Final Exam: CloudOps Architect - categorize the different types of Cloud Engineers along with their roles in defining the vision and providing logical and physical architecture during CloudOps Solutioning process
- classify the solutions that need to be planned by CloudOps Architects to effectively implement security, traffic management, automation and orchestration of Multicloud applications
- compare the differences between the roles played by Solution Architects and CloudOps Architects and identify the deliverables that need to be delivered by them to deploy and manage Multi-tier applications on Multicloud environments
- define the concept of AI Explainability and describe the analogy between AI Explainability and CloudOps Explainability
- define the concept of Explanatory System and evaluate the Explanatory Systems from the perspective of various dimensions that includes Functional, Operational, Usability, Security and Validation
- define the maturity model of CloudOps and recognize the transition path that needs to be used to identify and apply the right maturity model to eliminate negative impacts on business and users
- define the processes, SLAs and KPIs associated with running Cloud operations that can help create Operational Baseline capabilities to be used as benchmarks in transition
- define the role of Cloud Governance Framework in addressing gaps, deficiencies and providing comprehensive Cloud-centric governance for each phase of the cloud transformation lifecycle used in CloudOps
- define the roles and responsibilities of a CloudOps Architect in architecting CloudOps Practices to manage Multicloud service deployment and management
- describe the anatomy of Cloud Service Agreement that must be factored by CloudOps Architects to define SLAs and Fair Use Policy of Cloud services
- describe the approaches that need to be adopted by CloudOps Architects to manage data and information to enumerate the right Cloud transition mechanisms
- describe the Cloud Computing Reference Model and Cloud Governance Lifecycle that need to be implemented by CloudOps Architects to build CloudOps frameworks
- describe the CloudOps Explainability and specify the role it plays in CloudOps implementation to manage Multicloud solutions
- describe the Cloud Strategy & Architecture Services enumerated by CloudOps Architect to deliver Multicloud operations management
- describe the features of the prominent tools that can be used for planning and deploying CloudOps Solutions along with the usage scenarios from the perspective of audience and role
- describe the Inside-out Development strategy that can help CloudOps teams focus on implementing Domain Model before defining how they are to be used by the external world to ensure they can adapt to futuristic interfaces
- describe the Layer-based CloudOps Solutioning architecture reference models that are guided by CISCO, IEFT, and ITU
- describe the logical CloudOps Architecture with the Monitoring, Metering, and Billing components and list the essential factors that can help derive pricing model of the Cloud services that are used to build CloudOps solutions
- describe the Multicloud Maturity Model and Transformation Workflows that need to be adopted by CloudOps Architect to build a solution for CloudOps delivery mechanism
- describe the Outside-in Development strategy that can help the CloudOps team focus on Solutioning and reduce accidental complexity by removing speculative work
- describe the roadmap that can be adapted to transition from DevOps to CloudOps along with the role played by CloudOps Architects in facilitating the transition
- describe the Role-based CloudOps Solutioning architecture reference models that are guided by DMTF, IBM and NIST
- describe the role of CloudOps and DevOps Explainability in mitigating challenges along with the need for management and governance of AI Frameworks in CloudOps architectures
- describe the System Architecture Design considerations that a CloudOps team must adapt to be able to build architectures that adopt and adapt to futuristic innovations with the use of the Adapter pattern
- describe the Target Operating Model that needs to be proposed by CloudOps Architect to derive vision to deliver value through appropriate cloud strategies
- describe the team structure and Service delivery Model that helps CloudOps Architect to address key challenges and enumerate Multicloud delivery model
- describe the three stages of AI Explainability along with the methodologies that are used in each stage to derive the right CloudOps model for implementation guidance
- identify the critical systemic principles that CloudOps Architects need to adopt while planning Multi-cloud transition with a focus on Disaster Recovery and SLAs
- identify the Manifesto for Future Generation Cloud along with the areas that are relevant in the Cloud horizon that a CloudOps Architect need to be prepared to be able to align with the future research directions
- identify the properties that are used to define systems to accommodate Explainability approaches and illustrate how users interact with Explainable systems and what is expected of them
