Exam Code: 701-200
Exam Name: DevOps Tools Engineer
Price: $68.00 $58.88
Exam Questions: 54 Q&As
Last Updated: 2026-10-15
Prepare for the 701-200 exam with focused practice covering modern software engineering, containers, Kubernetes, CI/CD, security, metrics, logging, and distributed tracing.
The Linux Professional Institute DevOps Tools Engineer certification validates the practical skills needed to use open-source tools that connect software development and systems operations.
Version 2.0 of the DevOps Tools Engineer exam tests how tools support a complete delivery workflow. Candidates must understand application architecture, source control, CI/CD, container images and runtimes, Kubernetes, Helm, cloud-native security, Prometheus metrics, logging stacks, and OpenTelemetry tracing.
The exam is tool-oriented but not limited to command recall. Many questions ask what a configuration key does, where state belongs, which tool fits a workflow, or how a design affects security and operations. The strongest preparation combines short command-line labs with careful review of file formats and platform concepts.
LPI sets no formal prerequisite. It recommends an active certification or comparable knowledge in a primary specialty such as Linux administration or software development. You should be comfortable with Linux commands, Git, YAML, networking, storage, and basic application delivery before beginning focused 701-200 study.
The detailed objectives have weights that total 60, matching the 60 exam questions. A higher-weight objective is likely to contribute more questions. The scaled passing score is 500; it is not a fixed percentage because forms and question difficulty can vary.
The official version 2.0 objectives are organized into four topics. Build your study plan from the detailed objective weights rather than dividing time equally among the four headings.
Review cloud-native application design, APIs, persistent state, service architecture, agile and DevOps practices, cloud service models, Git, CI/CD, GitOps, deployment strategies, software composition, dependency management, and open-source licensing.
Operate Docker and Podman containers, networks, and volumes; define multi-container services with Compose; and build OCI-compatible images with Dockerfiles or Containerfiles. Pay close attention to build context, image layers, runtime configuration, registries, and persistent storage.
Understand control-plane components and use kubectl to inspect and manage resources. Study workload and service objects, configuration and secrets, storage, scheduling, scaling, rolling updates, Helm charts, releases and values, plus awareness of Kustomize, Flux CD, and Argo CD.
Cover cloud-native threats, supply-chain risk, authentication, authorization, certificates, TLS, and common web vulnerabilities. Connect monitoring concepts across Prometheus and exporters, open-source log stacks, and distributed tracing with OpenTelemetry.
Image build versus container runtime: Dockerfile instructions create an image, while Compose and runtime options define how containers run together. Container path versus persistent storage: an application may write to a known path, but that path must be backed by durable storage if the data must survive replacement. Metrics, logs, and traces: metrics show trends, logs record events, and traces connect work across service boundaries.
Days 1 and 2: application design, APIs, storage services, Git, and licensing. Days 3 and 4: CI/CD, GitOps, deployment patterns, and artifact management. Days 5 and 6: Docker, Podman, Compose, image builds, networks, and volumes. Days 7 and 8: Kubernetes resources, kubectl, and Helm. Day 9: security, Prometheus, logging, and OpenTelemetry. Day 10: complete a timed mixed set and repeat every command or configuration concept missed.
These questions are presented as independent practice material and do not represent confidential LPI exam content.
Where should containerized applications store persistent data such as user-uploaded files or billing information? (Choose two.)
Correct answers: C and D
Explanation: Durable application data can live in an external managed service or under a defined container path mounted to a volume or other persistent storage. Both approaches separate data lifetime from the replaceable container instance.
DevOps checkpoint: A path inside the container is useful only when durable storage backs it. Data left solely in the writable container layer disappears when that container is removed.
Common mistake: Assuming an exclusive file lock makes data persistent. Locking controls concurrent access, not storage lifetime.
Why the other options are wrong: A remains tied to the container layer unless a volume is specified. B loses live state when the process stops and relies on manual export. E couples the application and database lifecycles in one container.
What is specified by the build key in a service definition in a Docker Compose file?
Correct answer: D
Explanation: The build section tells Compose how to build the service image, including the build context, Dockerfile location, and optional build arguments.
DevOps checkpoint: Distinguish build from image. The first describes image construction; the second identifies the image to run or tag.
Common mistake: Selecting container startup because the key appears inside a service definition. Startup behavior is controlled by other service and image settings.
Why the other options are wrong: A relates to command or entrypoint settings. B is handled through registry configuration and authentication. C is outside the Compose service definition. E belongs to CI/CD tooling.
Which key can exist at the top level of a Docker Compose file?
Correct answer: B
Explanation: The top-level volumes section declares named volumes that services can reference. Other common top-level sections include services, networks, configs, and secrets.
DevOps checkpoint: Top-level declarations define reusable project resources; service-level entries attach or configure those resources for a specific container.
Common mistake: Choosing a generic storage term that sounds reasonable but is not part of the Compose specification.
Why the other options are wrong: A, C, D, and E are not valid standard top-level Compose keys.
Which statements are true about S3-compatible object storage systems such as MinIO? (Choose two.)
Correct answers: A and D
Explanation: S3-compatible services can apply CORS configuration to browser requests and expose authorized objects through HTTP endpoints, making website use possible when permissions allow it.
DevOps checkpoint: Object stores use keys rather than a traditional file system. Slashes may appear in keys and create a folder-like presentation without forming real directories.
Common mistake: Confusing object storage with an Apache web server or executable file system.
Why the other options are wrong: B is false because keys may contain slashes. C describes Apache configuration behavior, not S3 object semantics. E is false because retrieving an object does not execute it on the storage server.
What is the purpose of a .dockerignore file?
Correct answer: D
Explanation: .dockerignore patterns exclude matching files and directories from the build context. This can reduce transfer size and prevent unnecessary or sensitive local files from entering the build process.
DevOps checkpoint: The file filters the build context, not instructions inside the Dockerfile and not files already present in a parent image.
Common mistake: Treating .dockerignore like a conditional mechanism for Dockerfile lines.
Why the other options are wrong: A does not describe build-context filtering. B and C concern runtime storage and networking. E cannot remove inherited image content by filtering the local build context.
Content is reviewed when LPI changes the version 2.0 objectives or when important tools and terminology in the published scope change. Check the product page for its latest update date.
Yes. The five questions above demonstrate single-answer and multiple-answer formats with explanations, practical checkpoints, common mistakes, and distractor analysis.
The exam includes multiple-choice and fill-in-the-blank questions. Command names, options, file names, configuration keys, and common syntax should be learned precisely.
No. LPI lists no formal prerequisite, although it strongly recommends relevant administration or development knowledge at a level comparable to LPIC-1.
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Review application design, Git, CI/CD, Docker, Podman, Compose, Kubernetes, Helm, cloud-native security, metrics, logs, and traces.
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