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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
| Topic 2: Testing and Securing Cloud Native Applications | 13% | - OCI Vault
|
| Topic 3: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Queue
|
| Topic 4: Cloud Native Applications and Containerization | 33% | - OCI Registry
|
| Topic 5: Cloud Native Fundamentals | 11% | - Microservices Architecture
|
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NEW QUESTION # 150
To enforce mutual TLS (mTLS) authentication for clients of your microservices, your team has chosen to leverage the Oracle Cloud Infrastructure (OCI) API Gateway service to create new API Deployments that will direct requests to your microservices. Which is NOT valid regarding the mTLS options in OCI API Gateway?
Answer: C
Explanation:
The correct answer is: " Adding a custom certificate authority (CA) or custom CA bundle to your gateway ' s trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name). " The statement that is NOT valid regarding the mTLS options in OCI API Gateway is: " Adding a custom certificate authority (CA) or custom CA bundle to your gateway ' s trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name).
" In OCI API Gateway, adding a custom certificate authority (CA) or custom CA bundle to the gateway ' s trust store is not optional. It is a necessary step when configuring mTLS authentication. The trust store in the gateway is used to validate the client certificates presented during mTLS authentication. The other options listed are valid regarding the mTLS options in OCI API Gateway: Once the mTLS request policy is enabled, all requests with valid certificates are routed to the backend unless specific values (such as a domain name) are defined. This means that only requests with valid client certificates will be allowed to access the backend microservices. The mTLS request policy can only be enabled at the API deployment specification level, and it applies globally to all routes in that deployment. This ensures consistent mTLS authentication across all routes and endpoints in the API deployment. Custom CA or custom CA bundles can be added to the gateway ' s trust store, but only if they already exist in the OCI Certificates service. This allows you to include trusted CAs or CA bundles to validate client certificates during mTLS authentication.
NEW QUESTION # 151
You are developing a real-time monitoring application for a fleet of vehicles, which will be deployed on Oracle Cloud Infrastructure (OCI). You need to choose between using OCI Queue or OCI Streaming to handle the real-time data feeds from the vehicles. Based on the scenario described, which is the most appropriate choice for handling real-time data feeds?
Answer: D
Explanation:
OCI Streaming is a fully managed, scalable, and durable messaging solution for ingesting continuous, high- volume streams of data that you can consume and process in real-time1. Streaming is suitable for any use case in which data is produced and processed continually and sequentially in a publish-subscribe messaging model1. Streaming can handle millions of messages per second with low latency2. Therefore, OCI Streaming is the most appropriate choice for handling real-time data feeds from a fleet of vehicles.Verified References: Overview of Streaming, Container Engine for Kubernetes
NEW QUESTION # 152
You are tasked with developing an application that requires the use of Oracle Cloud Infrastructure (OCI) APIs to POST messages to a stream in the OCI Streaming service. Which statement is incorrect? (Choose the best answer.)
Answer: C
Explanation:
The statement that is incorrect is: " The request does not require an Authorization header. " In order to POST messages to a stream in the OCI Streaming service using OCI APIs, the request does require an Authorization header. The Authorization header is used to provide authentication and ensure the request is authorized to access the stream. The correct approach is to include the Authorization header in the request, along with other required headers such as x-content-sha256, content-type, and content-length. Therefore, the incorrect statement is that the request does not require an Authorization header.\
NEW QUESTION # 153
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 # 154
Your organization is deploying a high-performance distributed deep learning training workload that requires GPU-enabled bare metal Compute instances connected through an ultra-low-latency Oracle Cloud Infrastructure (OCI) RDMA cluster network. To maximize processing efficiency and comply with strict corporate OS requirements, your team must use a custom, pre-hardened Oracle Linux operating system image that is not supported by default node pools. The containerized training jobs must be orchestrated and scheduled using your existing Container Engine for Kubernetes (OKE) control plane.
Which worker node deployment model must you implement?
Answer: C
Explanation:
OKE Self-Managed Nodes, also called Bring Your Own Nodes, provide the necessary infrastructure flexibility for specialized Compute workloads. Oracle states that self-managed nodes are Compute instances that customers create themselves and then attach to an enhanced OKE cluster. Because the instances are provisioned through OCI Compute rather than a managed OKE node pool, organizations can select specialized shape and image combinations unavailable to managed or virtual nodes. Oracle specifically cites GPU shapes, HPC shapes, and high-bandwidth, ultra-low-latency RDMA cluster networks as examples suited to self-managed nodes. This model also enables custom operating-system configuration. Virtual Nodes abstract the infrastructure entirely, while Managed Node Pools constrain supported infrastructure combinations. Therefore, Self-Managed Nodes satisfy all of the stated GPU, RDMA, and custom-image requirements.
NEW QUESTION # 155
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