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701-100 Exam Format | 701-100 Course Contents | 701-100 Course Outline | 701-100 Exam Syllabus | 701-100 Exam Objectives

Topic 701: Software Engineering


701.1 Modern Software Development (weight: 6)


Weight: 6





Description: 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.





Key Knowledge Areas:





Understand and design service based applications


Understand common API concepts and standards


Understand aspects of data storage, service status and session handling


Design software to be run in containers


Design software to be deployed to cloud services


Awareness of risks in the migration and integration of monolithic legacy software


Understand common application security risks and ways to mitigate them


Understand the concept of agile software development


Understand the concept of DevOps and its implications to software developers and operators


The following is a partial list of the used files, terms and utilities:





REST, JSON


Service Orientated Architectures (SOA)


Microservices


Immutable servers


Loose coupling


Cross site scripting, SQL injections, verbose error reports, API authentication, consistent enforcement of transport encryption


CORS headers and CSRF tokens


ACID properties and CAP theorem





701.2 Standard Components and Platforms for Software (weight: 2)


Weight: 2





Description: Candidates should understand services offered by common cloud platforms. They should be able to include these services in their application architectures and deployment toolchains and understand the required service configurations. OpenStack service components are used as a reference implementation.




Key Knowledge Areas:





Features and concepts of object storage


Features and concepts of relational and NoSQL databases


Features and concepts of message brokers and message queues


Features and concepts of big data services


Features and concepts of application runtimes / PaaS


Features and concepts of content delivery networks


The following is a partial list of the used files, terms and utilities:





OpenStack Swift


OpenStack Trove


OpenStack Zaqar


CloudFoundry


OpenShift








701.3 Source Code Management (weight: 5)


Weight: 5





Description: Candidates should be able to use Git to manage and share source code. This includes creating and contributing to a repository as well as the usage of tags, branches and remote repositories. Furthermore, the candidate should be able to merge files and resolve merging conflicts.





Key Knowledge Areas:





Understand Git concepts and repository structure


Manage files within a Git repository


Manage branches and tags


Work with remote repositories and branches as well as submodules


Merge files and branches


Awareness of SVN and CVS, including concepts of centralized and distributed SCM solutions


The following is a partial list of the used files, terms and utilities:





git


.gitignore








701.4 Continuous Integration and Continuous Delivery (weight: 5)


Weight: 5





Description: Candidates should understand the principles and components of a continuous integration and continuous delivery pipeline. Candidates should be able to implement a CI/CD pipeline using Jenkins, including triggering the CI/CD pipeline, running unit, integration and acceptance tests, packaging software and handling the deployment of tested software artifacts. This objective covers the feature set of Jenkins version 2.0 or later.





Key Knowledge Areas:





Understand the concepts of Continuous Integration and Continuous Delivery


Understand the components of a CI/CD pipeline, including builds, unit, integration and acceptance tests, artifact management, delivery and deployment


Understand deployment best practices


Understand the architecture and features of Jenkins, including Jenkins Plugins, Jenkins API, notifications and distributed builds


Define and run jobs in Jenkins, including parameter handling


Fingerprinting, artifacts and artifact repositories


Understand how Jenkins models continuous delivery pipelines and implement a declarative continuous delivery pipeline in Jenkins


Awareness of possible authentication and authorization models


Understanding of the Pipeline Plugin


Understand the features of important Jenkins modules such as Copy Artifact Plugin, Fingerprint Plugin, Docker Pipeline, Docker Build and Publish plugin, Git Plugin, Credentials Plugin


Awareness of Artifactory and Nexus


The following is a partial list of the used files, terms and utilities:





Step, Node, Stage


Jenkins SDL


Jenkinsfile


Declarative Pipeline


Blue-green and canary deployment


Topic 702: Container Management


702.1 Container Usage (weight: 7)


Weight: 7





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.





Key Knowledge Areas:





Understand the Docker architecture


Use existing Docker images from a Docker registry


Create Dockerfiles and build images from Dockerfiles


Upload images to a Docker registry


Operate and access Docker containers


Connect container to Docker networks


Use Docker volumes for shared and persistent container storage


The following is a partial list of the used files, terms and utilities:





docker


Dockerfile


.dockerignore








702.2 Container Deployment and Orchestration (weight: 5)


Weight: 5





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.




Key Knowledge Areas:





Understand the application model of Docker Compose


Create and run Docker Compose Files (version 3 or later)


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


Understand the architecture and application model Kubernetes


Define and manage a container-based application for Kubernetes, including the definition of Deployments, Services, ReplicaSets and Pods


The following is a partial list of the used files, terms and utilities:





docker-compose


docker


kubectl








702.3 Container Infrastructure (weight: 4)


Weight: 4





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.





Key Knowledge Areas:





Use Docker Machine to setup a Docker host


Understand Docker networking concepts, including overlay networks


Create and manage Docker networks


Understand Docker storage concepts


Create and manage Docker volumes


Awareness of Flocker and flannel


Understand the concepts of service discovery


Basic feature knowledge of CoreOS Container Linux, rkt and etcd


Understand security risks of container virtualization and container images and how to mitigate them

The following is a partial list of the used files, terms and utilities:





docker-machine


Topic 703: Machine Deployment


703.1 Virtual Machine Deployment (weight: 4)


Weight: 4





Description: Candidates should be able to automate the deployment of a virtual machine with an operating system and a specific set of configuration files and software.