- identify the role of Cloud Operating Model that helps CloudOps Architects and target audiences define operational processes that align Business and IT to accomplish strategic business outcomes
- list the architectures that can be derived using Explainable Models, and that can help share CloudOps or DevOps Model Explainability with the stakeholders to establish better collaboration
- list the architectures that can be derived using Explainable Models, and that can help share CloudOps or DevOps Model Explainability with the stakeholders to establish better collaboration
- list the best practices that can be adopted by CloudOps Architects to transform enterprise capabilities along with the benefits of Multi-cloud transition
- list the common and prominent Cloud transition strategies that can be used to build transition roadmap with a focus on migrated critical applications and infrastructures
- list the critical roles that are pivotal for any organization to facilitate the smooth process, data and platform transition in Multi-cloud environments
- list the essential components that play key roles in solutioning CloudOps projects
- list the Explainability techniques that can be used to define operational and functional derivatives of CloudOps including Leave One Column Out, Permutation Impact, and Local Interpretable Model-agnostic Explanations
- list the prominent emerging technologies along with their associated impact on CloudOps
- list the prominent tools and frameworks used by CloudOps Architect to assess cloud operations and identify current capabilities of Multicloud
- recall the critical Cloud Application Design considerations that a CloudOps Architect need to adhere to to ensure they can adopt and adapt to any futuristic upgrades to the existing practices
- recall the effect of Explainability on the robustness, security and privacy aspects of Predictive Systems and describe the approaches of evaluating how well Explanation is understood using Qualitative and Quantitative validation approaches
- recall the Manifesto for Future Generation Cloud along with the areas that are relevant in the Cloud horizon that a CloudOps Architect need to be prepared to be able to align with the future research directions
- recall the mindset difference between DevOps and CloudOps and describe what CloudOps offers to optimize speed, security and operational efficiency of DevOps teams
- recall the Minimum Valuable Increment design approach suggested CloudOps teams drive agile processes and ensure business and IT alignment
- recall the prominent CloudOps Solutioning tools that can be used to design, plan, architect, implement and estimate costs to ensure CloudOps solutioning provides expected ROI
- recall the role of the People, Organization and Operations domain in determining the transition process that can help build Cloud-enabled enterprise with the application of appropriate cloud enablement using well designed CloudOps process model
- recall the Solutioning Strategies that can be adopted by a CloudOps Architect to accommodate the changes that are driven by emerging technologies in the existing CloudOps architectures
- recognize the architectures that can be derived using Explainable Models, and that can help share CloudOps or DevOps Model Explainability with the stakeholders to establish better collaboration
- recognize the challenges of CloudOps that need to be managed by CloudOps Architects to ensure Agile Delivery Mechanism and optimization of IT services and workloads that can run in Multicloud environments
- recognize the Evolutionary steps that need to be used to define successful CloudOps adoption to ensure processes have a close alignment with business goals and strategies
- recognize the future trends in Cloud Computing that a CloudOps Architect should be aware of to be able to conduct impact analysis on existing CloudOps practices
- recognize the key Resource Types that can help a CloudOps Architect keep track of the future CloudOps developments and adopt the right trending feature to improve existing CloudOps architectures
- recognize the key success factors that need to be considered as a benchmark by CloudOps Architect to identify business values of suggested CloudOps architectures
- recognize the role of Explainability that can be applied throughout the process of operating Cloud environments and infrastructures to ensure efficient service delivery following the CloudOps paradigm
- recognize the role of Layered approach in managing Enterprise CloudOps applications and specify the Multiple Viewpoint elements from the perspective of users, operators, engineers, and managers
- recognize the role of states that are applied in scalable architectures of Multi-cloud and that provides approaches of handing states at service level and move into futuristic systems integration
- recognize the stages of building CloudOps
- specify the Responsible, Accountable, Consulted and Informed Matrix of Roles played by all the stakeholders engaged in solutioning CloudOps
- specify the standards and compliances that a CloudOps Architect need to assess to fulfill the compliance requirements that are to be applied on Multicloud practices
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