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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Fundamentals | 11% | - OCI developer services and tools overview - DevOps concepts and CI/CD workflows - Cloud-native principles and microservices architecture |
| Topic 2: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Centralized logging and metrics collection - Application performance monitoring and tracing - Troubleshooting containerized and serverless workloads |
| Topic 3: Testing and Securing Cloud Native Applications | 13% | - Testing strategies and secure deployment configurations - Secrets management with OCI Vault - Application security best practices |
| Topic 4: Cloud Native Applications and Containerization | 33% | - Oracle Container Registry (OCIR) usage - Building containerized applications with Docker - Deployment and management with Oracle Kubernetes Engine (OKE) |
| Topic 5: Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions development and management - API-driven architectures using API Gateway - Event-driven architecture with OCI Events, Streaming, and Queue |
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NEW QUESTION # 130
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)
Answer: D,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
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: B
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 # 132
Your organization is transitioning a monolithic billing system into a cloud-native microservices application deployed on Oracle Cloud Infrastructure Container Engine for Kubernetes. To maintain high operational excellence under the observability pillar of cloud-native development, the engineering team has successfully set up centralized log aggregation and system metrics. However, you must now implement a solution that can track, visualize, and analyze end-to-end transaction flows and asynchronous call hops across multiple distributed microservices.
Which service should be integrated to fulfill this distributed transaction tracing requirement?
Answer: D
Explanation:
OCI Application Performance Monitoring is specifically designed fordistributed tracingof application transactions across multiple components and services. Oracle states that APM collects and processes trace and span data, allowing administrators to analyze transaction performance, latency, volume, and errors across distributed applications. Trace Explorer can visualize traces containing multiple spans and help identify bottlenecks as requests move between services, databases, functions, and asynchronous components. OCI Monitoring concentrates primarily on metric streams, while Logging Analytics focuses on log aggregation and analysis. Service Mesh can provide service-to-service traffic telemetry and may participate in observability, but APM is the service designed to collect, correlate, and analyze distributed transaction traces.
Therefore, D directly satisfies the end-to-end tracing requirement.
NEW QUESTION # 133
You need to push a new Docker container image to a repository in the Oracle Cloud Infrastructure (OCI) Registry. Which mechanism must you use to provide authentication?
Answer: D
Explanation:
To push a new Docker container image to a repository in OCI Registry, you need to use an Auth Token to complete the authentication via the Docker CLI1. An Auth Token is a secure, auto-generated password that you can use to authenticate with OCI services such as OCI Registry1. You can generate an Auth Token in the Console by following these steps1:
* In the top-right corner of the Console, open the Profile menu and then click User settings to view the details.
* On the Auth Tokens page, click Generate Token.
* Enter a friendly description for the auth token. Avoid entering confidential information.
* Click Generate Token. The new auth token is displayed.
* Copy the auth token immediately to a secure location from where you can retrieve it later, because you won't see the auth token again in the Console.
* Close the Generate Token dialog. After generating an Auth Token, you need to log in to OCI Registry by entering docker login < region-key > .ocir.io in a terminal window on the client machine running Docker, where < region-key > corresponds to the key for the OCI Registry region you're using1. When prompted for a username, enter your username in the format < tenancy-namespace > / < username > , where < tenancy-namespace > is the auto-generated Object Storage namespace string of your tenancy1. When prompted for a password, enter the Auth Token you copied earlier1.
NEW QUESTION # 134
Which statement about microservices is FALSE?
Answer: D
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 # 135
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