LINUX PROFESSIONAL INSTITUTELPI DevOps Tools Engineer
The LPI DevOps Tools Engineer certification validates your ability to design, deliver, and operate software using modern DevOps practices and open source tooling. It is aimed at software developers and system administrators who bridge the gap between development and operations. Earning it demonstrates you can build stable, scalable, and secure services through collaborative, automated workflows.
496 practice questions · Updated 2026-07-30
4Domains
15Objectives
159Concepts
496Questions
DEVOPS-TOOLS-ENGINEER Curriculum
Every domain, objective, and concept the DEVOPS-TOOLS-ENGINEER exam measures.
- Agile and DevOps principles
- Continuous Integration (CI)
- Continuous Delivery (CD)
- Continuous Deployment
- Version control systems
- Trunk-based development
- Git branching strategies
- Automated testing
- Test-driven development (TDD)
- Behavior-driven development (BDD)
- Infrastructure as Code (IaC)
- Configuration management
- Microservices architecture
- Containerization
- Orchestration
- Release management
- Monitoring and logging
- Feedback loops
- Version Control Systems
- Git Fundamentals
- Git Workflows
- Continuous Integration (CI)
- Continuous Delivery (CD)
- CI/CD Pipeline Components
- Containerization Concepts
- Container Orchestration
- Infrastructure as Code (IaC)
- Configuration Management
- Artifact Repositories
- Monitoring and Logging
- Git repository management
- Branching and merging
- Staging and committing changes
- Remote synchronization
- Tagging releases
- Git workflows
- Collaboration via pull requests
- Repository hosting services
- Version control best practices
- CI/CD Fundamentals
- Version Control Integration
- Build Automation
- Test Automation in CI
- Artifact Management
- Deployment Strategies
- Environment Management
- Configuration Management
- Pipeline Orchestration
- Monitoring and Feedback
- Security in CI/CD
- CI/CD Best Practices
- Open Source Licensing Models
- License Compliance
- Software Composition Analysis
- Dependency Management
- License Compatibility
- Open Source Governance
- Container Lifecycle Management
- Container Image Management
- Container Networking
- Container Storage and Volumes
- Container Resource Limits
- Container Logging and Monitoring
- Container Security and Isolation
- Container Orchestration Basics
- Container Orchestration Fundamentals
- Kubernetes Architecture
- Deploying Applications on Kubernetes
- Scaling and Updating Applications
- Service Discovery and Networking
- Storage and Persistent Volumes
- Configuration and Secrets Management
- Monitoring and Logging in Orchestration
- Security in Container Orchestration
- Troubleshooting Orchestrated Workloads
- Containerfile/Dockerfile syntax
- Build context and .dockerignore
- Multi-stage builds
- Image layers and caching
- Build arguments and environment variables
- Image tagging and naming
- Pushing and pulling images
- Image size reduction techniques
- Security best practices in image building
- Building for multiple architectures
- Kubernetes Architecture Components
- Kubernetes API and Object Model
- Pods and Workload Controllers
- Services and Networking
- Storage and Volumes
- Configuration and Secrets
- Namespaces and Resource Quotas
- Cluster Security and RBAC
- Cluster Maintenance and Upgrades
- Troubleshooting and Logging
- Understand Kubernetes API basics
- Use kubectl for basic operations
- Manage namespaces
- Work with pods
- Work with deployments
- Work with services
- Work with configmaps and secrets
- Work with persistent volumes and claims
- Use labels and selectors
- Use annotations
- Manage resource quotas and limits
- Monitor and log resources
- Understand pod scheduling and node selection
- Perform rolling updates and rollbacks
- Use kubectl apply and declarative management
- Understand resource deletion and garbage collection
- Helm chart structure
- Helm chart creation
- Helm chart packaging
- Helm repository management
- Helm chart installation
- Helm release management
- Helm values and overrides
- Helm templating basics
- Helm dependency management
- Helm testing
- Helm security and best practices
- Cloud Security Fundamentals
- Identity and Access Management (IAM)
- Network Security in Cloud
- Data Encryption and Key Management
- Compliance and Governance
- Cloud Security Monitoring and Auditing
- Container and Kubernetes Security
- Supply Chain Security
- Incident Response in Cloud
- Security Automation and Orchestration
- Prometheus architecture and components
- Metrics collection and exposition formats
- PromQL queries and data selection
- PromQL aggregation and rate calculations
- Prometheus configuration for targets and scraping
- Service discovery and dynamic target management
- Alerting rules and Alertmanager integration
- Recording rules and rule evaluation
- Prometheus data model and storage
- Exporters and instrumentation
- Pushgateway for short-lived jobs
- Prometheus federation and high availability
- Troubleshooting and debugging Prometheus
- Log management fundamentals
- Log collection and forwarding
- Log storage and retention
- Log analysis and querying
- Log visualization and alerting
- Log security and compliance
- Tracing Fundamentals
- Trace Components
- Instrumentation
- Tracing Tools
- Trace Analysis
- Sampling Strategies
- Context Propagation
- Trace Correlation with Logs and Metrics
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for DEVOPS-TOOLS-ENGINEER, so none is invented.