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 intelligence
    outline the primary multi-cloud operating model and strategies used to transition to the cloud and multi-cloud environments
    recall the prominent deployment strategies that can be adopted to plan deployment mechanism in the cloud
    recall the different types of outages that need to be addressed using high availability solutions
    describe the basic principles of failover along with the features of real application clusters to implement in high availability systems
    configure a template that defines EC2 instances and use it to create an EC2 auto-scaling group
    classify the benefits of multi-cloud and hybrid cloud and identify the challenges faced by enterprises when transforming to hybrid and multi-cloud architectures
    describe the concept and characteristics of elasticity and scalability provided by cloud
    create a simple multi-cloud Docker cluster involving AWS and Azure using Docker Swarm
    recall the key cloud architecture patterns used to design high availability solutions and help avoid a single point of failure at each layer
    recall the key design considerations and benefits of setting up a multi-cloud disaster recovery process in AWS and Azure
    list the prominent benefits that are driving the growth of multi-cloud deployments along with the key considerations for planning multi-cloud deployments
    describe the features of Splunk that helps implement observability solution for CloudOps
    recall the critical multi-cloud deployment challenges along with the CAMP and TOSCA principles that are applied to facilitate flexible multi-cloud deployments
    list the primary AWS services used for setting up operating models and implementing hybrid and multi-cloud solutions
    define the concept of clustering and outline the different cluster architectures that can be configured to support failover and load balancing in traditional deployments
    implement a pool of Docker hosts into a single virtual server to allow clustering with built-in Swarm orchestration
    recognize the role of virtual machines and cluster virtualization in data centers and name prominent clustered environment resource managers
    recognize the various flavours of Splunk along with the benefits of using Splunk cloud
    recognize the various multi-cloud architecture designs that form part of an effective cloud deployment strategy
    list the cloud and container orchestration tools used to allocate virtual machines and containers for additional resource integration
    recall the critical use cases that illustrate the need for adopting a multi-cloud deployment strategy
    recognize the benefits and pitfalls of implementing high availability deployment
    demonstrate the steps involved in configuring AWS to connect with other public cloud platforms
    name the standard network topologies used for hybrid and multi-cloud setups that also apply cloud and CloudOps best practices
    recognize the features of the prominent tools that are used for multi-cloud deployment, management and cost control
    recall the challenges of monitoring hybrid and multi-cloud environments along with the features afforded by prominent monitoring tools to address the challenges
    list the prominent tools that help set up, configure, and deploy applications in multi-cloud environments
    list and compare the features of clustering topologies and name the critical cluster components used to manage enterprise applications
    identify 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 delivery
    compare the differences between hybrid, on-premises, and single cloud deployment solutions
    set up monitoring tools to monitor solutions deployed in hybrid environments
    recognize the critical challenges faced by enterprises when implementing a hybrid cloud environment with DevOps practices
    recognize 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 organizations  
    identify the critical problems that can be eliminated by adopting DevOps principles and practices and in doing so, evolve the appropriate techniques for progression solution adoption
    define the concept of a hybrid cloud and describe the key components of a hybrid cloud solution
    list the steps involved in hybrid cloud migration strategies that help realize the full potential of hybrid computing
    recall the different types of release management processes that help adapt to changing architectures and delivery processes  
    describe the different types of automation approaches that can be adopted to build robust DevOps practices for solutioning complex applications with diversified integrations  
    recognize the business challenges that drive enterprises to adopt hybrid cloud solutions
    list the DevOps practices that help enterprises innovate faster through automation and the streamlining of software development and infrastructure management processes
    configure hybrid cloud connectivity between AWS and on-premises environments
    recall the core DevOps principles that help define strategies for successful DevOps implementation
    outline the process of enabling DevOps in a hybrid cloud environment
    outline the DevOps principles that guide implementation to achieve quicker and more reliable software development and delivery
    recognize the capabilities of Splunk that help discover problems and use operational intelligence to gain insights for business productivity
    recognize the role of container orchestration in implementing CI/CD pipelines
    create and configure AWS Outpost to run AWS services on-premises
    compare physical and virtual clusters and define the concept of virtual clusters based on application partitioning
    deploy applications to multiple regions of high availability environment using the AWS Codepipeline to improve the latency and availability of application
    configure an instance for high availability in GCP
    identify the key components of Splunk Search Processing Language that can be used to get expected outcomes from datasets
    recall the approach to transition from traditional multi-cloud deployment to secure CI/CD deployment
    recall the CI/CD process used to implement continuous delivery and release of applications in single cloud environment
    describe the data model, datasets, dataset fields, field types, categories and inheritance used to create reports
    use the Data Model Editor to design new data model, add root event dataset and root search dataset to the data model
    describe the key components of Splunk Search Processing Language that can be used to get expected outcomes from datasets
    recall the key components of integrated solution design that can be used to manage and optimize the multi-cloud environment and administration of different environments
    recall the key considerations and mindset change required to build CloudOps pipelines for multi-cloud application deployment

IN THIS COURSE

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