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NEW QUESTION 51
You have been asked to create a stateful application deployed in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) that requires all of your worker nodes to mount and write data to persistent volumes.
Which two OCI storage services should you use?

• A. Use OCI Block Volume backed persistent volume.
• B. Use OCI File Services as persistent volume.
• C. Use GlusterFS as persistent volume.
• D. Use open source storage solutions on top of OCI.
• E. Use OCI Object Storage as persistent volume.

Answer: A,B

Explanation:
A PersistentVolume (PV) is a piece of storage in the cluster that has been provisioned by an administrator. PVs are volume plugins like Volumes, but have a lifecycle independent of any individual Pod that uses the PV.
A PersistentVolumeClaim (PVC) is a request for storage by a user. It is similar to a Pod. Pods consume node resources and PVCs consume PV resources.
If you intend to create Kubernetes persistent volumes, sufficient block volume quota must be available in each availability domain to meet the persistent volume claim. Persistent volume claims must request a minimum of 50 gigabytes You can define and apply a persistent volume claim to your cluster, which in turn creates a persistent volume that's bound to the claim. A claim is a block storage volume in the underlying IaaS provider that's durable and offers persistent storage, enabling your data to remain intact, regardless of whether the containers that the storage is connected to are terminated.
With Oracle Cloud Infrastructure as the underlying IaaS provider, you can provision persistent volume claims by attaching volumes from the Block Storage service.


https://oracle.github.io/weblogic-kubernetes-operator/faq/oci-fss-pv/
https://kubernetes.io/docs/concepts/storage/persistent-volumes/

NEW QUESTION 52
What is the communication method between different Cloud native applications services?

• A. Complex and synchronous
• B. Complex and asynchronous
• C. Basic and synchronous
• D. Basic and asynchronous

Answer: D

Explanation:
What Is Cloud Native?
Cloud native technologies are characterized by the use of containers, microservices, serverless functions, development pipelines, infrastructure expressed as code, event-driven applications, and Application Programming Interfaces (APIs). Cloud native enables faster software development and the ability to build applications that are resilient, manageable, observable, and dynamically scalable to global enterprise levels.
When constructing a cloud-native application, you'll want to be sensitive to how back-end services communicate with each other. Ideally, the less inter-service communication, the better. However, avoidance isn't always possible as back-end services often rely on one another to complete an operation.
While direct HTTP calls between microservices are relatively simple to implement, care should be taken to minimize this practice. To start, these calls are always synchronous and will block the operation until a result is returned or the request times outs. What were once self-contained, independent services, able to evolve independently and deploy frequently, now become coupled to each other. As coupling among microservices increase, their architectural benefits diminish.
Executing an infrequent request that makes a single direct HTTP call to another microservice might be acceptable for some systems. However, high-volume calls that invoke direct HTTP calls to multiple microservices aren't advisable. They can increase latency and negatively impact the performance, scalability, and availability of your system. Even worse, a long series of direct HTTP communication can lead to deep and complex chains of synchronous microservices calls, shown in Figure 4-9:

A message queue is an intermediary construct through which a producer and consumer pass a message. Queues implement an asynchronous, point-to-point messaging pattern.
Events
Message queuing is an effective way to implement communication where a producer can asynchronously send a consumer a message.
References:
https://www.xenonstack.com/blog/cloud-native-architecture/
https://www.oracle.com/sa/cloud/cloud-native/
https://www.oracle.com/technetwork/topics/entarch/cloud-native-app-development-wp-3664668.pdf

NEW QUESTION 53
As a cloud-native developer, you are designing an application that depends on Oracle Cloud Infrastructure (OCI) Object Storage wherever the application is running. Therefore, provisioning of storage buckets should be part of your Kubernetes deployment process for the application. Which should you leverage to meet this requirement?

• A. OCI Container Engine for Kubernetes
• B. Open Service Broker API
• C. Oracle Functions
• D. OCI Service Broker for Kubernetes

Answer: D

Explanation:
Adding OCI Service Broker for Kubernetes to Clusters:
Service brokers offer a catalog of backing services to workloads running on cloud native platforms. The Open Service Broker API is a commonly-used standard for interactions between service brokers and platforms. The Open Service Broker API specification describes a simple set of API endpoints that platforms use to provision, gain access to, and manage service offerings. For more information about the Open Service Broker API, see resources available online including those at openservicebrokerapi.org.
OCI Service Broker for Kubernetes is an implementation of the Open Service Broker API. OCI Service Broker for Kubernetes is specifically for interacting with Oracle Cloud Infrastructure services from Kubernetes clusters. It includes three service broker adapters to bind to the following Oracle Cloud Infrastructure services:
-Object Storage
-Autonomous Transaction Processing
-Autonomous Data Warehouse
References:
https://docs.cloud.oracle.com/en-us/iaas/Content/ContEng/Tasks/contengaddingservicebrokers.htm

NEW QUESTION 54
Which two statements are true for serverless computing and serverless architectures?

• A. Application DevOps team is responsible for scaling
• B. Applications running on a FaaS (Functions as a Service) platform
• C. Serverless function state should never be stored externally
• D. Long running tasks are perfectly suited for serverless
• E. Serverless function execution is fully managed by a third party

Answer: B,C

Explanation:
Oracle Functions is a fully managed, multi-tenant, highly scalable, on-demand, Functions-as-a-Service platform. It is built on enterprise-grade Oracle Cloud Infrastructure and powered by the Fn Project open source engine. Use Oracle Functions (sometimes abbreviated to just Functions) when you want to focus on writing code to meet business needs.
The serverless and elastic architecture of Oracle Functions means there's no infrastructure administration or software administration for you to perform. You don't provision or maintain compute instances, and operating system software patches and upgrades are applied automatically. Oracle Functions simply ensures your app is highly-available, scalable, secure, and monitored Applications built with a serverless infrastructure will scale automatically as the user base grows or usage increases. If a function needs to be run in multiple instances, the vendor's servers will start up, run, and end them as they are needed.
Oracle Functions is based on Fn Project. Fn Project is an open source, container native, serverless platform that can be run anywhere - any cloud or on-premises.
Serverless architectures are not built for long-running processes. This limits the kinds of applications that can cost-effectively run in a serverless architecture. Because serverless providers charge for the amount of time code is running, it may cost more to run an application with long-running processes in a serverless infrastructure compared to a traditional one.
https://docs.cloud.oracle.com/en-us/iaas/Content/Functions/Concepts/functionsconcepts.htm
https://www.cloudflare.com/learning/serverless/why-use-serverless/

NEW QUESTION 55
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