[Practice Exams] OCI 2020 Architect 1Z0-997-20 | It Certification Online Course by Udemy

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Prepare for your Oracle 1Z0-997-20 test. 167 high-quality questions with detailed explanations. Updated in Nov 2020.

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[Practice Exams] OCI 2020 Architect 1Z0-997-20

Preparing Oracle Cloud Infrastructure 2020 Architect Professional 1Z0-997-20And more questions are being added over time! Exam Topics: Plan and design solutions in Oracle Cloud Infrastructure (OCI)Plan and design solutions to meet business and technical requirementsCreate architecture patterns including N-tier applications, microservices, and serverless architecturesDesign scalable and elastic solutions for high availability and disaster recoveryDesign, implement and operate databases in OCIEvaluate and implement databasesOperate and troubleshoot databasesMigrate on-premises workloads to OCIDesign strategy for migrating on-premises workloads to OCIImplement and troubleshoot database migrationsImplement and operate solutions in OCIImplement solutions to meet business and technical requirementsOperate and troubleshoot solutions on OCI(NEW for 2020) Conduct Monitoring, observability and alerting in OCI(NEW for 2020) Manage infrastructure using OCI CLI, APIs and SDKsDesign for hybrid cloud architectureDesign and implement hybrid network architectures to meet high availability, bandwidth and latency requirementsEvaluate multi-cloud solution architecturesDesign for Security and ComplianceDesign, implement and operate solutions for security and governanceDesign, implement and operate solutions to meet compliance requirements=======Quality speaks for itself. Sample Question: You are a consultant of a company named Babylon. A large number of Babylons products leverage machine learning and artificial intelligence, and in 2019, there wasnt enough computing power in-house to run a particular experiment. The company was also growing (from 100 to 1,600 in three years) and planning expansion into other countries. You want to develop a solution where instead of waiting hours or days to be able to compute, teams can get access instantaneously. Clinical validations which was used to take 10 hours; now they are done in under 20 minutes. Which is the appropriate solution to meet the Babylon’s requirement?1. user-facing applications to a Kubernetes platform.2. user-facing applications to a Cloud platform.3. user-facing applications to a Virtualized platform.4. user-facing applications to a traditional platform. What’s your guess? Scroll below for the answer.1ExplanationChallengeA large number of Babylons products leverage machine learning and artificial intelligence, and in 2019, there wasnt enough computing power in-house to run a particular experiment. The company was also growing (from 100 to 1,600 in three years) and planning expansion into other countries. SolutionBabylon had migrated its user-facing applications to a Kubernetes platform in 2018, so the infrastructure team turned to Kubeflow, a toolkit for machine learning on Kubernetes. We tried to create a Kubernetes core server, we deployed Kubeflow, and we orchestrated the whole experiment, which ended up being a really good success, says AI Infrastructure Lead Jrmie Valle. The team began building a self-service AI training platform on top of Kubernetes. ImpactInstead of waiting hours or days to be able to compute, teams can get access instantaneously. Clinical validations used to take 10 hours; now they are done in under 20 minutes. The portability of the cloud native platform has also enabled Babylon to expand into other countriesWhat is Kubernetes?This page is an overview of Kubernetes. Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available. The name Kubernetes originates from Greek, meaning helmsman or pilot. Google open-sourced the Kubernetes project in 2014. Kubernetes combines over 15 years of Google’s experience running production workloads at scale with best-of-breed ideas and practices from the community. Going back in timeTraditional deployment era: Early on, organizations ran applications on physical servers. There was no way to define resource boundaries for applications in a physical server, and this caused resource allocation issues. For example, if multiple applications run on a physical server, there can be instances where one application would take up most of the resources, and as a result, the other applications would underperform. A solution for this would be to run each application on a different physical server. But this did not scale as resources were underutilized, and it was expensive for organizations to maintain many physical servers. Virtualized deployment era: As a solution, virtualization was introduced. It allows you to run multiple Virtual Machines (VMs) on a single physical server’s CPU. Virtualization allows applications to be isolated between VMs and provides a level of security as the information of one application cannot be freely accessed by another application. Virtualization allows better utilization of resources in a physical server and allows better scalability because an applica

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