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| Section | Weight | Objectives |
|---|---|---|
| Testing and Securing Cloud Native Applications | 13% | - Application security best practices - Testing strategies and secure deployment configurations - Secrets management with OCI Vault |
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions development and management - Event-driven architecture with OCI Events, Streaming, and Queue - 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 |
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Troubleshooting containerized and serverless workloads - Application performance monitoring and tracing - Centralized logging and metrics collection |
| Cloud Native Fundamentals | 11% | - Cloud-native principles and microservices architecture - OCI developer services and tools overview - DevOps concepts and CI/CD workflows |
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NEW QUESTION # 67
(CHK_1 > 3) You have an e-commerce application that loads customers ' transactional data into the Oracle Cloud Infrastructure (OCI) Streaming service. The data must now be extracted and transformed before sending it to a third-party REST endpoint. You have been directed to leverage the OCI Service Connector Hub to automate this process. Which configuration option would address this requirement?
Answer: D
Explanation:
To address the requirement of extracting and transforming data from the Oracle Cloud Infrastructure (OCI) Streaming service and sending it to a third-party REST endpoint using the OCI Service Connector Hub, the best configuration option is: Configure a new service connector as follows: * Source: Streaming * Task: None
* Target: Notifications By selecting the Streaming service as the source, you can capture the transactional data from the stream. Since there is a need to transform and send the data to a third-party REST endpoint, you don
' t need to specify any specific task in the connector. The target is set to Notifications, which allows you to send the transformed data to an endpoint outside of the OCI environment. Notifications can be configured to deliver the data to various supported destinations, including HTTP endpoints, email addresses, and more. This configuration enables you to automate the process of extracting data from the streaming service and sending it to the desired third-party REST endpoint, fulfilling the requirement of extracting, transforming, and forwarding the data.
NEW QUESTION # 68
Which component of the Docker architecture is the persistent background service responsible for managing container lifecycles, local images, networks, and storage volumes?
Answer: D
Explanation:
The Docker daemon, implemented as the dockerd background process, runs continuously on a Docker host and performs the server-side container-management operations requested through the Docker API. It manages container execution, images, storage drivers and volumes, and networking. The Docker client is the command interface that sends requests to that daemon; it does not itself manage container lifecycles. A Docker registry such as OCIR stores and distributes images remotely, while Docker Compose describes and coordinates multi- container application configurations. Oracle ' s Linux container documentation explicitly refers to the Docker Engine daemon and its dockerd process, and Oracle Functions troubleshooting likewise distinguishes the local Docker client/daemon from the remote registry. Therefore, the persistent management component described in the question is the Docker Daemon.
NEW QUESTION # 69
Your development team has deployed a fleet of web application servers across three fault domains in a specific compartment in OCI. To simplify operational dashboards, you must construct a single Monitoring Query Language (MQL) expression that calculates the average CPU utilization for each individual fault domain, rather than plotting each server individually. The expression must output exactly three lines, one for each fault domain, on the resulting Metrics Explorer chart.
Which MQL expression correctly fulfills these requirements?
Answer: B
Explanation:
Oracle Monitoring documents groupBy(x) specifically for aggregating metric streams according to a shared dimension. Oracle ' s own fault-domain example uses the exact expression CpuUtilization[1m].groupBy (faultDomain).mean(). The resulting chart contains one aggregated metric stream for each fault domain, which means a compartment containing three fault domains produces three lines rather than one line per Compute instance. grouping() combines all selected metric streams into a single aggregate instead of retaining separate fault-domain groups. filter(faultDomain) is not the appropriate MQL grouping operation, and split() is not the documented operator for this requirement. Because the scenario requires mean CPU utilization separately aggregated for each value of the faultDomain dimension, option B exactly matches Oracle ' s documented MQL pattern.
NEW QUESTION # 70
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)
Answer: B
Explanation:
The correct answer is: In blue/green deployment, both old and new applications are in production at the same time. In canary deployment, the application is deployed incrementally to a select group of people. In a blue
/green deployment strategy, two identical environments, referred to as blue and green, are set up. The current production environment (blue) continues to serve live traffic while a new version of the application is deployed in the green environment. Once the new version is tested and deemed stable, traffic is routed from the blue environment to the green environment, making it the new production environment. This approach allows for a seamless switch between the old and new versions of the application. On the other hand, in a canary deployment strategy, the new version of the application is deployed incrementally to a small subset of users or a specific group. This allows for testing the new version in a real production environment while minimizing the impact of any potential issues. If the new version performs well and meets the desired criteria, it can be gradually rolled out to a larger audience or the entire user base. In summary, the main difference between blue/green and canary deployment strategies lies in how the deployment is managed. Blue/green involves simultaneous production of both old and new applications, while canary deployment focuses on incremental deployment to a select group of users.
NEW QUESTION # 71
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: B
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 # 72
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