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Exam Code: 701-100
Exam Name: Linux Professional Institute DevOps Tools Engineer Exam 701
Updated: May 30, 2026
Q & A: 60 Questions and Answers
701-100 Free Demo download
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These are the following steps for registering for the 700-100 exam.
Step 3: Apply for the 700-100.
Step 1: Go to the 700-100 Official Site
Step 2: Read the instructions carefully, follow prompts.
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To know the course content so that aspirants can prepare for the exam is a must. 700-100 exam dumps and 700-100 practice exams will include the following topics:
Modern Software Development
Candidates should be able to design software solutions suitable for modern runtime environments. Candidates should understand how services handle data persistence, sessions, status information, transactions, concurrency, security, performance, availability, scaling, load balancing, messaging, monitoring and APIs. Furthermore, candidates should understand the implications of agile and DevOps on software development.
Design software to be deployed to cloud services
Understand common application security risks and ways to mitigate them
Design software to be run in containers
Understand aspects of data storage, service status and session handling
Understand and design service based applications
Understand the concept of agile software development
Awareness of risks in the migration and integration of monolithic legacy software
Understand the concept of DevOps and its implications for software developers and operators
Understand common API concepts and standards
Container Usage
Description: Candidates should be able to build, share and operate Docker containers. This includes creating Dockerfiles, using a Docker registry, creating and interacting with containers as well as connecting containers to networks and storage volumes. This objective covers the feature set of Docker version 17.06 or later.
Connect container to Docker networks
Understand the Docker architecture
Use existing Docker images from a Docker registry
Use Docker volumes for shared and persistent container storage
Upload images to a Docker registry
Operate and access Docker containers
Create Dockerfiles and build images from Dockerfiles
Container Deployment and Orchestration
Description: Candidates should be able to run and manage multiple containers that work together to provide a service. This includes the orchestration of Docker containers using Docker Compose in conjunction with an existing Docker Swarm cluster as well as using an existing Kubernetes cluster. This objective covers the feature sets of Docker Compose version 1.14 or later, Docker Swarm included in Docker 17.06 or later and Kubernetes 1.6 or later.
Create and run Docker Compose Files (version 3 or later)
Understand the application model of Docker Compose
Understand the architecture and functionality of Docker Swarm mode
Run containers in a Docker Swarm, including the definition of services, stacks and the usage of secrets
Define and manage a container-based application for Kubernetes, including the definition of Deployments, Services, ReplicaSets and Pods
Understand the architecture and application model Kubernetes
Container Infrastructure
Description: Candidates should be able to set up a runtime environment for containers. This includes running containers on a local workstation as well as setting up a dedicated container host. Furthermore, candidates should be aware of other container infrastructures, storage, networking and container specific security aspects. This objective covers the feature set of Docker version 17.06 or later and Docker Machine 0.12 or later.
Use Docker Machine to setup a Docker host
Create and manage Docker volumes
Understand the concepts of service discovery
Basic feature knowledge of CoreOS Container Linux, rkt and etcd
Awareness of Flocker and flannel
Understand the security risks of container virtualization and container images and how to mitigate them
Understand Docker networking concepts, including overlay networks
Create and manage Docker networks
Understand Docker storage concepts
Configuration Management
Candidates should be able to use Ansible to ensure a target server is in a specific state regarding its configuration and installed software. This objective covers the feature set of Ansible version 2.2 or later.
Create, maintain and run Ansible playbooks, including tasks, handlers, conditionals, loops and registers
Awareness of Ansible containers
Set and use variables
Understand how Ansible interacts with remote systems
Understand the principles of automated system configuration and software installation
Awareness of Ansibles features for non-Linux systems
Create and maintain inventory files
Write Jinja2 templates, including using common filters, loops and conditionals
Manage SSH login credentials for Ansible, including using unprivileged login accounts
Understand and use Ansible roles and install Ansible roles from Ansible Galaxy
Understand and use important Ansible tasks, including file, copy, template, ini_file, lineinfile, patch, replace, user, group, command, shell, service, systemd, cron, apt, debconf, yum, git, and debug
Awareness of dynamic inventory
Maintain secrets using Ansible vaults
This qualification might not have any prerequisites. However, a 2d qualification within side the candidate's number one subject of specialization, which includes LPIC-1 or a developer certification, is fairly advised.
Reference: https://www.lpi.org/our-certifications/exam-701-objectives
When it comes to the facts for 701-100 validation, it consists of 60 questions that the candidate has to finish within 90 minutes. The questions are in the form of fill-in-the-blanks and multiple-choices. You have to pay a fee of $200 to register for the exam in the US. If you live in any other region you can check the price by mentioning your country. The official test can be taken in the Pearson VUE test center and it is available in Japanese and English. The people working in the DevOps field should have an understanding of cloud services and software applications. In this test, you will also be assessed upon your knowledge about how tools support the DevOps collaboration.
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