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| Section | Weight | Objectives |
|---|---|---|
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Application performance monitoring and tracing - Centralized logging and metrics collection - Troubleshooting containerized and serverless workloads |
| Cloud Native Fundamentals | 11% | - DevOps concepts and CI/CD workflows - OCI developer services and tools overview - Cloud-native principles and microservices architecture |
| 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 |
| Cloud Native Applications and Containerization | 33% | - Building containerized applications with Docker - Oracle Container Registry (OCIR) usage - Deployment and management with Oracle Kubernetes Engine (OKE) |
| Testing and Securing Cloud Native Applications | 13% | - Application security best practices - Testing strategies and secure deployment configurations - Secrets management with OCI Vault |
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NEW QUESTION # 79
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?
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 # 80
Which OCI CLI command generates or merges the cluster configuration file required to authorize kubectl access to an OKE cluster?
Answer: D
Explanation:
Oracle documents oci ce cluster create-kubeconfig as the OCI CLI operation used to create the Kubernetes configuration file required for access to an OKE cluster. The command accepts the cluster OCID through -- cluster-id and, by default, writes or updates $HOME/.kube/config. The resulting kubeconfig contains the cluster endpoint and the OCI CLI authentication mechanism that enables kubectl to obtain authentication tokens when communicating with the Kubernetes API server. Commands named update-kubeconfig, download-kubeconfig, and generate-kubeconfig are not valid OCI CLI subcommands for this operation.
Therefore, oci ce cluster create-kubeconfig is the documented command for establishing the local kubeconfig required to administer an OKE cluster through kubectl.
NEW QUESTION # 81
Which is ONE of the differences between a microservice and a serverless function?
Answer: A
Explanation:
The correct answer is: Microservices are used for long running operations while serverless functions are used for short running operations. One of the key differences between microservices and serverless functions is the duration of their execution. Microservices are typically designed to handle long-running operations and may continuously run and process requests as part of a larger system. They are often deployed and managed as long-lived services. On the other hand, serverless functions are designed to handle short-lived operations or tasks that execute in response to specific events or triggers. They are event-driven and execute only when invoked, providing a lightweight and ephemeral computing model. Serverless functions are often used for executing small, isolated pieces of code without the need for managing infrastructure or scaling concerns.
While both microservices and serverless functions can be stateless or stateful depending on the specific implementation, the key distinction lies in the typical duration and execution pattern of these components within an application architecture.
NEW QUESTION # 82
Which two " Action Type " options are NOT available in an Oracle Cloud Infrastructure (OCI) Events rule definition? (Choose two.)
Answer: B,C
Explanation:
The two " Action Type " options that are NOT available in an Oracle Cloud Infrastructure (OCI) Events rule definition are: Email (Correct) Slack (Correct) The available " Action Type " options in OCI Events rule definition include Functions, Notifications, and Streaming. However, email and Slack are not directly supported as action types in OCI Events. Instead, you can use Notifications to send notifications to various notification channels, including email and Slack, through the OCI Notifications service.
NEW QUESTION # 83
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)
Answer: A,B
Explanation:
The two main reasons to choose a serverless architecture are: Automatic horizontal scaling: Serverless architectures allow for automatic scaling of resources based on demand. The infrastructure automatically provisions and scales resources as needed, ensuring that applications can handle varying workloads efficiently. This eliminates the need for manual scaling and optimizes resource utilization. Reduced operational cost: Serverless architectures follow a pay-per-use model, where you are billed only for the actual execution time and resources consumed by your functions. This leads to cost savings as you don ' t have to pay for idle resources. Additionally, serverless architectures remove the need for managing and maintaining servers, reducing operational overhead and associated costs.Explanation: No need for integration testing:
Integration testing is still necessary in serverless architectures to ensure that functions integrate correctly with other components and services. Serverless functions can interact with various event sources, databases, and APIs, and testing is required to verify the integration points. Improved in-function state management:
Serverless architectures typically encourage stateless functions that operate on short-lived requests or events.
While there are mechanisms to manage state within a function, serverless architectures are designed to be stateless by default, promoting scalability and fault tolerance. Easier to run long-running operations:
Serverless functions are generally designed for short-lived operations rather than long-running tasks. If you have a requirement for long-running operations, a serverless architecture may not be the ideal choice, as it has execution time limits and may not provide the necessary resources for extended execution.
NEW QUESTION # 84
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