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| Section | Weight | Objectives |
|---|---|---|
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Centralized logging and metrics collection - Troubleshooting containerized and serverless workloads - Application performance monitoring and tracing |
| Testing and Securing Cloud Native Applications | 13% | - Testing strategies and secure deployment configurations - Application security best practices - Secrets management with OCI Vault |
| Cloud Native Fundamentals | 11% | - Cloud-native principles and microservices architecture - DevOps concepts and CI/CD workflows - OCI developer services and tools overview |
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - Event-driven architecture with OCI Events, Streaming, and Queue - Oracle Functions development and management - API-driven architectures using API Gateway |
| Cloud Native Applications and Containerization | 33% | - Deployment and management with Oracle Kubernetes Engine (OKE) - Oracle Container Registry (OCIR) usage - Building containerized applications with Docker |
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NEW QUESTION # 126
You have just finished building and compiling the software required to implement the API microservice component. You need to rebuild the API docker image, and plan to tag it as: ocIdevops/api:latest Which docker command would re-create the API docker image?
Answer: D
Explanation:
The correct command to rebuild the API docker image and tag it as OCIdevops/api:latest is: docker build -t OCIdevops/api:latest The docker build command is used to build a Docker image from a Dockerfile. The -t flag is used to specify the name and optionally a tag for the image. In this case, the name of the image is OCIdevops/api and the tag is latest. By running this command, the Docker image will be recreated based on the instructions in the Dockerfile and tagged with the specified name and tag.
NEW QUESTION # 127
Your organization mandates that all containerized workloads deployed to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) must utilize Kubernetes NetworkPolicy resources, such as Calico, to enforce strict micro-segmentation of traffic. You have deployed these workloads to an enhanced OKE cluster using virtual node pools to minimize infrastructure maintenance. During testing, you discover that the Calico installation fails because NetworkPolicy resources and third-party CNI policy integrations are completely unsupported on this specific node configuration. How should you resolve this security implementation challenge while continuing to use VCN-Native Pod Networking?
Answer: A
Explanation:
Oracle explicitly states that virtual nodes do not support Kubernetes NetworkPolicy resources or network providers such as Calico and Cilium that provide NetworkPolicy enforcement. Virtual nodes support only OCI VCN-Native Pod Networking and cannot use Flannel or other third-party CNI plugins. By contrast, Calico can be installed with managed node pools while retaining VCN-native pod networking. This combination enables Kubernetes NetworkPolicy objects to enforce pod-level traffic controls and micro- segmentation. An IAM policy or network security list cannot substitute for Kubernetes NetworkPolicy because OCI network controls and Kubernetes pod policy enforcement operate at different layers. Therefore, when Calico-based NetworkPolicy enforcement is mandatory, migrating the workload from virtual nodes to managed node pools is the supported OKE architecture.
NEW QUESTION # 128
You deployed a Python application to an Oracle Container Engine for Kubernetes (OKE) cluster. However, while testing you found a bug, which you rectified and then created a new Docker image. You now need to ensure that if this new image does not work once deployed, you should be able to roll back to the previous version. Using kubect1, which strategy should you use?
Answer: A
Explanation:
A rolling update is a deployment strategy that gradually replaces the old version of an application with the new version without any downtime4. OKE supports rolling updates by using the kubectl rollout command4. A rolling update allows you to roll back to the previous version if something goes wrong with the new version4.
Therefore, using a rolling update strategy with kubectl ensures that you can roll back to the previous version of your Python application if the new image does not work once deployed.Verified References: Deploy Oracle Container Engine for Kubernetes
NEW QUESTION # 129
Which design pattern is used when a microservice needs to atomically perform a database write and send a notification event using a single local transaction?
Answer: A
Explanation:
The Transactional Outbox pattern addresses the distributed-system dual-write problem by recording both the business-state change and an outgoing event within one local database transaction. Rather than attempting to atomically update a database and independently publish to a messaging platform, the service writes the event into an outbox table alongside the business update. Because both database modifications occur within the same transaction, they commit or roll back together. A separate publisher subsequently reads the outbox and sends the event to the messaging infrastructure. Oracle ' s current microservices architecture documentation explicitly identifies Transactional Outbox as the pattern for sending a message and performing a data manipulation operation within a single local transaction. Saga and CQRS address different distributed-system concerns.
NEW QUESTION # 130
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)
Answer: B,E
Explanation:
The two true statements for serverless computing and serverless architectures are: Applications running on a FaaS (Functions as a Service) platform: Serverless architectures typically involve running code in the form of functions on a serverless platform. These functions are event-driven and executed in response to specific triggers or events. Serverless function execution is fully managed by a third party: In serverless computing, the cloud provider takes care of the infrastructure management and resource provisioning. The execution of serverless functions is handled automatically by the platform, relieving developers from the responsibility of managing servers or infrastructure. It ' s important to note that long running tasks are not typically suited for serverless architectures due to the event-driven nature of serverless functions. Also, while serverless functions may have state, it is recommended to avoid external storage dependencies and instead leverage stateless functions whenever possible. Additionally, scaling in serverless architectures is typically handled automatically by the platform, rather than being the responsibility of the application DevOps team.
NEW QUESTION # 131
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