What service is the OpenShift platform built on?
Answer(s): C
Red Hat's® OpenShift® is an open-source container platform that runs on the Red Hat enterprise Linux operating system and Kubernetes. It's built upon Kubernetes. Red Hat's® OpenShift® on IBM Cloud enables customers to deploy and manage apps on Red Hat OpenShift clusters. These clusters run on the Red Hat OpenShift on IBM Cloud container platform software.Red Hat's® OpenShift® is a Kubernetes container platform. It extends the Kubernetes platform enabling the customer to deploy their workloads across cloud providers. Additionally, they can create their own clusters or compute hosts either on IBM Cloud or VPC infrastructure. IBM Satellite enables Red Hat's® OpenShift® to be deployed and managed in any location. Benefits: Here are some of the benefits of Red Hat's® OpenShift®:Fast and secure: Red Hat's® OpenShift® enables developers to containerize and deploy workloads quickly and securely.Scalable: Red Hat's® OpenShift® enables developers to scale workloads across multiple data centers and multizone regions. Organizations can then monitor, log, and secure apps.
What are the three Transformational Paths for application modernization?
Answer(s): B,C,D
Three transformational paths for application modernization are infrastructure, architectural and delivery.
IBM Cloud offers IBM Cloud® Pak's for which of the following? (Select Three)
Answer(s): A,C,D
IBM Cloud® Pak's are AI-powered software. Using IBM Cloud® Pak's customers are automating, predicting and optimizing business processes and modernizing business models at a faster pace without compromising capabilities, security and resiliency.IBM Cloud offers IBM Cloud® Pak's for following:IBM Cloud Pak® for Network Automation: Automate networks to deliver zero-touch operations. IBM Cloud Pak® for Security: Generate deeper insights into threats and orchestrate actions for scalability and automated responses.IBM Cloud Pak® for Business Automation: Automate business operations to achieve better performance.IBM Cloud Pak® for Data: Unify cloud storage and simplify the collection, organization and analysis of data.
Which of the following are benefits of serverless computing? (Select Three)
Answer(s): A,B,D
Serverless computing is a cloud computing execution model that provisions computing resources on demand and offloads all responsibility for common infrastructure management tasks. They are auto scalable so it can handle extremely active traffic periods. Serverless computing does-not means there are no physical servers utilized, of course there are servers, but we don't have to manage them, in background cloud provider manage (provisioning, scheduling, scaling, patching and more) for us, this gives developers more time to develop and optimize their front-end application code and business logic. And with serverless, customers never pay for idle capacity. They pay only for the resources required to run their applications, and only when those applications are running.Serverless is a polyglot environment, enabling developers to code in any language or framework- Java, Python, node.js- with which they're comfortable. Because serverless scales up and down on demand in response to workload, it offers significant cost savings for spiky workloads. But it does not offer the same savings for workloads characterized by predictable, steady or long-running processes; in these cases, a traditional server environment might be simpler and more cost-effective. Serverless Implementations differ across service providers, and capabilities vary, including supported runtimes, authentication, scaling and monitoring.Serverless architectures are well-suited for event-driven, IOT and stream-processing workloads most notably open-source Apache Kafka event streaming platform.Benefits:- Pay only for the time for our code will run.- Developer don't have to take care of servers or infrastructure, it maintains by cloud provider, so they can focus more on development and business logic.- API Management & Integrated event sources.- Serverless scales up and down on demand in response to workload
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