Preparing Oracle Cloud Infrastructure 2021 Architect Professional | 1Z0-997-21

And 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 requirements

• Create architecture patterns including N-tier applications, microservices, and serverless architectures

• Design scalable and elastic solutions for high availability and disaster recovery

Design, implement and operate databases in OCI

• Evaluate and implement databases

• Operate and troubleshoot databases

Migrate on-premises workloads to OCI

• Design strategy for migrating on-premises workloads to OCI

• Implement and troubleshoot database migrations

Implement and operate solutions in OCI

• Implement solutions to meet business and technical requirements

• Operate 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 SDKs

Design for hybrid cloud architecture

• Design and implement hybrid network architectures to meet high availability, bandwidth and latency requirements

• Evaluate multi-cloud solution architectures

Design for Security and Compliance

• Design, implement and operate solutions for security and governance

• Design, implement and operate solutions to meet compliance requirements

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Quality speaks for itself...

Sample Question:

You are a consultant of a company named Babylon. A large number of Babylon’s products leverage machine learning and artificial intelligence, and in 2019, there wasn’t 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...

1

Explanation

Challenge

A large number of Babylon’s products leverage machine learning and artificial intelligence, and in 2019, there wasn’t 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.

Solution

Babylon 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 Jérémie Vallée. The team began building a self-service AI training platform on top of Kubernetes.

Impact

Instead 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 countries

What 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 time

Traditional 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 application can be added or updated easily, reduces hardware costs, and much more. With virtualization you can present a set of physical resources as a cluster of disposable virtual machines.

Each VM is a full machine running all the components, including its own operating system, on top of the virtualized hardware.

Container deployment era: Containers are similar to VMs, but they have relaxed isolation properties to share the Operating System (OS) among the applications. Therefore, containers are considered lightweight. Similar to a VM, a container has its own filesystem, CPU, memory, process space, and more. As they are decoupled from the underlying infrastructure, they are portable across clouds and OS distributions.

Containers have become popular because they provide extra benefits, such as:

Agile application creation and deployment: increased ease and efficiency of container image creation compared to VM image use.

Continuous development, integration, and deployment: provides for reliable and frequent container image build and deployment with quick and easy rollbacks (due to image immutability).

Dev and Ops separation of concerns: create application container images at build/release time rather than deployment time, thereby decoupling applications from infrastructure.

Observability not only surfaces OS-level information and metrics, but also application health and other signals.

Environmental consistency across development, testing, and production: Runs the same on a laptop as it does in the cloud.

Cloud and OS distribution portability: Runs on Ubuntu, RHEL, CoreOS, on-premises, on major public clouds, and anywhere else.

Application-centric management: Raises the level of abstraction from running an OS on virtual hardware to running an application on an OS using logical resources.

Loosely coupled, distributed, elastic, liberated micro-services: applications are broken into smaller, independent pieces and can be deployed and managed dynamically – not a monolithic stack running on one big single-purpose machine.

Resource isolation: predictable application performance.

Resource utilization: high efficiency and density.

Why you need Kubernetes and what it can do

Containers are a good way to bundle and run your applications. In a production environment, you need to manage the containers that run the applications and ensure that there is no downtime. For example, if a container goes down, another container needs to start. Wouldn't it be easier if this behavior was handled by a system?

That's how Kubernetes comes to the rescue! Kubernetes provides you with a framework to run distributed systems resiliently. It takes care of scaling and failover for your application, provides deployment patterns, and more. For example, Kubernetes can easily manage a canary deployment for your system.

Kubernetes provides you with:

Service discovery and load balancing Kubernetes can expose a container using the DNS name or using their own IP address. If traffic to a container is high, Kubernetes is able to load balance and distribute the network traffic so that the deployment is stable.

Storage orchestration Kubernetes allows you to automatically mount a storage system of your choice, such as local storages, public cloud providers, and more.

Automated rollouts and rollbacks You can describe the desired state for your deployed containers using Kubernetes, and it can change the actual state to the desired state at a controlled rate. For example, you can automate Kubernetes to create new containers for your deployment, remove existing containers and adopt all their resources to the new container.

Automatic bin packing You provide Kubernetes with a cluster of nodes that it can use to run containerized tasks. You tell Kubernetes how much CPU and memory (RAM) each container needs. Kubernetes can fit containers onto your nodes to make the best use of your resources.

Self-healing Kubernetes restarts containers that fail, replaces containers, kills containers that don't respond to your user-defined health check, and doesn't advertise them to clients until they are ready to serve.

Secret and configuration management Kubernetes lets you store and manage sensitive information, such as passwords, OAuth tokens, and SSH keys. You can deploy and update secrets and application configuration without rebuilding your container images, and without exposing secrets in your stack configuration.

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What you’ll learn

• Guaranteed chance to pass the exam if you score 90%+ on each practice exam

• Two full set [Practice Exams] OCI 2021 Architect 1Z0-997-21

• One set to cover (NEW for 2020) Manage infrastructure using OCI CLI, APIs and SDKs

• One set to cover (NEW for 2020) Conduct Monitoring, observability and alerting in OCI

• Ace your Oracle Cloud Infrastructure 2021 Architect Professional | 1Z0-997-21 exam

• Practice with high quality practice exams alongside detailed explanation to learn concepts