Final Exam: CloudOps Apprentice
CloudOps | Intermediate
- 1 Video | 30m 32s
- Includes Assessment
- Earns a Badge
Final Exam: CloudOps Apprentice will test your knowledge and application of the topics presented throughout the CloudOps Apprentice track of the Skillsoft Aspire Infrastructure Support Engineer to CloudOps Engineer Journey.
WHAT YOU WILL LEARN
classify the benefits of multi-cloud and hybrid cloud and identify the challenges faced by enterprises when transforming to hybrid and multi-cloud architecturescompare physical and virtual clusters and define the concept of virtual clusters based on application partitioningcompare the differences between hybrid, on-premises, and single cloud deployment solutionsconfigure an instance for high availability in GCPconfigure a template that defines EC2 instances and use it to create an EC2 auto-scaling groupconfigure hybrid cloud connectivity between AWS and on-premises environmentscreate and configure AWS Outpost to run AWS services on-premisescreate a simple multi-cloud Docker cluster involving AWS and Azure using Docker Swarmdefine a path for successful DevOps transformation that can, in turn, help leverage the principles and practices of continuous integration and continuous deliverydefine the concept of a hybrid cloud and describe the key components of a hybrid cloud solutiondefine the concept of clustering and outline the different cluster architectures that can be configured to support failover and load balancing in traditional deploymentsdemonstrate the steps involved in configuring AWS to connect with other public cloud platformsdeploy applications to multiple regions of high availability environment using the AWS Codepipeline to improve the latency and availability of applicationdescribe the basic principles of failover along with the features of real application clusters to implement in high availability systemsdescribe the concept and characteristics of elasticity and scalability provided by clouddescribe the data model, datasets, dataset fields, field types, categories and inheritance used to create reportsdescribe the different types of automation approaches that can be adopted to build robust DevOps practices for solutioning complex applications with diversified integrationsdescribe the features of Splunk that helps implement observability solution for CloudOpsdescribe the key components of Splunk Search Processing Language that can be used to get expected outcomes from datasetsidentify the critical problems that can be eliminated by adopting DevOps principles and practices and in doing so, evolve the appropriate techniques for progression solution adoptionidentify the features of the prominent tools that are used for multi-cloud deployment, management and cost controlidentify the key components of Splunk Search Processing Language that can be used to get expected outcomes from datasetsimplement a pool of Docker hosts into a single virtual server to allow clustering with built-in Swarm orchestrationlist and compare the features of clustering topologies and name the critical cluster components used to manage enterprise applicationslist the cloud and container orchestration tools used to allocate virtual machines and containers for additional resource integrationlist the core products and developers’ tools provided by Splunk that can be used to collect data, index and implement visualization service for operational intelligencelist the DevOps practices that help enterprises innovate faster through automation and the streamlining of software development and infrastructure management processeslist the primary AWS services used for setting up operating models and implementing hybrid and multi-cloud solutionslist the prominent benefits that are driving the growth of multi-cloud deployments along with the key considerations for planning multi-cloud deploymentslist the prominent tools that help set up, configure, and deploy applications in multi-cloud environments
list the steps involved in hybrid cloud migration strategies that help realize the full potential of hybrid computingname the standard network topologies used for hybrid and multi-cloud setups that also apply cloud and CloudOps best practicesoutline the DevOps principles that guide implementation to achieve quicker and more reliable software development and deliveryoutline the primary multi-cloud operating model and strategies used to transition to the cloud and multi-cloud environmentsoutline the process of enabling DevOps in a hybrid cloud environmentrecall the approach to transition from traditional multi-cloud deployment to secure CI/CD deploymentrecall the challenges of monitoring hybrid and multi-cloud environments along with the features afforded by prominent monitoring tools to address the challengesrecall the CI/CD process used to implement continuous delivery and release of applications in single cloud environmentrecall the core DevOps principles that help define strategies for successful DevOps implementationrecall the critical multi-cloud deployment challenges along with the CAMP and TOSCA principles that are applied to facilitate flexible multi-cloud deploymentsrecall the critical use cases that illustrate the need for adopting a multi-cloud deployment strategyrecall the different types of outages that need to be addressed using high availability solutionsrecall the different types of release management processes that help adapt to changing architectures and delivery processesrecall the key cloud architecture patterns used to design high availability solutions and help avoid a single point of failure at each layerrecall the key components of integrated solution design that can be used to manage and optimize the multi-cloud environment and administration of different environmentsrecall the key considerations and mindset change required to build CloudOps pipelines for multi-cloud application deploymentrecall the key design considerations and benefits of setting up a multi-cloud disaster recovery process in AWS and Azurerecall the prominent deployment strategies that can be adopted to plan deployment mechanism in the cloudrecognize how Agile and Lean principles used in the DevOps lifecycle help build effective practices for enterprises to ensure effective governance in Ops-enabled full stack organizationsrecognize the benefits and pitfalls of implementing high availability deploymentrecognize the business challenges that drive enterprises to adopt hybrid cloud solutionsrecognize the capabilities of Splunk that help discover problems and use operational intelligence to gain insights for business productivityrecognize the critical challenges faced by enterprises when implementing a hybrid cloud environment with DevOps practicesrecognize the features of the prominent tools that are used for multi-cloud deployment, management and cost controlrecognize the role of container orchestration in implementing CI/CD pipelinesrecognize the role of virtual machines and cluster virtualization in data centers and name prominent clustered environment resource managersrecognize the various flavours of Splunk along with the benefits of using Splunk cloudrecognize the various multi-cloud architecture designs that form part of an effective cloud deployment strategyset up monitoring tools to monitor solutions deployed in hybrid environmentsuse the Data Model Editor to design new data model, add root event dataset and root search dataset to the data model
IN THIS COURSE
1.CloudOps Apprentice33sUP NEXT
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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