proof
Evidence requirements
Test readiness
Practice every domain in this track with exam-style questions, answer keys, and explanations.
Open mock testMost in-demand certification materials
AWS
DevOps engineers automating delivery, observability, reliability, and cloud operations on AWS.
DOP-C02 was verified against the official AWS certification page on 2026-06-24. Keep this source check on the 90-day review cadence.
AWS official-source stamp
Professional / DOP-C02
Official domain weighting
Lab focus
Readiness gates
Microsoft
Engineers building Azure DevOps, GitHub, CI/CD, testing, security, and release workflows.
Microsoft DevOps Engineer Expert (AZ-400) is mapped to platform lessons and labs, but still needs a dated official-source review.
Docker / Open Container tooling
DevOps engineers who need repeatable image builds, scan gates, registry publishing, promotion, rollback, and deployment evidence.
Docker CI/CD and secure image delivery is mapped to platform lessons and labs, but still needs a dated official-source review.
Certification provider connections
AWS Certification
Use the AWS Certification account to review exam guides, book exams, manage score reports, and share verified badges.
Booking partner: Pearson VUE or PSI, depending on exam and region
Microsoft Learn Credentials
Connect the learner's Microsoft Learn profile before booking so exam discounts, transcripts, renewals, and badges stay together.
Booking partner: Pearson VUE
Docker Training and Certification
Connect container build, image security, Compose, registry, and deployment evidence to certification progress.
Booking partner: Docker certification partner
01 Match
Map each Daskerel track to the official provider, exam code, registration page, and verification route.
02 Prepare
Use provider objectives with Daskerel lessons, mock exams, labs, and evidence packs before booking.
03 Book
Send learners to the official scheduling partner while keeping target dates and next actions in the dashboard.
04 Verify
Capture certificate URL, badge, expiry, renewal plan, and portfolio proof after the learner passes.
Study plan
Start with source control, pull requests, branching models, and repeatable delivery workflows.
Practise building CI/CD pipelines that test, scan, package, deploy, and roll back safely.
Connect automation with monitoring, incident learning, and continuous improvement.
Hands-on labs
Run a Git workflow lab: feature branch, pull request, code review checklist, merge conflict resolution, semantic commit message, and release tag.
Design a CI/CD pipeline from commit to production approval.
Create a Docker image build and scan checklist with tags, registry evidence, and rollback steps.
Map the observability signals needed for a production web service.
Track learning assets
Practice questions
Branches and pull requests create a controlled review path for testing, security checks, discussion, rollback context, and release traceability before changes reach production.
To automate build, test, package, security checks, deployment, and release feedback so changes can move safely and repeatably.
Because production changes can fail; a rollback or recovery path reduces downtime and makes releases safer.