Key Knowledge Areas:





Understand Vagrant architecture and concepts, including storage and networking


Retrieve and use boxes from Atlas


Create and run Vagrantfiles


Access Vagrant virtual machines


Share and synchronize folder between a Vagrant virtual machine and the host system


Understand Vagrant provisioning, including File, Shell, Ansible and Docker


Understand multi-machine setup


The following is a partial list of the used files, terms and utilities:





vagrant


Vagrantfile








703.2 Cloud Deployment (weight: 2)


Weight: 2





Description: Candidates should be able to configure IaaS cloud instances and adjust them to match their available hardware resources, specifically, disk space and volumes. Additinally, candidates should be able to configure instances to allow secure SSH logins and prepare the instances to be ready for a configuration management tool such as Ansible.





Key Knowledge Areas:





Understanding the features and concepts of cloud-init, including user-data and initializing and configuring cloud-init

Use cloud-init to create, resize and mount file systems, configure user accounts, including login credentials such as SSH keys and install software packages from the distributions repository

Understand the features and implications of IaaS clouds and virtualization for a computing instance, such as snapshotting, pausing, cloning and resource limits.





703.3 System Image Creation (weight: 2)


Weight: 2





Description: Candidates should be able to create images for containers, virtual machines and IaaS cloud instances.





Key Knowledge Areas:





Understand the functionality and features of Packer


Create and maintain template files


Build images from template files using different builders


The following is a partial list of the used files, terms and utilities:





packer


Topic 704: Configuration Management


704.1 Ansible (weight: 8)


Weight: 8





Description: 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.





Key Knowledge Areas:





Understand the principles of automated system configuration and software installation


Create and maintain inventory files


Understand how Ansible interacts with remote systems


Manage SSH login credentials for Ansible, including using unprivileged login accounts


Create, maintain and run Ansible playbooks, including tasks, handlers, conditionals, loops and registers


Set and use variables


Maintain secrets using Ansible vaults


Write Jinja2 templates, including using common filters, loops and conditionals


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


Awareness of Ansibles features for non-Linux systems


Awareness of Ansible containers


The following is a partial list of the used files, terms and utilities:





ansible.cfg


ansible-playbook


ansible-vault


ansible-galaxy


ansible-doc








704.2 Other Configuration Management Tools (weight: 2)


Weight: 2





Description: Candidates should understand the main features and principles of important configuration management tools other than Ansible.





Key Knowledge Areas:





Basic feature and architecture knowledge of Puppet.


Basic feature and architecture knowledge of Chef.


The following is a partial list of the used files, terms and utilities:





Manifest, Class, Recipe, Cookbook


puppet


chef


chef-solo


chef-client


chef-server-ctl


knife


Topic 705: Service Operations


705.1 IT Operations and Monitoring (weight: 4)


Weight: 4





Description: Candidates should understand how IT infrastructure is involved in delivering a service. This includes knowledge about the major goals of IT operations, understanding functional and nonfunctional properties of an IT services and ways to monitor and measure them using Prometheus. Furthermore candidates should understand major security risks in IT infrastructure. This objective covers the feature set of Prometheus 1.7 or later.





Key Knowledge Areas:





Understand goals of IT operations and service provisioning, including nonfunctional properties such as availability, latency, responsiveness


Understand and identify metrics and indicators to monitor and measure the technical functionality of a service


Understand and identify metrics and indicators to monitor and measure the logical functionality of a service


Understand the architecture of Prometheus, including Exporters, Pushgateway, Alertmanager and Grafana


Monitor containers and microservices using Prometheus


Understand the principles of IT attacks against IT infrastructure


Understand the principles of the most important ways to protect IT infrastructure


Understand core IT infrastructure components and their the role in deployment


The following is a partial list of the used files, terms and utilities:





Prometheus, Node exporter, Pushgateway, Alertmanager, Grafana


Service exploits, brute force attacks, and denial of service attacks


Security updates, packet filtering and application gateways


Virtualization hosts, DNS and load balancers








705.2 Log Management and Analysis (weight: 4)


Weight: 4





Description: Candidates should understand the role of log files in operations and troubleshooting. They should be able to set up centralized logging infrastructure based on Logstash to collect and normalize log data. Furthermore, candidates should understand how Elasticsearch and Kibana help to store and access log data.





Key Knowledge Areas:





Understand how application and system logging works


Understand the architecture and functionality of Logstash, including the lifecycle of a log message and Logstash plugins


Understand the architecture and functionality of Elasticsearch and Kibana in the context of log data management (Elastic Stack)


Configure Logstash to collect, normalize, transform and store log data


Configure syslog and Filebeat to send log data to Logstash


Configure Logstash to send email alerts


Understand application support for log management


The following is a partial list of the used files, terms and utilities:





logstash


input, filter, output


grok filter


Log files, metrics


syslog.conf


/etc/logstash/logstash.yml


/etc/filebeat/filebeat.yml

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