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NEW QUESTION 29
Which statement accurately describes Oracle Cloud Infrastructure (OCI) Load Balancer integration with OCI Container Engine for Kubernetes (OKE)?
- A. OCI Load Balancer instance must be manually provisioned for each Kubernetes service that requires traffic balancing.
- B. OKE service provisions a single OCI Load Balancer instance shared with all the Kubernetes services with LoadBalancer type in the YAML configuration.
- C. OCI Load Balancer instance provisioning is triggered by OCI Events service for each Kubernetes service with LoadBalancer type in the YAML configuration.
- D. OKE service provisions an OCI Load Balancer instance for each Kubernetes service with LoadBalancer type in the YAML configuration.
Answer: B
Explanation:
If you are running your Kubernetes cluster on Oracle Container Engine for Kubernetes (commonly known as OKE), you can have OCI automatically provision load balancers for you by creating a Service of type LoadBalancer instead of (or in addition to) installing an ingress controller like Traefik or Voyage YAML file
When you apply this YAML file to your cluster, you will see the new service is created. After a short time (typically less than a minute) the OCI Load Balancer will be provisioned.
https://oracle.github.io/weblogic-kubernetes-operator/faq/oci-lb/
NEW QUESTION 30
You created a pod called “nginx” and its state is set to Pending.
Which command can you run to see the reason why the “nginx” pod is in the pending state?
- A. kubect2 describe pod nginx
- B. kubect2 logs pod nginx
- C. Through the Oracle Cloud Infrastructure Console
- D. kubect2 get pod nginx
Answer: A
Explanation:
Debugging Pods
The first step in debugging a pod is taking a look at it. Check the current state of the pod and recent events with the following command:
kubectl describe pods ${POD_NAME}
Look at the state of the containers in the pod. Are they all Running? Have there been recent restarts?
Continue debugging depending on the state of the pods.
My pod stays pending
If a pod is stuck in Pending it means that it can not be scheduled onto a node. Generally this is because there are insufficient resources of one type or another that prevent scheduling. Look at the output of the kubectl describe … command above. There should be messages from the scheduler about why it can not schedule your pod.
https://kubernetes.io/docs/tasks/debug-application-cluster/debug-pod-replication-controller/
NEW QUESTION 31
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 Object Storage as persistent volume.
- B. Use OCI Block Volume backed persistent volume.
- C. Use GlusterFS as persistent volume.
- D. Use OCI File Services as persistent volume.
- E. Use open source storage solutions on top of OCI.
Answer: B,D
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 32
Which two statements accurately describe Oracle SQL Developer Web on Oracle Cloud Infrastructure (OCI) Autonomous Database?
- A. It is available for databases with both dedicated and shared Exadata infrastructure.
- B. After provisioning into an OCI compute Instance, it can automatically connect to the OCI Autonomous Databases instances.
- C. It must be enabled via OCI Identity and Access Management policy to get access to the Autonomous Databases instances.
- D. It is available for databases with dedicated Exadata infrastructure only.
- E. It provides a development environment and a data modeler interface for OCI Autonomous Databases.
Answer: D,E
Explanation:
Oracle SQL Developer Web
Oracle SQL Developer Web in Autonomous Data Warehouse provides a development environment and a data modeler interface for Autonomous Databases. SQL Developer Web is available for databases with both dedicated Exadata infrastructure and shared Exadata infrastructure.
https://docs.cloud.oracle.com/en-us/iaas/Content/Database/Tasks/adbtools.htm
NEW QUESTION 33
What is the communication method between different Cloud native applications services?
- A. Basic and synchronous
- B. Complex and synchronous
- C. Basic and asynchronous
- D. Complex and asynchronous
Answer: C
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 34
……
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