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| Section | Weight | Objectives |
|---|---|---|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Queue
|
| Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Cloud Native Applications and Containerization | 33% | - Docker and Containerization
|
| Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
|
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NEW QUESTION # 46
What can you use to dynamically make Kubernetes resources discoverable to public DNS servers? (Choose the best answer.)
Answer: B
Explanation:
To dynamically make Kubernetes resources discoverable to public DNS servers, you can use ExternalDNS.
ExternalDNS is a Kubernetes add-on that automates the management of DNS records for your Kubernetes services and ingresses. It can be configured to monitor the changes in your Kubernetes resources and automatically update DNS records in a supported DNS provider. By integrating ExternalDNS with your Kubernetes cluster, you can ensure that the DNS records for your services and ingresses are automatically created, updated, or deleted based on changes in your Kubernetes resources. This allows your Kubernetes resources to be discoverable by external systems through public DNS servers.
NEW QUESTION # 47
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)
Answer: C,D
Explanation:
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery involves automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.
NEW QUESTION # 48
With the volume of communication that can happen between different components in cloud-native applications, it is vital to not only test functionality, but also service resiliency. Which statement is true regarding service resiliency?
Answer: C
Explanation:
The correct answer is: " Resiliency is about recovering from failures without downtime or data loss. " Service resiliency, in the context of cloud-native applications, is the ability of a service or system to recover from failures and continue functioning without downtime or data loss. It involves designing and implementing mechanisms to handle failures, such as network outages, hardware failures, or software errors, in a way that minimizes the impact on the overall system. The goal of resiliency is to ensure that the application or service can continue to operate and provide a certain level of functionality, even in the face of failures. This typically involves techniques such as redundancy, fault tolerance, and graceful degradation. By implementing resiliency measures, a cloud-native application can recover and adapt to failures, maintain availability, and preserve data integrity. The other statements are not accurate regarding service resiliency: Resiliency is not about not bringing a service to a functioning state after a failure. Instead, it is about recovering from failures and ensuring continued functionality. Resiliency is not about avoiding failures entirely. While it is desirable to prevent failures, resiliency focuses on the ability to handle and recover from failures when they do occur.
Resiliency testing is not limited to a test environment. It is important to test and validate the resiliency measures in both test environments and production environments to ensure the application can effectively handle failures in real-world scenarios.
NEW QUESTION # 49
Which statement is NOT valid regarding autoscaling configurations in Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE)?
Answer: A
Explanation:
Oracle explicitly lists Kubernetes Cluster Autoscaler among the deploymentsnot supported when using OKE virtual nodes. Virtual nodes provide a serverless data-plane model in which Oracle manages the underlying compute capacity, so customers do not resize a conventional virtual-node pool through Kubernetes Cluster Autoscaler. Cluster Autoscaler remains applicable to managed node pools, where worker-node capacity can be increased or decreased according to scheduling demand. Oracle also identifies Vertical Pod Autoscaler as unsupported on virtual nodes, while Metrics Server is supported through a deployment method adapted for virtual nodes. Horizontal Pod Autoscaler operates at the pod/deployment level and can adjust replica counts without requiring customers to resize virtual-node infrastructure. Therefore, B is the NOT valid statement because it incorrectly claims Cluster Autoscaler can resize both managed and virtual node pools.
NEW QUESTION # 50
You are building a secure containerized application on Container Engine for Kubernetes (OKE) that must access OCI resources securely using OKE Workload Identity. Which cluster type must you select during creation to enable support for OKE Workload Identity?
Answer: B
Explanation:
OKE Workload Identity is anenhanced-cluster capability. Oracle ' s current Kubernetes Engine documentation explicitly lists workload identity as supported by Enhanced clusters and not supported by Basic clusters.
Workload Identity enables IAM policies to authorize individual Kubernetes workloads according to attributes such as cluster, namespace, and service account, avoiding broader permissions inherited from worker-node instance principals. Basic clusters support standard Kubernetes and OKE functionality but exclude enhanced capabilities including Workload Identity, virtual nodes, self-managed nodes, and advanced cluster add-on management. "Dedicated cluster" and "Autonomous cluster" are not the OKE cluster types used for this feature classification. Therefore, an application architecture requiring OKE Workload Identity must use an Enhanced cluster, making option A correct.
NEW QUESTION # 51
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