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| Section | Weight | Objectives |
|---|
| Topic 1: Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
- 1. Use OCI Monitoring to view metrics
- OCI Logging
- 1. Search and analyze logs
- 2. Enable and manage logs
- Monitoring, Logging, and Tracing
- 1. Perform monitoring, logging, and tracing tasks
- 2. Troubleshoot cloud native applications
|
| Topic 2: Cloud Native Fundamentals | 11% | - Cloud Native Principles
- 1. Fundamentals of cloud native development
- 2. Key pillars of cloud native development
- Microservices Architecture
- 1. Microservices design methodology
- 2. Microservices architecture
|
| Topic 3: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
- 1. Apply security measures for cloud native development
- 2. Manage sensitive configuration information
- 3. Use OCI Vault to securely manage encryption keys
- Cloud Native Testing
- 1. Cloud native testing methodologies
- 2. Testing strategies for cloud native applications
|
| Topic 4: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Events
- 1. Build event-driven serverless applications
- API Gateway
- 1. Process traffic from API clients
- 2. Route API traffic to backend services
- OCI Streaming
- 1. Use streaming for serverless and managed application architectures
- 2. Integrate systems using OCI Streaming
- Oracle Functions
- 1. Develop serverless applications with Oracle Functions
- OCI Queue
- 1. Implement asynchronous messaging for microservices
|
| Topic 5: Cloud Native Applications and Containerization | 33% | - Container Orchestration
- 1. Deploy containerized applications on Oracle Kubernetes Engine
- 2. Role of container orchestration
- Oracle Cloud Infrastructure Registry
- 1. Push container images to OCIR
- 2. Pull container images from OCIR
- Docker and Containerization
- 1. Containerization concepts
- 2. Docker architecture and components
|
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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q65-Q70):
NEW QUESTION # 65
What is the open source engine for Oracle Functions?
- A. Fn Project
- B. OpenFaas
- C. Knative
- D. Apache OpenWhisk
Answer: A
Explanation:
The Fn Project is an open source serverless computing platform that serves as the engine for Oracle Functions. It provides a runtime environment for executing functions in a serverless architecture. The Fn Project enables developers to build and deploy functions using different programming languages, including Java, Python, Node.js, and more. The Fn Project is designed to be flexible and extensible, allowing developers to define functions as small units of code and execute them in response to events or triggers. It supports event- driven execution, allowing functions to be triggered by various events such as HTTP requests, messages from messaging systems, or changes in data. Oracle Functions leverages the Fn Project as its underlying engine, providing a managed serverless platform within the Oracle Cloud Infrastructure. It allows developers to easily develop, deploy, and manage functions using the familiar Fn Project framework and tooling. With Oracle Functions, developers can focus on writing their function code while leaving the infrastructure management, scaling, and operational tasks to the platform.
NEW QUESTION # 66
To effectively test your cloud native applications for " unknown unknowns " , you need to employ various testing and deployment strategies. Which strategy involves exposing new functionality or features to only a small set of users?
- A. Blue/Green Deployment
- B. Component Testing
- C. Canary Deployment
- D. A/B Testing
Answer: C
Explanation:
The strategy that involves exposing new functionality or features to only a small set of users is called Canary Deployment. Canary deployment is a technique used in software development and deployment where a new version of an application or feature is released to a small subset of users or a specific group of servers. This allows for testing and gathering feedback on the new functionality in a controlled and limited environment before making it available to a wider audience. In a canary deployment, a small portion of the traffic is routed to the new version while the majority of the traffic still goes to the stable version. This allows for monitoring and evaluation of the new functionality in real-world conditions while minimizing the impact of any potential issues or bugs. If the new version performs well and meets the desired criteria, it can then be gradually rolled out to a larger user base or all servers. By exposing the new functionality or features to a small set of users initially, canary deployment helps in identifying any unforeseen issues, gathering feedback, and ensuring the stability and reliability of the application before a full deployment.
