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The first area covers Software Engineering and the concepts of modern software development, standard platform & components, continuous integration & continuous delivery, and source code management. The next tested part, Machine Deployment, includes the notions like Virtual Machine Deployment, system image creation, and cloud deployment. The third objective, Configuration Management, focuses on concepts such as features of Ansible and other configuration management tools. The fourth topic, namely Service Operations, consists of the concepts of IT operations and monitoring as well as Log Analysis and its management. The final tested scope has the terms related to container usage, infrastructure, and container orchestration and deployment.
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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.
Understand the concept of agile software development
Design software to be run in containers
Understand common application security risks and ways to mitigate them
Understand and design service based applications
Design software to be deployed to cloud services
Understand common API concepts and standards
Understand aspects of data storage, service status and session handling
Understand the concept of DevOps and its implications for software developers and operators
Awareness of risks in the migration and integration of monolithic legacy software
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.
Upload images to a Docker registry
Use existing Docker images from a Docker registry
Use Docker volumes for shared and persistent container storage
Understand the Docker architecture
Create Dockerfiles and build images from Dockerfiles
Operate and access Docker containers
Connect container to Docker networks
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.
Understand the architecture and application model Kubernetes
Understand the application model of Docker Compose
Create and run Docker Compose Files (version 3 or later)
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 functionality of Docker Swarm mode
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.
Basic feature knowledge of CoreOS Container Linux, rkt and etcd
Use Docker Machine to setup a Docker host
Understand the concepts of service discovery
Awareness of Flocker and flannel
Create and manage Docker networks
Understand the security risks of container virtualization and container images and how to mitigate them
Understand Docker storage concepts
Create and manage Docker volumes
Understand Docker networking concepts, including overlay networks
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.
Write Jinja2 templates, including using common filters, loops and conditionals
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
Manage SSH login credentials for Ansible, including using unprivileged login accounts
Awareness of Ansibles features for non-Linux systems
Understand and use Ansible roles and install Ansible roles from Ansible Galaxy
Awareness of Ansible containers
Create, maintain and run Ansible playbooks, including tasks, handlers, conditionals, loops and registers
Understand the principles of automated system configuration and software installation
Awareness of dynamic inventory
Set and use variables
Create and maintain inventory files
Understand how Ansible interacts with remote systems
Maintain secrets using Ansible vaults
Reference: https://www.lpi.org/our-certifications/exam-701-objectives
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| Section | Objectives |
|---|---|
| Topic 1: Continuous Integration and Continuous Delivery (CI/CD) | - CI/CD pipelines
|
| Topic 2: Containerization and Orchestration | - Kubernetes basics
|
| Topic 3: Configuration Management and Automation | - Infrastructure automation
|
| Topic 4: Monitoring and Operations | - System monitoring
|
| Topic 5: Software Development and Version Control | - Git fundamentals
|
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