Final Exam: Infrastructure Support Engineer

SRE    |    Beginner
  • 1 video | 32s
  • Includes Assessment
  • Earns a Badge
Final Exam: Infrastructure Support Engineer will test your knowledge and application of the topics presented throughout the Infrastructure Support Engineer track of the Skillsoft Aspire Infrastructure Support Engineer to CloudOps Engineer Journey.


  • Recognize the technologies that work behind the cloud computing platform and elaborate role of support engineer in managing iaas, paas, and saas
    recognize the benefits of modernizing traditional or legacy systems to multi-cloud architecture using cloudops best practices
    recognize platform automation tool features with a focus on devops deployment and delivery automation processes
    recognize the critical capabilities afforded by new relic to monitor resources that are used to deploy enterprise applications
    recognize the role of test automation in building robust devops workflow
    identify cloud deployment solution issues and the approaches that can be adopted to debug them
    configure firewall rules to allow certain traffic to pass through from the internet to the private network while blocking unwanted traffic
    specify which features of scripting languages play a critical role in automating repetitive tasks
    define the concept of it automation and identify the tasks that add value to enterprise systems
    use amazon cloudwatch metrics to calculate the average throughput and average number of iops and ebs volumes
    indicate the troubleshooting approaches for application distribution in multi-cloud that support engineers can adopt
    create and use appropriate branching strategies that can be adapted to benefit devops pipeline by segregating developers and ops branch and facilitate collaborated development and operations
    define the concept and working mechanism of reverse debugging and identify its benefits
    list the essential components of cloud infrastructure and the various service models that a support engineer must be familiar with to be able to provide technical support to cloud consumers
    recognize azure's automation capabilities in delivering cloud-based automation and configuration services that support consistent management across azure and non-azure environments
    recognize the concept of virtualization and its features in cloud computing
    recognize elements that should be considered when planning and designing end-to-end support systems for the enterprise
    list the key factors support engineers need to consider when selecting the right automation tools and scripts
    specify the cloud service models that cloud support engineers need to manage and list the selection criteria that can help select the right cloud service model
    list the prominent tools that a cloud support engineer can use to manage end-to-end support for cloudops lifecycle applied for multi-cloud environments
    recall the concept of containerization and the role played by docker and kubernetes in implementing containerization as a service
    set up automation environments that can read scripts and automate repetitive command-line tasks
    recall the prominent source code integration strategies that can be used to manage code repositories for diversified staging deployment with devops pipelines
    recall the concept and characteristics of the automation mindset and list the benefits that enterprises can realize by adopting an automation first mindset
    list the benefits of implementing automated configuration management along with the prominent tools that a support engineer can use to configure and enable automated configuration management
    work with puppet to write scripts to automate the creation of resources and the installation of the webserver for web applications
    describe the devops deployment process and troubleshooting workflow a support engineer should follow to ensure robust devops mechanisms and continuous delivery and deployment
    describe an automated it delivery cycle and its impact on it management and monitoring
    compare the traditional computing model with the cloud computing model and recognize the competitive advantage of a cloud computing model
    recall the features of major scripting languages that can help achieve devops success through automation
  • recall the features of cloud deployment models and suggested criteria for selecting the right cloud deployment model to fulfill business requirements
    recall the role and architecture of hypervisors in implementing virtualization and list the hypervisors used by popular public cloud providers
    recognize how the benefits of infrastructure as code and configuration as code help to support end-to-end devops-based configuration management
    configure new relic components to monitor cloud resources that are configured in aws
    differentiate between powershell runbooks and powershell workflow runbooks and describe how they can help support engineers select the correct approaches to manage azure resources
    list the saas support system elements that support engineers need to consider to set up support
    install foreman and evaluate the features of foreman ui that can be used by support engineers
    recall the generic architecture of cloud including the internal infrastructure and networking
    specify the pros and cons of automation from the perspectives of business and process
    describe the implementation of continuous monitoring and observability capability for devops pipelines to eliminate barriers between software development and it operations
    recognize the roles of process, robotic process, and service automation in building value streams for end-to-end, enterprise it delivery
    describe the transformational journey from a task-oriented support engineer to a more design and automation-oriented mindset
    recognize the role of a technical support team and it support levels that can be structured to provide technical support with, focus on functions, support methodologies, and the required support skills
    recall multi-cloud use cases that cloud support engineers need to consider to define support strategy and support levels for enterprises
    specify methods for discovering business processes that are valuable candidates for it automation
    specify the essential it tasks that can be automated and describe how small automation steps provide big wins and positive business impacts
    describe the essential configuration and management tasks that a support engineer can perform to support continuous integration with jenkins
    recognize the continuous integration deployment workflow that a support engineer can use to manage devops managed workflows
    demonstrate the use of kubectl commands to diagnose problems in kubernetes cluster and troubleshoot them
    recognize the key devops support roles and their responsibilities and how to ensure the right team members are in the right roles to achieve a successful enterprise-level devops deployment
    specify strategies that can be employed to migrate from legacy to cloudops and recognize best practices and principles that can be adopted for productive legacy system upgrades
    describe the role of protocols that help diversified and distributed system components benefit from automation
    recognize the roles and responsibilities of a cloud support engineer and the skills traditional support engineers require in the role of a cloud support engineer
    list prominent devops automation tools that are used to help automate development, operations, and delivery of it solutions
    describe edge router features, associated issues, and how support engineers can use edge routers in identifying and resolving issues
    recall the concept of devops pipelines along with the critical devops phases involved a typical devops pipeline
    tune the performance of a web server that hosts applications deployed using devops pipelines
    benchmark network throughput among amazon ec2 linux instances in the same amazon vpc network
    recognize the role of python in configuring aws resources that are used to implement devops practices
    recall the typical architecture of legacy applications and recognize approaches for avoiding the trap of legacy system architecture using classic devops and cloudops principles


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