Final Exam: CloudOps Engineer
- 1 Video | 35s
- Includes Assessment
- Earns a Badge
Final Exam: CloudsOps Engineer will test your knowledge and application of the topics presented throughout the CloudsOps Engineer track of the Skillsoft Aspire Infrastructure Support Engineer to CloudOps Engineer Journey.
WHAT YOU WILL LEARN
compare the differences between problem management and incident management along with how they are implemented in supporting CloudOps implementation using multi-cloud and hybrid solutionsconfigure Terraform for an automated workflow that can be used to implement change management and deployment pipelinecreate visual drafts of CloudOps solution using prototyping tool to provide a walkthrough of CloudOps solution before finalizing the solution adoptiondescribe the approach of design thinking in implementing an agile and iterative process to help enterprises manage changes and CloudOps evolutiondescribe the approach that can be adopted by CloudOps engineers for better collaboration and communication with key stakeholders participating in CloudOps management and implementation processesdescribe the concept and objective of redundancy along with the major forms of redundancy that helps increase the reliability of systemsdescribe the concept and the prominent use cases of disposable and repeatable infrastructure that enables a high degree of automationdescribe the concept of performance engineering and elaborate on the phases of the performance engineering approach that helps ensure non-functional requirements are management efficientlydescribe the concept of the Novel PaaS framework and its components that can be adapted to support the deployment of multi-tier and stateful applicationsdescribe the concept of Zero Code multi-cloud automation along with the features afforded by Ansible and Terraform that can be used together to implement Zero Code multi-cloud automationdescribe the features of prominent cloud-enabled automation toolsdescribe the features of prominent tools that can be used to enable cloud application deployment across multi and hybrid clouddescribe the five pillars of the AWS framework along with the patterns to implement them while architecting technology solutions to realize expected performancedescribe the functional and non-functional components and layers that need to be considered for planning performance management that applies to application and infrastructuredescribe the hierarchical network design that uses core, distribution and access layers with redundancy to eliminate a single point of failure in the networkdescribe the performance management challenges for cloud-hosted services from the perspective of cloud consumers and cloud service providersdescribe the primary cloud infrastructure components and technologies that CloudOps engineers can use to facilitate automated infrastructure managementdescribe the prominent cloud architectures and practices a CloudOps engineer must embrace to ensure productive CloudOps practicesdescribe the steps involved in installing CloudWatch Agent to collect memory utilization and analyzing how that new data point can help during EC2 right-sizingdescribe why and how to build Explainability into CloudOps workflow with a focus on eliminating the negative impact of ITdesign redundant multi-region cloud architecture using Visio with a focus on topology and operations to depict the benefits of redundant architecturedifferentiate the traditional functional and non-functional features of DevOps from those of CloudOps, recognizing how the roles of DevOps and CloudOps engineers varyevaluate the implications of transitioning to the cloud and how to shift from static infrastructure to dynamic infrastructure to design CloudOps solutionidentify prominent cloud monitoring and performance management toolsidentify the common performance problems and describe the systemic tuning approach that can help improve the overall system performanceidentify the prevalent issues that cause downtime within infrastructure layers along with the mechanisms that can be used to manage challenges by adopting the right solution architecture powered by redundancylist and describe the features of prominent design tools that can be used to design diversified architectures and templateslist and describe the features of prominent SaaS-based tools that can be used to manage redundant multi-cloud environmentslist and describe the features of various type of cloud computing architectures with a focus on single-site, non-redundant and redundant architectureslist the primary cloud management skills a CloudOps engineer must possess to manage the critical ops processes are applied in cloud architectures
list the prominent cloud monitoring and performance management toolslist the stages in the design thinking process involved in developing an empathic approach to craft Explainability for varying users and stakeholders of CloudOpsoutline the process CloudOps engineers need to follow when planning and implementing continuous operations in public and private clouds using DevOps principlesrecall the challenges and opportunities of explainable AI and its impact on DevOps principles integrated into CloudOpsrecall the concept and benefits of continuous automation along with the path that can be adopted to implement continuous automation while solutioning CloudOpsrecall the concept of interpretability and Explainability along with how they can be applied in CloudOpsrecall the different algorithms that can be used to explain CloudOps practices adopted in the enterpriserecall the essential characteristics that are a must-have for hybrid or multi-cloud for successful and robust deploymentsrecall the essential elements of DevOps and automation mindset that helps identify critical areas of CloudOps deployment requiring supportrecall the key cloud redundancy design principles that can help build secure, high-performing, resilient and efficient infrastructure for applicationsrecall the recommended best practices for cloud management systems and disaster recovery that need to be adopted to design a robust multi-cloud deployment platformrecall the significance of creating a knowledge base to integrate and implement self-service capability to support operations in multi-cloud environments using the principles of CloudOpsrecall the steps involved in configuring performance testing and the approach of analyzing test results using patterns of system behaviorrecall the techniques that CloudOps engineers can use to identify the need for continuous application optimization in the cloudrecognize the challenges associated with managing multi-cloud environments along with the approach of troubleshooting the challengesrecognize the core factors for deriving a technology upgrade path that can enable enterprises to remain in sync with future technology trendsrecognize the critical issues associated with multi-cloud storage along with the approach of troubleshooting themrecognize the features and benefits provided by Visual Paradigm to create the visual architecture of multi-cloud solutions for CloudOps practicesrecognize the Five Forces Model that can be adapted to conduct an in-depth analysis of enterprises' requirements and reason for adopting CloudOps solutionrecognize the major challenges faced by CloudOps practitioners when designing CloudOps solutionrecognize the prominent redundancy architectures that can be used to manage reliability in the standard architecture and improve availability and resiliencyrecognize the roadmap of performance tuning that includes the methods to quantify performance objectives, measure performance metrics, locate bottlenecks in the system and minimize the impact of bottlenecks in traditional or legacy deploymentsrecognize the role of prototyping tools that can be used to validate the CloudOps model, generate prototypes, allocate required resources and deploy generated prototypes to multi-cloud environmentsrecognize the scope and potential challenges of multi-cloud design considerations along with the primary building blocks that include foundation resources, workload management and service consumptionrecognize the scope and potential challenges of multi-cloud design considerations along with the primary building blocks that include foundation resources, workload management and service consumptionrecognize the technology shifts that need to be made to implement continuous automation for CloudOps solutionset up an Amazon QuickSight account and illustrate efficiency through visualizationsset up Application Insight to automatically detect performance anomalies and diagnose performance issuesspecify the high-level architecture of CloudOps prototyping tool along with the associated components, responsibilities and interfacesspecify the steps involved in creating a multi-cloud performance optimization strategy
IN THIS COURSE
1.CloudOps Engineer36sUP NEXT
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