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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Troubleshooting containerized and serverless workloads - Application performance monitoring and tracing - Centralized logging and metrics collection |
| Topic 2: Cloud Native Applications and Containerization | 33% | - Building containerized applications with Docker - Deployment and management with Oracle Kubernetes Engine (OKE) - Oracle Container Registry (OCIR) usage |
| Topic 3: Leveraging Serverless Technologies for Cloud Native Development | 33% | - Event-driven architecture with OCI Events, Streaming, and Queue - API-driven architectures using API Gateway - Oracle Functions development and management |
| Topic 4: Testing and Securing Cloud Native Applications | 13% | - Application security best practices - Testing strategies and secure deployment configurations - Secrets management with OCI Vault |
| Topic 5: Cloud Native Fundamentals | 11% | - OCI developer services and tools overview - Cloud-native principles and microservices architecture - DevOps concepts and CI/CD workflows |
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NEW QUESTION # 132
From a DevOps process standpoint, it is a good practice to keep changes to an application under version control. Which of the following allows changes to a Docker image to be stored in a version control system?
Answer: A
Explanation:
The option that allows changes to a Docker image to be stored in a version control system is: docker commit The docker commit command is used to create a new image from a container ' s changes. It takes a running container as input, captures the changes made to it, and creates a new image with those changes. This new image can then be tagged and pushed to a registry, or saved locally. By using docker commit, you can effectively capture the changes made to a container as a new image and store it in a version control system along with the Dockerfile and other project files. This allows for reproducibility and traceability of changes to the Docker image over time.
NEW QUESTION # 133
Which statement is NOT valid regarding the comparison between cloud-native and cloud-based applications?
Answer: B
Explanation:
Option C reverses a fundamental cloud-native characteristic. Oracle describes cloud-native applications as being designed for automated scale-up and scale-down in response to changing workload demand.
Technologies including containers, Kubernetes, serverless architectures, microservices, and automated DevOps processes are specifically intended to reduce manual infrastructure management. Oracle also identifies scalability, resilience, reduced operational overhead, and cost optimization through cloud consumption models as major cloud-native advantages. Applications migrated to cloud infrastructure without substantial architectural modernization can retain monolithic dependencies, fixed capacity assumptions, and manual provisioning practices. Therefore, claiming that cloud-native applications require manual host provisioning while cloud-based applications automatically scale by default is technically inverted. C is consequently the NOT valid statement among the available choices.
NEW QUESTION # 134
Your company has recently deployed a new web application that uses Oracle Functions. Your manager instructs you to implement monitoring metrics to manage your systems more effectively. You know that Oracle Functions automatically monitors functions on your behalf and reports metrics via Oracle Cloud Infrastructure (OCI) Monitoring. Which TWO metrics are collected and made available by this feature?
(Choose two.)
Answer: C,D
Explanation:
The correct answers are: Amount of RAM used by a function: Oracle Functions collects and reports the amount of memory (RAM) used by a function during its execution. This metric helps in monitoring and optimizing the resource consumption of functions. Length of time a function runs: Oracle Functions captures and provides the duration of function executions. This metric allows you to track the performance and responsiveness of your functions and identify any potential bottlenecks or delays. These metrics provide valuable insights into the resource utilization and performance of your functions, enabling you to monitor and optimize their behavior in the Oracle Cloud Infrastructure (OCI) environment.
NEW QUESTION # 135
You have two microservices, A and B running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which includes service B. Which approach should you take to test service A?
Answer: D
Explanation:
The correct answer is: Test using an API mock of service B. To test service A without deploying all of its dependencies, including service B, you can use an API mock of service B. An API mock is a simulated version of the API that mimics the behavior of the actual service. By using an API mock, you can isolate the testing of service A and simulate the responses and behavior of service B ' s APIs. With an API mock, you can define the expected responses and behavior of service B ' s APIs, allowing you to test the integration between service A and the mocked version of service B. This approach enables you to verify the functionality of service A without relying on the availability or changes in the actual service B. By decoupling the dependencies and using an API mock, you can perform independent testing of service A, ensuring its functionality in isolation.
NEW QUESTION # 136
You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. It has multiple endpoints that need to be exposed to the public internet.
What is the most cost-effective way to expose multiple application endpoints without adding unnecessary complexity to the application?
Answer: A
Explanation:
An Ingress Controller is a Kubernetes resource that provides advanced routing and load balancing for your applications running on a Kubernetes cluster1. An Ingress Controller allows you to define rules that specify how to route traffic to different services in your cluster based on the host name or path of the incoming request1. By deploying an Ingress Controller and using it to expose multiple application endpoints, you can achieve the following benefits1:
* Cost-effectiveness: You only need to create one load balancer instance per cluster, instead of one per service, which reduces the cost of exposing your applications.
* Simplicity: You only need to manage one set of routing rules for all your services, instead of configuring each service separately, which simplifies the application deployment and maintenance.
* Flexibility: You can use different types of Ingress Controllers, such as NGINX or Traefik, that offer various features and customization options for your routing needs.
NEW QUESTION # 137
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