Final Exam: CloudOps Engineer will test your knowledge and application of the topics presented throughout the CloudOps Engineer track of the Skillsoft Aspire DevOps Engineer to CloudOps Architect Journey.
classify the prominent types of cloud integration along with their benefits in creating and operating cloud-to-cloud integration
compare the differences between DevOps and CloudOps along with challenges and best practices associated with the implementation of CloudOps
compare the differences between Software Defined Network and Software-Defined Wide Area Network along with the working mechanisms of Software-Defined Wide Area Network
compare the features of Kubernetes and Docker and describe the solution architectures that can be built using Kubernetes and Docker in production
configure AWS Security Hub to automate security checks, manage security findings and identify the highest priority security issues across AWS environments
configure the AWS provided Cisco Cloud Services Router 1000V - BYOL for Software-Defined Wide Area Network
connect Docker local client with remote AWS Docker host to set up a hybrid containerized environment
create and configure Symmetric and Asymmetric keys using AWS KMS to control encryption across AWS
create AWS and Azure clusters using the Containership.io platform
define IaaS along with the architecture of IaaS and the key benefits that we can realize with the adoption of IaaS with CloudOps
define the concept of containers along with the benefits of running containers in multi-cloud environments
define the multi-cloud strategy and the role of Docker Container Management in implementing multi-cloud containerization
demonstrate the steps involved in configuring AWS Transit Gateway using the Amazon VPC Console
demonstrate the steps involved in integrating AWS with Azure Active Directory
describe the features of Heat that are used to orchestrate composite cloud applications through OpenStack
describe the impact of SLA considerations on the design of OpenStack cloud to provide redundancy and high availability
describe the interfaces of the Distributed Computing Reference Model along with the standardization required for cloud computing portability and interoperability
describe the role of standards in cloud computing interoperability and list cloud computing interoperability use cases supported by standards
encrypt Kubernetes Secrets at the application layer using keys that are managed in Cloud Key Management Service
identify the categories of cloud automation and orchestration tools from the perspective of cloud provider-native and third-party tools
identify the characteristics of prominent cloud management platforms that drives successful implementation and adaption of CloudOps
identify the characteristics of Software-Defined Wide Area Network
implement container linking to allow multiple containers to link with each other
implement Zero Downtime and No Concurrent Versions deployment applying the Blue/Green deployment strategy using Kubernetes
install and configure Jenkins Automation Server and create jobs to install OpenStack Cloud
install and configure multi-cloud single-node Kubernetes clusters on Ubuntu to deploy all Kubernetes services
install and configure storage nodes to operate the account, container and object services
install and configure the CloudHub platform service to deploy applications with a fully-managed and highly available cloud infrastructure
install OpenNebula and configure the OpenNebula IaaS cloud installation on Ubuntu LTS to create multi-cloud models
install OpenStack and demonstrate the steps to create and launch virtual machine instances using UI
list and compare the prominent cloud offerings that enable enterprises to deploy and manage a wide array of private, public and hybrid cloud environments
list the categories of cloud computing portability and interoperability with a focus on data, application, platform, and infrastructure components
list the core components of IaaS platform and architecture and compare the capabilities of IaaS with Bare Metal as a Service
list the prominent containers and Platform as a Service tool that can be deployed on OpenStack Cloud
list the prominent multi-cloud management tools that we can use to implement CloudOps along with the recommended criteria for selecting the right multi-cloud management tool
list the prominent tools and add-ons that are used to manage the deployment and life cycle of Kubernetes clusters and describe their associated features
list the prominent tools that can be used to manage OpenStack deployment and lifecycle
list the security products provided by Azure that can be used to protect data, applications, and infrastructures when implementing layered and defense-in-depth strategy across identity, data, hosts, and networks
recall application design principles that can help reduce complexity and provide better interoperability for diversified applications that are designed for cloud computing
recall the approaches that can be adopted to overcome the impacts of security challenges in Multicloud environments
recall the architecture and components of Kubernetes along with the different types of pods that can be used to host vertically-integrated applications
recall the architecture of Docker along with the features afforded by Docker components
recall the benefits afforded by Docker and list the prominent open-source tools that can be used by architects for productive container implementations
recall the challenges of multi-cloud architectures and illustrate how Kubernetes can help reduce the complexity and risks of a multi-cloud strategy
recall the core cloud services and compare the capabilities of IaaS with SaaS and PaaS
recall the essentials of Cloud Security Framework and classify the prominent Cloud Audit methods
recall the prominent Cisco Software-Defined Wide Area Network architectures that can be implemented on AWS
recall the security services provided by AWS Cloud Security to secure workloads and applications in the cloud along with their associated features and capabilities
recall the various use cases of implementing OpenStack container integration along with the prominent open-source projects that are used to implement OpenStack container integration points
recognize the approaches of securing CloudOps platform that can help build secure pipelines, middleware, and infrastructures for Multicloud applications
recognize the challenges of designing CloudOps solution for multi-cloud and describe the optimized design of multi-cloud CloudOps framework to mitigate the challenges from the perspective of release management
recognize the cloud capabilities that need to be integrated into existing DevOps implementations to transform DevOps to CloudOps
recognize the components and features of Docker Enterprise along with the role of Docker Enterprise in implementing federated application management architecture
recognize the critical challenges of setting up multi-cloud container management along with the essential features that are required for multi-cloud management platform with containerization
recognize the security challenges and the best practices that need to be applied for Software-Defined Wide Area Network secure deployments
run Kubernetes clusters in the OpenStack ecosystem and deploy a simple application server
set up overlay network driver to create distributed networks among multiple Docker daemon hosts
specify the benefits of achieving cloud interoperability and maximizing portability, along with the challenges of achieving interoperability between diversified cloud components
specify the factors that need to be considered while adopting cloud deployment strategies along with the appropriate scenarios of adopting private and public cloud for application deployment
specify the steps that Cloud Service Customers should take to evaluate and manage the security and privacy of the cloud services from the perspective of mitigating risks and delivering the appropriate level of support