Final Exam: Beginning with Serverless Solutions

Serverless    |    Beginner
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Final Exam: Beginning with Serverless Solutions will test your knowledge and application of the topics presented throughout the Beginning with Serverless Solutions track of the Skillsoft Aspire Serverless Deployments for Developers Journey.

WHAT YOU WILL LEARN

  • Recall the journey of cloud computing from the shared mainframes era to managed cloud solutions
    identify the features and advantages of serverless architecture
    differentiate between the characteristics of serverless computing and platform as a service (paas)
    distinguish between the features and use cases of serverless and container deployment
    recognize differences between devops and noops and describe the impact of noops on serverless deployment
    outline characteristics, benefits, and applications of serverless architecture
    list common architectures that integrate serverless approaches and identify factors to consider when implementing a serverless architecture
    outline considerations for selecting a serverless implementation
    recognize prominent serverless computing platforms and the advantages of runtime
    describe the features of different serverless systems and how they help facilitate computing, storage, and queue processing
    define the concept of faas and recall programming models that help developers in selecting serverless architecture and runtime
    describe the purpose of different serverless pattern categories
    describe technology evolution and benefits of the serverless mindset
    distinguish between the features of service-oriented and serverless architecture and identify the business benefits of the latter
    recognize how serverless architectures change development processes and impact businesses
    outline the changing dimensions of application operation and usability offered by serverless application architectures
    identify the differences between containerized and serverless implementation and describe the considerations for their selection as an appropriate strategy
    recall prominent serverless development and deployment technologies and map them to serverless solutions
    define portability and list challenges and elements to be considered when designing and developing a portable software
    recall the concept of containerization and components of a typical containerization platform that provides portability
  • recognize key principles and classes of strategies that help achieve greater portability in software and service units
    outline the development lifecycle and role of specification in maximizing portability
    describe the elements and categories of cloud computing portability and interoperability
    describe the openapi specification and features of prominent tools that work with openapi
    recall benefits, challenges, and use cases of multi-cloud
    describe the approach of using an open-source serverless framework for developing and deploying serverless computing solutions across cloud service providers
    configure kubernetes environment for multi-cloud application portability
    compare multi-cloud architecture patterns for building portable applications
    identify application design principles for designing interoperable software applications that can be integrated with other products
    recall the languages that can be used to develop serverless applications for diversified serverless providers
    compare the prominent aws lambda–supported languages from the perspective of cold start performance, warm performance, cost, and ecosystem
    list the major serverless providers and the popular serverless frameworks that enable developers to explore the aspects of serverless computing
    recognize the types of cloud functions provided by gcp to implement serverless applications along with the language runtimes supported by gcp to write cloud functions
    describe the features of azure functions and outline how to select the right programming language to implement azure functions runtime
    install and configure node dependencies to build and deploy rest apis using serverless, express, and node.js on aws
    convert an existing node and express-based application to a serverless-friendly application in the cloud
    use node.js to set up a simple http get endpoint on gcp
    create a simple rest api with python running on aws lambda and api gateway using the traditional serverless framework
    deploy an http node.js azure function and demonstrate how to read properties and set a result back to azure
    configure and set up a simple python http get endpoint on gcp cloud functions

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