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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
| Topic 2: Cloud Native Fundamentals | 11% | - Cloud Native Principles
|
| Topic 3: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Topic 4: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Streaming
|
| Topic 5: Cloud Native Applications and Containerization | 33% | - Container Orchestration
|
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NEW QUESTION # 147
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 # 148
You are developing a Python microservice that needs to consume real-time telemetry data from a specific OCI Stream partition, beginning only with new messages that are published after your consumer client connects.
Which cursor type must you specify when invoking the create_cursor API call?
Answer: D
Explanation:
The LATEST cursor type positions the consumer at the most recent point in the stream so that it receives only messages published after the cursor is created. Oracle explicitly states that a cursor based on the most recent message allows consumption only of messages subsequently added to the stream. TRIM_HORIZON has the opposite behavior: it begins with the oldest message still available inside the stream ' s retention period.
AFTER_OFFSET begins immediately after a supplied partition offset, while AT_TIME begins from a specified timestamp. Because the requirement is to ignore all historical telemetry already retained in the partition and consume only newly arriving records, LATEST is the correct cursor type for the CreateCursor operation.
NEW QUESTION # 149
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)
Answer: A,E
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 # 150
You are deploying a microservices-based application to an Oracle Cloud Infrastructure Container Engine for Kubernetes cluster running a modern Kubernetes release. You need to identify the underlying container runtime interface implementation that manages and runs your Open Container Initiative-compliant images within the worker nodes.
Which container runtime interface is utilized by the cluster for this purpose?
Answer: B
Explanation:
OKE transitioned from Docker toCRI-Obeginning with Kubernetes 1.20.8. Oracle documents CRI-O as its Kubernetes Container Runtime Interface implementation for modern OKE worker nodes. CRI-O is purpose- built for Kubernetes and runs Open Container Initiative-compliant images, so existing Docker-format images remain usable even though Docker Engine itself is no longer the underlying Kubernetes runtime. Oracle ' s current OKE documentation continues to reference CRI-O on modern node pools, including current releases where runtime configuration changes can affect container behavior. containerd is common in other Kubernetes distributions but is not the runtime identified by Oracle for these OKE nodes. rkt is obsolete, and Docker Engine was used only by older OKE versions. Therefore, D is correct.
NEW QUESTION # 151
You have a containerized application that requires access to an Autonomous Transaction Processing (ATP) Database. Which option is NOT valid when the container is deployed in an OKE cluster? (Choose the best answer.)
Answer: A
Explanation:
The option that is not valid for connecting to an Autonomous Transaction Processing (ATP) Database from a container in Kubernetes is: Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy ServiceInstance and ServiceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest. The Oracle Cloud Infrastructure Service Broker is not used for connecting to an ATP Database from a container in Kubernetes. The Service Broker is used for provisioning and managing cloud services directly from Kubernetes. It allows you to create and manage instances of OCI services using Kubernetes resources like ServiceInstance and ServiceBinding. To connect to an ATP Database from a container in Kubernetes, you can use one of the following valid options: Enable Oracle REST Data Services for the required schemas and connect via HTTPS. This involves enabling and configuring Oracle REST Data Services (ORDS) for the schemas in the ATP Database. You can then connect to the ATP Database using RESTful endpoints provided by ORDS. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime. This approach involves configuring the necessary environment variables on the container to provide the ATP instance OCID and OCI API credentials. The application can then use the OCI SDK or REST API (such as the CreateConnection endpoint) to establish a connection to the ATP Database. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest. This method involves creating a Kubernetes secret that contains the necessary credentials from the ATP Database ' s instance wallet files. The secret can then be mounted as a volume in the application deployment, allowing the application to access the required credentials for connecting to the ATP Database. Both options 1 and 3 provide valid approaches for connecting to an ATP Database from a container in Kubernetes, depending on the specific requirements and preferences of the application.
NEW QUESTION # 152
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