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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Application performance monitoring and tracing - Centralized logging and metrics collection - Troubleshooting containerized and serverless workloads |
| Topic 2: Cloud Native Applications and Containerization | 33% | - Deployment and management with Oracle Kubernetes Engine (OKE) - Building containerized applications with Docker - Oracle Container Registry (OCIR) usage |
| Topic 3: Cloud Native Fundamentals | 11% | - OCI developer services and tools overview - DevOps concepts and CI/CD workflows - Cloud-native principles and microservices architecture |
| Topic 4: Leveraging Serverless Technologies for Cloud Native Development | 33% | - API-driven architectures using API Gateway - Oracle Functions development and management - Event-driven architecture with OCI Events, Streaming, and Queue |
| Topic 5: 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 # 81
Who is responsible for patching, upgrading, and maintaining the worker nodes in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE)? (Choose the best answer.)
Answer: D
Explanation:
The user is responsible for patching, upgrading, and maintaining the worker nodes in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE). In OKE, the user has control over the worker nodes, which are the compute instances that run the Kubernetes worker components. As the user, you are responsible for managing and maintaining these worker nodes, including tasks such as patching the underlying operating system, upgrading Kubernetes versions, and performing any necessary maintenance activities. While Oracle provides the underlying infrastructure and support services, including managing the control plane and ensuring the availability of the OKE service, the responsibility for managing the worker nodes lies with the user. This allows you to have control and flexibility in managing your Kubernetes environment according to your specific needs and requirements.
NEW QUESTION # 82
Which cursor type allows a consumer to start reading messages from the oldest available record still within a stream ' s retention period?
Answer: C
Explanation:
Oracle Streaming defines TRIM_HORIZON as the cursor type that starts consumption from theoldest available message in the stream. Because Streaming retains messages only for the configured retention period,
"oldest available" means the earliest record that has not yet aged out of retention. Oracle specifically recommends creating a cursor at TRIM_HORIZON when a consumer needs to process all currently retained messages. LATEST starts with messages published after the cursor is created. AT_TIME begins at or after a specified timestamp, while AFTER_OFFSET begins after an explicitly supplied partition offset.
Consequently, none of those alternatives guarantees starting from the earliest retained record.
TRIM_HORIZON is therefore the correct cursor for replaying the complete message history that remains available in the stream.
NEW QUESTION # 83
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: D,E
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 # 84
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: D
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 # 85
Which option best defines microservices?
Answer: B
Explanation:
The correct answer is: " A finely tuned piece of software that performs a single or small collection of tasks. " Microservices are a software architectural approach where a system is decomposed into small, independent services that are responsible for performing a specific set of tasks. Each microservice is designed to be focused, finely tuned, and highly cohesive, handling a single or a small collection of related tasks. This granularity allows for better scalability, maintainability, and flexibility in building complex applications. The other options provided do not accurately define microservices: An open-source system for automating deployment, scaling, and management of containerized applications refers to a container orchestration tool like Kubernetes, which can be used to manage microservices but is not a definition of microservices itself. A statically typed and compiled language describes a type of programming language characteristic and is not specific to the concept of microservices. An organized collection of structured information or data, typically stored electronically in a computer system is a definition of a database or data storage system and is unrelated to microservices.
NEW QUESTION # 86
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