Final Exam: CloudOps Apprentice
CloudOps | Intermediate
- 1 video | 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
list the core products and developers’ tools provided by Splunk that can be used to collect data, index and implement visualization service for operational intelligenceoutline the primary multi-cloud operating model and strategies used to transition to the cloud and multi-cloud environmentsrecall the prominent deployment strategies that can be adopted to plan deployment mechanism in the cloudrecall the different types of outages that need to be addressed using high availability solutionsdescribe the basic principles of failover along with the features of real application clusters to implement in high availability systemsconfigure a template that defines EC2 instances and use it to create an EC2 auto-scaling groupclassify the benefits of multi-cloud and hybrid cloud and identify the challenges faced by enterprises when transforming to hybrid and multi-cloud architecturesdescribe the concept and characteristics of elasticity and scalability provided by cloudcreate a simple multi-cloud Docker cluster involving AWS and Azure using Docker Swarmrecall the key cloud architecture patterns used to design high availability solutions and help avoid a single point of failure at each layerrecall the key design considerations and benefits of setting up a multi-cloud disaster recovery process in AWS and Azurelist the prominent benefits that are driving the growth of multi-cloud deployments along with the key considerations for planning multi-cloud deploymentsdescribe the features of Splunk that helps implement observability solution for CloudOpsrecall the critical multi-cloud deployment challenges along with the CAMP and TOSCA principles that are applied to facilitate flexible multi-cloud deploymentslist the primary AWS services used for setting up operating models and implementing hybrid and multi-cloud solutionsdefine the concept of clustering and outline the different cluster architectures that can be configured to support failover and load balancing in traditional deploymentsimplement a pool of Docker hosts into a single virtual server to allow clustering with built-in Swarm orchestrationrecognize 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 strategylist the cloud and container orchestration tools used to allocate virtual machines and containers for additional resource integrationrecall the critical use cases that illustrate the need for adopting a multi-cloud deployment strategyrecognize the benefits and pitfalls of implementing high availability deploymentdemonstrate the steps involved in configuring AWS to connect with other public cloud platformsname the standard network topologies used for hybrid and multi-cloud setups that also apply cloud and CloudOps best practicesrecognize the features of the prominent tools that are used for multi-cloud deployment, management and cost controlrecall the challenges of monitoring hybrid and multi-cloud environments along with the features afforded by prominent monitoring tools to address the challengeslist the prominent tools that help set up, configure, and deploy applications in multi-cloud environmentslist and compare the features of clustering topologies and name the critical cluster components used to manage enterprise applicationsidentify the features of the prominent tools that are used for multi-cloud deployment, management and cost control
define a path for successful DevOps transformation that can, in turn, help leverage the principles and practices of continuous integration and continuous deliverycompare the differences between hybrid, on-premises, and single cloud deployment solutionsset up monitoring tools to monitor solutions deployed in hybrid environmentsrecognize the critical challenges faced by enterprises when implementing a hybrid cloud environment with DevOps practicesrecognize 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 organizationsidentify the critical problems that can be eliminated by adopting DevOps principles and practices and in doing so, evolve the appropriate techniques for progression solution adoptiondefine the concept of a hybrid cloud and describe the key components of a hybrid cloud solutionlist the steps involved in hybrid cloud migration strategies that help realize the full potential of hybrid computingrecall the different types of release management processes that help adapt to changing architectures and delivery processesdescribe the different types of automation approaches that can be adopted to build robust DevOps practices for solutioning complex applications with diversified integrationsrecognize the business challenges that drive enterprises to adopt hybrid cloud solutionslist the DevOps practices that help enterprises innovate faster through automation and the streamlining of software development and infrastructure management processesconfigure hybrid cloud connectivity between AWS and on-premises environmentsrecall the core DevOps principles that help define strategies for successful DevOps implementationoutline the process of enabling DevOps in a hybrid cloud environmentoutline the DevOps principles that guide implementation to achieve quicker and more reliable software development and deliveryrecognize the capabilities of Splunk that help discover problems and use operational intelligence to gain insights for business productivityrecognize the role of container orchestration in implementing CI/CD pipelinescreate and configure AWS Outpost to run AWS services on-premisescompare physical and virtual clusters and define the concept of virtual clusters based on application partitioningdeploy applications to multiple regions of high availability environment using the AWS Codepipeline to improve the latency and availability of applicationconfigure an instance for high availability in GCPidentify the key components of Splunk Search Processing Language that can be used to get expected outcomes from datasetsrecall the approach to transition from traditional multi-cloud deployment to secure CI/CD deploymentrecall the CI/CD process used to implement continuous delivery and release of applications in single cloud environmentdescribe the data model, datasets, dataset fields, field types, categories and inheritance used to create reportsuse the Data Model Editor to design new data model, add root event dataset and root search dataset to the data modeldescribe the key components of Splunk Search Processing Language that can be used to get expected outcomes from datasetsrecall 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 deployment
IN THIS COURSE
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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