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| Section | Weight | Objectives |
|---|---|---|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Cloud Native Applications and Containerization | 33% | - Oracle Cloud Infrastructure Registry
|
| Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions
|
| Cloud Native Fundamentals | 11% | - Cloud Native Principles
|
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NEW QUESTION # 25
Your organization is deploying a high-performance distributed deep learning training workload that requires GPU-enabled bare metal Compute instances connected through an ultra-low-latency Oracle Cloud Infrastructure (OCI) RDMA cluster network. To maximize processing efficiency and comply with strict corporate OS requirements, your team must use a custom, pre-hardened Oracle Linux operating system image that is not supported by default node pools. The containerized training jobs must be orchestrated and scheduled using your existing Container Engine for Kubernetes (OKE) control plane.
Which worker node deployment model must you implement?
Answer: A
Explanation:
OKE Self-Managed Nodes, also called Bring Your Own Nodes, provide the necessary infrastructure flexibility for specialized Compute workloads. Oracle states that self-managed nodes are Compute instances that customers create themselves and then attach to an enhanced OKE cluster. Because the instances are provisioned through OCI Compute rather than a managed OKE node pool, organizations can select specialized shape and image combinations unavailable to managed or virtual nodes. Oracle specifically cites GPU shapes, HPC shapes, and high-bandwidth, ultra-low-latency RDMA cluster networks as examples suited to self-managed nodes. This model also enables custom operating-system configuration. Virtual Nodes abstract the infrastructure entirely, while Managed Node Pools constrain supported infrastructure combinations. Therefore, Self-Managed Nodes satisfy all of the stated GPU, RDMA, and custom-image requirements.
NEW QUESTION # 26
Which annotation is required in a Kubernetes Service manifest of type LoadBalancer to provision a private load balancer rather than a public load balancer?
Answer: A
Explanation:
Oracle ' s OKE documentation explicitly specifies the annotation service.beta.kubernetes.io/oci-load-balancer- internal: " true " when a Kubernetes Service of type LoadBalancer must provision an internal OCI Load Balancer with a private IP address. The annotation is placed in the Service manifest ' s metadata.annotations section. If an alternative subnet must host the private load balancer, Oracle allows an additional subnet annotation, but the oci-load-balancer-internal setting remains the control that requests internal rather than public exposure. The annotation names in B, C, and D are not the documented OCI Load Balancer annotations for this purpose. Therefore, option A is the required configuration for creating a private/internal OCI Load Balancer through an OKE Kubernetes Service manifest.
NEW QUESTION # 27
Which container network interface plugin must be selected when creating an Oracle Cloud Infrastructure Container Engine for Kubernetes cluster that requires pod IP addresses to be directly routable from peered virtual cloud networks and on-premises environments?
Answer: A
Explanation:
The OCI VCN-Native Pod Networking CNI plugin assigns pod IP addresses directly from the OCI VCN address space instead of allocating addresses from a separate overlay network. Oracle specifically states that these pod IP addresses are directly routable from other VCNs connected through VCN peering and from on- premises networks. This architecture makes pods first-class participants in OCI networking and enables native VCN functionality such as network security groups, security lists, and VCN flow logs to be applied to pod traffic. Flannel uses an overlay model and therefore does not provide the required directly routable VCN pod addresses. Calico is commonly associated with Kubernetes NetworkPolicy enforcement rather than being the required OCI native routing CNI. Therefore, D is correct.
NEW QUESTION # 28
Which is the smalled unit of Kubernetes architecture?
Answer: C
Explanation:
The smallest unit of Kubernetes architecture is a Pod. A Pod is a logical grouping of one or more containers that are deployed together on the same host and share the same network namespace, storage, and other resources. It represents the smallest deployable unit in Kubernetes and is used to encapsulate and manage one or more closely related containers. Containers within a Pod are scheduled and deployed together, allowing them to communicate and share resources efficiently.
NEW QUESTION # 29
Which term describes a group formed by a master machine and a worker machine in a Kubernetes architecture?
Answer: B
Explanation:
The term that describes a group formed by a master machine and a worker machine in a Kubernetes architecture is " Cluster " . A cluster in Kubernetes consists of one or more master machines and multiple worker machines (also known as nodes). The master machine manages the overall control plane and orchestrates the deployment and management of containers on the worker nodes. The worker nodes are responsible for running the containers and executing the workloads. The cluster is the fundamental unit of organization and management in Kubernetes, providing the infrastructure and resources to run and manage containerized applications. It ensures high availability, scalability, and fault tolerance for the applications deployed within it.
NEW QUESTION # 30
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