NEW QUESTION # 67
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?
- A. docker create -t OCIdevops/api:latest
- B. docker compile -t OCI devops/api:latest
- C. docker build -t OCIdevops/api:latest
- D. docker image -t OCIdevops/api:latest
Answer: C
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 # 68
You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. Your security team wants to use SSL termination for this application.
What should you do to create a secure SSL termination for this application using the fewest steps possible?
- A. Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.beta.
kubernetes.io/oci-load-balancer-ssl-ports: " 443 " service.beta.kubernetes.io/oci-load-balancer-tls- secret: ssl certificate-secret - B. Add these annotations to the kubernetes service: annotations: service.beta.kubernetes.io/oci-load- balancer-ssl-ports: " 443 " service.beta.kubernetes.io/oci-load-balancer-ssl-secret-key: ssl secret-key
- C. Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.beta.
kubernetes.io/oci-load-balancer-ssl-ports: " 443 " service.beta.kubernetes.io/oci-load-balancer-security- list management-mode: " Frontend " - D. Generate a self-signed certificate using Let ' s Encrypt. Use that certificate on OCI Load Balancer.Create the Kubernetes service using this load balancer.
Answer: A
Explanation:
The correct answer is: " Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.
beta.kubernetes.io/oci-load-balancer-ssl-ports: ' 443 ' service.beta.kubernetes.io/oci-load-balancer-tls-secret:
ssl certificate-secret. " To create a secure SSL termination for your microservices-based application running in an OCI Container Engine for Kubernetes (OKE) cluster, you can follow these steps: Create a self-signed certificate and its corresponding key: Generate a self-signed SSL certificate and its private key using a tool like OpenSSL. Create a Kubernetes secret: Create a Kubernetes secret using the certificate and key obtained in the previous step. This secret will securely store the certificate and key within the Kubernetes cluster. Add annotations to the Kubernetes service: Modify the Kubernetes service that exposes your application and add the following annotations to enable SSL termination: annotations: service.beta.kubernetes.io/oci-load- balancer-ssl-ports: ' 443 ' (specify the SSL port as 443) annotations: service.beta.kubernetes.io/oci-load- balancer-tls-secret: ssl certificate-secret (specify the name of the Kubernetes secret containing the certificate and key) By following these steps, you can create a secure SSL termination for your application using a self- signed certificate and Kubernetes secret. The annotations added to the Kubernetes service ensure that the SSL port is configured correctly and the TLS secret is utilized for SSL termination when traffic reaches the load balancer. The other options provided are not the most suitable approaches for achieving secure SSL termination in an OCI Container Engine for Kubernetes (OKE) cluster: Adding annotations related to the OCI load balancer SSL secret key is not the correct approach for SSL termination in this scenario. Using Let ' s Encrypt to generate a self-signed certificate and configuring it on the OCI Load Balancer is not necessary when you can create and manage the SSL certificate within the Kubernetes cluster using a Kubernetes secret.
NEW QUESTION # 69
Which feature is typically NOT associated with Cloud Native?
- A. Declarative APIs
- B. Containers
- C. Immutable Infrastructure
- D. Service Meshes
- E. Application Servers
Answer: E
Explanation:
The feature that is typically NOT associated with Cloud Native is " Application Servers. " Cloud Native architecture emphasizes lightweight, scalable, and containerized deployments, which often replace traditional monolithic application servers. Instead of relying on application servers, Cloud Native applications are typically deployed as containerized microservices that can be orchestrated and managed using container orchestration platforms like Kubernetes. This approach enables greater flexibility, scalability, and agility in deploying and managing applications. While application servers have been widely used in traditional application architectures, they are not a characteristic feature of Cloud Native architectures. Cloud Native architectures focus on containerization, declarative APIs, immutable infrastructure, and service meshes to enable efficient and scalable deployment and management of applications.
NEW QUESTION # 70
......
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