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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Events
|
| Topic 2: Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Topic 3: Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
|
| Topic 4: Cloud Native Applications and Containerization | 33% | - Container Orchestration
|
| Topic 5: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Testing
|
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NEW QUESTION # 137
Which technique is used for testing the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies?
Answer: C
Explanation:
End-to-end testing is a technique that involves checking the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies3. End-to-end testing simulates real user scenarios and validates the functionality, performance, reliability, and security of the app from start to finish3. End-to-end testing has several benefits, such as3:
* Comprehensive testing: You can test your app as a whole and verify that all the components work together as expected.
* User-centric testing: You can test your app from the user's perspective and ensure that it meets the user' s needs and expectations.
* Quality assurance: You can test your app in a realistic environment and identify any issues or defects before releasing it to the users.
NEW QUESTION # 138
Which statement about microservices is FALSE?
Answer: C
Explanation:
The correct answer is: " Multiple microservices can run in one process. " The statement that is FALSE about microservices is: " Multiple microservices can run in one process. " Microservices are designed to be independent and autonomous services that can be deployed, scaled, and managed separately. Each microservice typically runs as its own separate process. This separation allows for loose coupling and independent scalability of individual services. Running multiple microservices in a single process would violate the fundamental principle of microservices architecture, which emphasizes the isolation and independence of services. Combining multiple microservices into a single process would tightly couple them, making it difficult to independently manage, scale, and update each service. The other statements provided are true about microservices: It is fairly common for microservices to communicate with HTTP: Microservices often communicate with each other using lightweight protocols like HTTP/REST. This allows for interoperability, flexibility, and ease of communication between microservices. Microservices are typically designed around business capabilities: Microservices architecture advocates designing services based on specific business capabilities or functionalities. Each microservice focuses on a specific business domain or task, enabling modular and scalable development. They are independently deployable: Microservices are designed to be independently deployable units. This means that each microservice can be developed, tested, deployed, and updated separately without affecting other services. This flexibility allows for faster development cycles and more efficient scalability.
NEW QUESTION # 139
Having created a Container Engine for Kubernetes (OKE) cluster, you can use Oracle Cloud Infrastructure (OCI) Logging to view and search the logs of applications running on the worker node compute instances in the cluster. Which task is NOT required to collect and parse application logs? (Choose the best answer.)
Answer: C
Explanation:
The correct answer is: Enable monitoring for all worker nodes in the cluster. Enabling monitoring for all worker nodes in the cluster is not required to collect and parse application logs using Oracle Cloud Infrastructure (OCI) Logging. Monitoring is a separate feature that allows you to collect metrics and monitor the health and performance of the worker nodes. To collect and parse application logs, you need to perform the following tasks: Set the OCI Logging option to Enabled for the cluster: This enables the OCI Logging service for the cluster. Create a dynamic group with a rule that includes all worker nodes in the cluster: This helps in targeting the logs generated by the worker nodes. Configure a custom log in OCI Logging with the appropriate agent configuration: This involves specifying the log source, log path, and log format to parse and collect the application logs. By completing these tasks, you can collect and parse the application logs generated by the applications running on the worker node compute instances in the OKE cluster.
NEW QUESTION # 140
Which TWO statements are correct regarding Docker images and containers? (Choose two.)
Answer: B,E
Explanation:
Which TWO statements are correct regarding Docker images and containers? (Choose two.) Writing and building a new Dockerfile is the only way you can create new Docker images. A container can exist without an image but an image cannot exist without a container. Only one container can be spawned from a given image at a time. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. (Correct) An image is a collection of immutable layers whereas a container is a running instance of an image. (Correct) ChatGPT The correct statements regarding Docker images and containers are: If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. This statement is correct. When multiple containers are created from the same Docker image, they share the underlying layers of the image in memory. Each container has its own isolated filesystem and runtime environment, but they all use the same base image, which helps in efficient resource utilization. An image is a collection of immutable layers whereas a container is a running instance of an image. This statement is also correct. Docker images are composed of multiple layers, with each layer representing a specific change or addition to the previous layer. These layers are read-only and can be shared among multiple containers. On the other hand, a container is a lightweight and isolated runtime instance created from a specific image. It is a running process that has its own filesystem, network, and runtime configuration. The statements " Writing and building a new Dockerfile is the only way you can create new Docker images " and " A container can exist without an image but an image cannot exist without a container " are incorrect. Docker images can be created in various ways, including using Dockerfiles, importing from existing images, or pulling from registries. Additionally, a container requires an image to run, so an image must exist before a container can be created from it.
NEW QUESTION # 141
Which is NOT a valid backend-type option available when configuring an Oracle Cloud Infrastructure (OCI) API Gateway Deployment?
Answer: C
Explanation:
When configuring an OCI API Gateway deployment, you need to specify the backend type for each route in your API deployment specification3. The backend type determines how the API gateway handles requests to that route and forwards them to the appropriate backend service3. The following backend types are valid options for an OCI API Gateway deployment3:
* HTTP_BACKEND: The API gateway forwards requests to an HTTP or HTTPS URL as the backend service.
* ORACLE_FUNCTIONS_BACKEND: The API gateway invokes an Oracle Functions function as the backend service.
* STOCK_RESPONSE_BACKEND: The API gateway returns a stock response without invoking any backend service. ORACLE STREAMS_BACKEND is not a valid backend type for an OCI API Gateway deployment. Oracle Streams is a fully managed, scalable, and durable messaging service that you can use to ingest and consume large amounts of data in real-time4. However, Oracle Streams is not supported as a backend service for an OCI API Gateway deployment.
NEW QUESTION # 142
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