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| Section | Weight | Objectives |
|---|---|---|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions development and management - Event-driven architecture with OCI Events, Streaming, and Queue - API-driven architectures using API Gateway |
| Cloud Native Applications and Containerization | 33% | - Oracle Container Registry (OCIR) usage - Building containerized applications with Docker - Deployment and management with Oracle Kubernetes Engine (OKE) |
| Cloud Native Fundamentals | 11% | - OCI developer services and tools overview - Cloud-native principles and microservices architecture - DevOps concepts and CI/CD workflows |
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Centralized logging and metrics collection - Troubleshooting containerized and serverless workloads - Application performance monitoring and tracing |
| 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 # 42
(CHK_4 > 2) Which TWO statements are NOT valid regarding the Oracle Cloud Infrastructure (OCI) Streaming service? (Choose two.)
Answer: B,C
Explanation:
The two statements that are NOT valid regarding the Oracle Cloud Infrastructure (OCI) Streaming service are: A stream can be configured with either a public or a private endpoint with support for customer managed encryption keys. This statement is not valid because the OCI Streaming service currently supports only private endpoints. Customer managed encryption keys are not currently supported for OCI Streaming. OCI Streaming can support up to 2,000 requests per second to each partition. This statement is not valid because the throughput of a stream is not defined by the partition in terms of requests per second. The throughput of a stream is defined in terms of data input and output rates. Each partition provides 1 MB/sec data input and 2 MB/sec data output, but it does not correspond to a specific number of requests per second. The other statements are valid: OCI Streaming stores all data for 24 hours by default, but that can be extended up to 7 days. Although OCI Streaming automatically encrypts all data while in transit, it is the developer ' s responsibility to encrypt data at rest, if needed.
NEW QUESTION # 43
Which testing strategy achieves high velocity of deployments and releases of cloud native applications?
(Choose the best answer.)
Answer: C
Explanation:
The testing strategy that achieves high velocity of deployments and releases of cloud native applications is " Automated testing. " Automated testing involves the use of automated tools and frameworks to execute tests, validate functionality, and detect issues or bugs in an application. By automating the testing process, developers and DevOps teams can rapidly test and validate code changes, ensuring that new features and updates are functioning correctly before being deployed to production. This approach helps increase the speed and efficiency of the testing process, allowing for faster and more frequent deployments of cloud native applications.
NEW QUESTION # 44
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: B
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 # 45
Oracle Functions monitors all deployed functions and collects and reports various metrics. Which is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console?
Answer: D
Explanation:
The option that is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console is: " The number of retries made by the function before failing due to an error. " When viewing the Application metrics in the OCI Console for Oracle Functions, you can typically see metrics related to the performance and usage of your functions. These metrics provide insights into how your functions are performing and being utilized. The following metrics are usually available: The number of requests to invoke a function that failed due to throttling: This metric indicates the number of requests that were not processed by the function due to reaching the configured concurrency limit or throttling settings. The length of time a function runs for: This metric represents the duration of each function invocation, measuring the time it takes for the function to complete its execution. The number of requests to invoke a function that failed with an error response: This metric counts the number of requests that encountered an error during the function invocation, resulting in a failed response. However, the number of retries made by the function before failing due to an error is not typically available as part of the Application metrics in the OCI Console.
The retries made by the function are usually handled at the invoker level, and the specific details of retries may not be captured as part of the application-level metrics. It ' s important to note that the availability of metrics and their specific details may vary depending on the version and configuration of Oracle Functions and the monitoring setup. It is recommended to refer to the Oracle Functions documentation and consult the official documentation for accurate and up-to-date information on available metrics.
NEW QUESTION # 46
You deployed a Python application to an Oracle Container Engine for Kubernetes (OKE) cluster. However, while testing you found a bug, which you rectified and then created a new Docker image. You now need to ensure that if this new image does not work once deployed, you should be able to roll back to the previous version. Using kubect1, which strategy should you use?
Answer: B
Explanation:
A rolling update is a deployment strategy that gradually replaces the old version of an application with the new version without any downtime4. OKE supports rolling updates by using the kubectl rollout command4. A rolling update allows you to roll back to the previous version if something goes wrong with the new version4.
Therefore, using a rolling update strategy with kubectl ensures that you can roll back to the previous version of your Python application if the new image does not work once deployed.Verified References: Deploy Oracle Container Engine for Kubernetes
NEW QUESTION # 47
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