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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 |
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Centralized logging and metrics collection - Application performance monitoring and tracing - Troubleshooting containerized and serverless workloads |
| Cloud Native Applications and Containerization | 33% | - Building containerized applications with Docker - Deployment and management with Oracle Kubernetes Engine (OKE) - Oracle Container Registry (OCIR) usage |
| Testing and Securing Cloud Native Applications | 13% | - Secrets management with OCI Vault - Testing strategies and secure deployment configurations - Application security best practices |
| Cloud Native Fundamentals | 11% | - Cloud-native principles and microservices architecture - DevOps concepts and CI/CD workflows - OCI developer services and tools overview |
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NEW QUESTION # 14
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: C
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 # 15
Which annotation is required in a Kubernetes Service manifest of type LoadBalancer to provision a private load balancer rather than a public load balancer?
Answer: A
Explanation:
Oracle ' s OKE documentation explicitly specifies the annotation service.beta.kubernetes.io/oci-load-balancer- internal: " true " when a Kubernetes Service of type LoadBalancer must provision an internal OCI Load Balancer with a private IP address. The annotation is placed in the Service manifest ' s metadata.annotations section. If an alternative subnet must host the private load balancer, Oracle allows an additional subnet annotation, but the oci-load-balancer-internal setting remains the control that requests internal rather than public exposure. The annotation names in B, C, and D are not the documented OCI Load Balancer annotations for this purpose. Therefore, option A is the required configuration for creating a private/internal OCI Load Balancer through an OKE Kubernetes Service manifest.
NEW QUESTION # 16
Which is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service?
Answer: D
Explanation:
The use case that is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service is " Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances. " The OCI Events service is designed to provide event-driven architecture and enable automated responses to events occurring within the Oracle Cloud Infrastructure. It allows you to react to changes and activities happening within your OCI resources. The Events service can be used to trigger actions based on events like file uploads, resource changes, or task completions. However, capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances is not a direct functionality provided by the OCI Events service. Autoscaling based on monitoring metrics is typically handled by the OCI Autoscaling service, which is specifically designed for that purpose. The OCI Monitoring service provides monitoring and alerting capabilities, while the Autoscaling service handles the dynamic scaling of compute instances based on predefined policies and thresholds.
NEW QUESTION # 17
Which is NOT a valid option to execute a function deployed in Oracle Functions?
Answer: C
Explanation:
The correct answer is: Invoke from the Docker CLI.Explanation: Executing a function deployed in Oracle Functions is typically done using the following options: Invoke from the Fn Project CLI: The Fn Project CLI provides a command-line interface specifically designed for interacting with Oracle Functions. You can use commands like fn invoke to invoke a function. Trigger by an event in the Oracle Cloud Infrastructure (OCI) Events service: You can configure events in OCI to trigger your function based on various criteria, such as object storage events, resource state changes, or scheduled events. Invoke from the OCI CLI: The OCI CLI (Command Line Interface) allows you to interact with various services in Oracle Cloud Infrastructure, including Oracle Functions. You can use the fn invoke command to invoke a function. Send signed HTTP requests to the function ' s invoke endpoint: Oracle Functions provides an HTTP endpoint that can be used to invoke functions. You can send signed HTTP requests to this endpoint using tools or programming languages that support making HTTP requests. On the other hand, invoking a function deployed in Oracle Functions using the Docker CLI is not a valid option. The Docker CLI is primarily used for managing Docker containers and images, and it does not provide a direct mechanism for invoking functions in Oracle Functions.
NEW QUESTION # 18
As a Cloud Native developer, you develop two services in Node.js and deploy them to two different Container Engine for Kubernetes (OKE) clusters that use the same Virtual Cloud Network (VCN). Your security team wants to analyze the network communication between them. How can this requirement be met in the most cost-effective way?
Answer: D
Explanation:
The best answer is: " Use the OCI Logging service and enable VCN flow logs. " To meet the requirement of analyzing network communication between two services deployed in different Container Engine for Kubernetes (OKE) clusters within the same Virtual Cloud Network (VCN) in a cost-effective way, you can use the OCI Logging service and enable VCN flow logs. The VCN flow logs feature in OCI allows you to capture and log network traffic information for your VCN resources. By enabling VCN flow logs, you can monitor and analyze the network communication between your services without the need for additional third- party logging services or tools. Enabling VCN flow logs provides visibility into the network traffic, including source and destination IP addresses, ports, protocols, and other relevant details. This information can be collected and stored in the OCI Logging service, where you can analyze and gain insights into the network communication patterns between your services. By leveraging the built-in capabilities of the OCI Logging service and enabling VCN flow logs, you can fulfill the security team ' s requirement for network communication analysis in a cost-effective manner. This eliminates the need for deploying additional third- party logging services or tools, reducing complexity and potential costs associated with their setup and maintenance. The other options mentioned are not the most cost-effective or suitable solutions for analyzing network communication in this scenario: Deploying a third-party logging service and aggregating the network flow logs would introduce additional costs and complexity, which may not be necessary considering the built- in capabilities provided by OCI. Rewriting the application to send logs to an outside log aggregator would not directly address the requirement of analyzing network communication between the services. It would focus more on application-level logs rather than network-level analysis. Deploying Wireshark and intercepting packets would require additional infrastructure setup and maintenance, which may not be the most cost- effective approach for network analysis in this scenario.
NEW QUESTION # 19
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