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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q69-Q74):
NEW QUESTION # 69
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?
- A. Unit Testing
- B. Contract Testing
- C. End-to-end Testing
- D. Component Testing
- E. Integration Testing
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 # 70
A service you are deploying to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) uses a docker image from a private repository in OCI Registry (OCIR). Which configuration is necessary to provide access to this repository from OKE?
- A. Create a dynamic group for nodes in the cluster, and a policy that allows the dynamic group to read repositories in the same compartment.
- B. Create a docker-registry secret for OCIR with identity Auth Token on the cluster, and specify the imagePullSecret property in the application deployment manifest.
- C. Create a docker-registry secret for OCIR with API key credentials on the cluster, and specify the imagePullSecret property in the application deployment manifest.
- D. Add a generic secret on the cluster containing your identity credentials. Then specify a registryCredentials property in the deployment manifest.
Answer: B
Explanation:
The necessary configuration to provide access to a private repository in OCI Registry (OCIR) from OCI Container Engine for Kubernetes (OKE) is to create a docker-registry secret for OCIR with an identity Auth Token on the cluster and specify the imagePullSecret property in the application deployment manifest. Here's the breakdown of the steps: Create a docker-registry secret for OCIR with an identity Auth Token: In order to authenticate with the private repository in OCIR, you need to create a secret in your OKE cluster that contains the necessary credentials. This can be done by generating an identity Auth Token from the OCI Console and creating a secret in the cluster using the kubectl command. Specify the imagePullSecret property in the application deployment manifest: In your application's deployment manifest (such as a Kubernetes Deployment or StatefulSet YAML file), you need to include the imagePullSecret property and specify the name of the secret you created in the previous step. This allows the OKE cluster to use the credentials from the secret to pull the docker image from the private repository in OCIR during deployment. By following these steps, you can ensure that your OKE cluster has the necessary access to the private repository in OCIR, and your application can successfully pull the required docker image during deployment.
NEW QUESTION # 71
Your team has created a serverless application deployed in Oracle Functions. It uses a Python function leveraging the Oracle Cloud Infrastructure (OCI) Python SDK to stop any OCI compute instance that does not comply with your corporate security standards. Although there are three non-compliant OCI compute instances, when you invoke this function, none of the instances were stopped. With respect to this issue, which of the following is a valid troubleshooting strategy?
- A. Enable function remote debugging in the OCI console, and then use your favorite IDE to inspect the function running on Oracle Functions.
- B. Enable function tracing in the OCI console, and then go to the OCI Monitoring console to view the function stack trace.
- C. Enable function logging in the OCI console, add some print statements in your function code, and then view the logs to troubleshoot.
- D. Ensure that the application is deployed within the same OCI compartment as the instance, because you cannot enable function execution data from the OCI console.
Answer: C
Explanation:
The valid troubleshooting strategy in this scenario is to enable function logging in the OCI console, add some print statements in your function code, and then view the logs to troubleshoot. Enabling function logging allows you to capture and store logs generated by your function during its execution. By adding print statements or log statements in your function code, you can output relevant information and debug messages to the logs. This helps you understand the execution flow, identify any errors or issues, and gather more information about the function's behavior. To troubleshoot the issue of the Python function not stopping the non-compliant OCI compute instances, you can follow these steps: Enable function logging in the OCI console: Enable logging for your function to ensure that logs are captured during its execution. Modify your function code: Add relevant print statements or log statements at key points in your code to output debug information or verify the execution flow. For example, you can print the instance details that are being evaluated for compliance. Invoke the function: Trigger the function execution either through an event or manually. View the logs: Access the function logs in the OCI console or retrieve them programmatically. Look for the expected print statements or log entries that indicate the status of each instance and the decisions made by the function. By reviewing the logs, you can analyze the output and identify any issues or discrepancies. It can help you determine if the function is correctly evaluating the compliance criteria, retrieving the instance details, or making the necessary API calls to stop the instances. You may need to adjust your code logic or investigate further based on the information provided in the logs. Enabling function remote debugging is not a suitable strategy in this case because it is primarily used for inspecting and debugging the function code during development, rather than troubleshooting issues in a deployed function. Enabling function tracing can provide insights into the execution flow and performance of the function but may not directly address the issue of the instances not being stopped. Ensuring that the application is deployed within the same OCI compartment as the instance is not directly related to troubleshooting the issue with the non-compliant instances. It is a consideration for access and permissions but does not provide specific insights into the problem at hand. Remember to refer to the Oracle Functions documentation and consult the official resources for detailed instructions and best practices on troubleshooting and monitoring Oracle Functions.
NEW QUESTION # 72
In the shared responsibility model, who should perform patching, upgrading, and maintaining of the worker nodes in provisioned Oracle Container Engine for Kubernetes (OKE) clusters?
- A. It is the responsibility of the customer.
- B. It is an automated process.
- C. Oracle Support does it.
Answer: A
Explanation:
In the shared responsibility model, Oracle is responsible for securing the underlying cloud infrastructure and platform services, while customers are responsible for securing their data and applications within the cloud4. For provisioned OKE clusters, Oracle manages the control plane (master nodes) of the Kubernetes cluster, while customers manage the data plane (worker nodes) of the cluster5. Therefore, it is the responsibility of the customer to perform patching, upgrading, and maintaining of the worker nodes in provisioned OKE clusters5. Customers can use tools such as Terraform or kubectl to automate these tasks5.
NEW QUESTION # 73
Your team has been tasked with debugging a Cloud Native application developed using the following Oracle Cloud Infrastructure (OCI) services: Object Storage, Events, Functions, API Gateway, and Autonomous Database. Which of these is NOT a valid option for troubleshooting issues in OCI? (Choose the best answer.)
- A. Leverage OCI Cloud Guard to extract and visualize the debug logs generated by your application.
- B. Trace performance issues In the Application Performance Monitoring service by enabling Function traces.
- C. Use OCI Service Connector Hub to configure a service connector to automatically send logs to the OCI Logging Analytics service.
- D. Configure the application to send logs to the OCI Logging service.
- E. View service metric information from the OCI Monitoring service.
Answer: B
Explanation:
To troubleshoot issues in OCI, the option that is not valid is: Trace performance issues in the Application Performance Monitoring service by enabling Function traces. While the Application Performance Monitoring service in OCI allows you to monitor and trace the performance of your applications, it is specifically designed for monitoring OCI Functions (serverless functions) and does not directly apply to all types of applications. The other options mentioned, such as configuring logs in the OCI Logging service, leveraging OCI Cloud Guard for debug logs, viewing service metrics in the OCI Monitoring service, and using OCI Service Connector Hub for log forwarding, are valid options for troubleshooting and monitoring applications in OCI.
NEW QUESTION # 74
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