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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing and Securing Cloud Native Applications | 13% | - Secrets management with OCI Vault - Application security best practices - Testing strategies and secure deployment configurations |
| Topic 2: Cloud Native Fundamentals | 11% | - OCI developer services and tools overview - DevOps concepts and CI/CD workflows - Cloud-native principles and microservices architecture |
| Topic 3: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Troubleshooting containerized and serverless workloads - Application performance monitoring and tracing - Centralized logging and metrics collection |
| Topic 4: Leveraging Serverless Technologies for Cloud Native Development | 33% | - API-driven architectures using API Gateway - Event-driven architecture with OCI Events, Streaming, and Queue - Oracle Functions development and management |
| Topic 5: Cloud Native Applications and Containerization | 33% | - Oracle Container Registry (OCIR) usage - Building containerized applications with Docker - Deployment and management with Oracle Kubernetes Engine (OKE) |
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NEW QUESTION # 48
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: C
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 # 49
Your DevOps team wants to configure a critical alert in OCI Monitoring for a payment gateway microservice application. The security architecture mandate requires that an alert must only fire if the average transaction latency exceeds 500 milliseconds over a sliding 15-minute interval. To avoid individual instance alerts, the query must aggregate all resource metrics within the target compartment together into a single unified stream before checking the threshold.
Which Monitoring Query Language (MQL) expression correctly satisfies all these requirements?
Answer: B
Explanation:
In OCI Monitoring Query Language, grouping() aggregates multiple matching metric streams into a common result rather than retaining separate streams for individual resources. Oracle ' s documentation demonstrates this syntax with expressions such as IopsRead[1m]{...}.grouping().max(). Here, [15m] establishes the metric aggregation interval, .mean() calculates the average transaction latency, and > 500 supplies the alarm threshold. groupBy(resourceId) would preserve separate result streams by resource ID, which directly contradicts the requirement to evaluate all resource metrics as one unified stream. filter(resourceId) is not valid grouping syntax, and absent() is designed to detect missing metric data rather than evaluate latency values. Therefore, TransactionLatency[15m].grouping().mean() > 500 correctly implements the stated aggregation and threshold logic.
NEW QUESTION # 50
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: A
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 # 51
Which open source engine is used by Oracle Cloud Infrastructure (OCI) to power Oracle Functions?
Answer: A
Explanation:
Fn Project is the open source engine that is used by OCI to power Oracle Functions1. Fn Project is an open source, container native, serverless platform that can be run anywhere - any cloud or on-premises1. Fn Project is easy to use, extensible, and performant. You can download and install the open source distribution of Fn Project, develop and test a function locally, and then use the same tooling to deploy that function to Oracle Functions1.Verified References: Overview of Functions
NEW QUESTION # 52
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: A
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 # 53
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