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Aspire Infrastructure Support Engineer to CloudOps Engineer CloudOps Engineer Track 1: Infrastructure Support Engineer

Final Exam: Infrastructure Support Engineer will test your knowledge and application of the topics presented throughout the Infrastructure Support Engineer track of the Aspire Infrastructure Support Engineer to CloudOps Engineer Journey.

Asset ID	it_feisecoe_01_enus
Course Type	Video Course
Course Category	Infrastructure Support Engineer to CloudOps Engineer

Objectives
Final Exam: Infrastructure Support Engineer 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

Objectives

Final Exam: Infrastructure Support Engineer

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