Final Exam: CloudOps Support Engineer
CloudOps 2020 | Intermediate
- 1 video | 32s
- 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
recall 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 CloudOpsrecognize 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 deploymentsrecall the concept and benefits of continuous automation along with the path that can be adopted to implement continuous automation while solutioning CloudOpsrecall the essential characteristics that are a must-have for hybrid or multi-cloud for successful and robust deploymentsdescribe 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 automationrecall the steps involved in configuring performance testing and the approach of analyzing test results using patterns of system behaviordescribe the five pillars of the AWS framework along with the patterns to implement them while architecting technology solutions to realize expected performancerecognize the core factors for deriving a technology upgrade path that can enable enterprises to remain in sync with future technology trendsdescribe the hierarchical network design that uses core, distribution and access layers with redundancy to eliminate a single point of failure in the networkspecify the high-level architecture of CloudOps prototyping tool along with the associated components, responsibilities and interfacesset up Application Insight to automatically detect performance anomalies and diagnose performance issuesdescribe the prominent cloud architectures and practices a CloudOps engineer must embrace to ensure productive CloudOps practicesdescribe the features of prominent tools that can be used to enable cloud application deployment across multi and hybrid cloudrecognize 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 environmentsrecall the techniques that CloudOps engineers can use to identify the need for continuous application optimization in the clouddescribe the features of prominent cloud-enabled automation toolsdescribe the approach of design thinking in implementing an agile and iterative process to help enterprises manage changes and CloudOps evolutionlist and describe the features of prominent SaaS-based tools that can be used to manage redundant 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 consumptiondescribe the functional and non-functional components and layers that need to be considered for planning performance management that applies to application and infrastructuredescribe the concept and objective of redundancy along with the major forms of redundancy that helps increase the reliability of systemslist and describe the features of prominent design tools that can be used to design diversified architectures and templatesdesign redundant multi-region cloud architecture using Visio with a focus on topology and operations to depict the benefits of redundant architecturecompare the differences between problem management and incident management along with how they are implemented in supporting CloudOps implementation using multi-cloud and hybrid solutionsrecognize the critical issues associated with multi-cloud storage along with the approach of troubleshooting themdifferentiate the traditional functional and non-functional features of DevOps from those of CloudOps, recognizing how the roles of DevOps and CloudOps engineers varydescribe the approach that can be adopted by CloudOps engineers for better collaboration and communication with key stakeholders participating in CloudOps management and implementation processesoutline the process CloudOps engineers need to follow when planning and implementing continuous operations in public and private clouds using DevOps principlesevaluate the implications of transitioning to the cloud and how to shift from static infrastructure to dynamic infrastructure to design CloudOps solutiondescribe the primary cloud infrastructure components and technologies that CloudOps engineers can use to facilitate automated infrastructure management
recognize the prominent redundancy architectures that can be used to manage reliability in the standard architecture and improve availability and resiliencyidentify 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 the primary cloud management skills a CloudOps engineer must possess to manage the critical ops processes are applied in cloud architecturesdescribe the concept and the prominent use cases of disposable and repeatable infrastructure that enables a high degree of automationdescribe the steps involved in installing CloudWatch Agent to collect memory utilization and analyzing how that new data point can help during EC2 right-sizingrecognize the major challenges faced by CloudOps practitioners when designing CloudOps solutionlist and describe the features of various type of cloud computing architectures with a focus on single-site, non-redundant and redundant architecturesrecall 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 platformdescribe the performance management challenges for cloud-hosted services from the perspective of cloud consumers and cloud service providersrecognize the challenges associated with managing multi-cloud environments along with the approach of troubleshooting the challengesrecognize the features and benefits provided by Visual Paradigm to create the visual architecture of multi-cloud solutions for CloudOps practicesconfigure Terraform for an automated workflow that can be used to implement change management and deployment pipelinerecognize the scope and potential challenges of multi-cloud design considerations along with the primary building blocks that include foundation resources, workload management and service consumptionidentify prominent cloud monitoring and performance management toolsspecify the steps involved in creating a multi-cloud performance optimization strategylist the stages in the design thinking process involved in developing an empathic approach to craft Explainability for varying users and stakeholders of CloudOpsrecall the different algorithms that can be used to explain CloudOps practices adopted in the enterpriserecall the concept of interpretability and Explainability along with how they can be applied in CloudOpsdescribe why and how to build Explainability into CloudOps workflow with a focus on eliminating the negative impact of ITrecall the challenges and opportunities of explainable AI and its impact on DevOps principles integrated into CloudOpsrecognize the technology shifts that need to be made to implement continuous automation for CloudOps solutiondescribe the concept of the Novel PaaS framework and its components that can be adapted to support the deployment of multi-tier and stateful applicationsset up an Amazon QuickSight account and illustrate efficiency through visualizationslist the prominent cloud monitoring and performance management toolsrecognize the Five Forces Model that can be adapted to conduct an in-depth analysis of enterprises' requirements and reason for adopting CloudOps solutionidentify the common performance problems and describe the systemic tuning approach that can help improve the overall system performancecreate visual drafts of CloudOps solution using prototyping tool to provide a walkthrough of CloudOps solution before finalizing the solution adoptionrecall the essential elements of DevOps and automation mindset that helps identify critical areas of CloudOps deployment requiring supportdescribe the concept of performance engineering and elaborate on the phases of the performance engineering approach that helps ensure non-functional requirements are management efficiently
IN THIS COURSE
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