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| Section | Weight | Objectives |
|---|---|---|
| Monitoring and Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
| Cloud Native Applications and Containerization | 33% | - Container Orchestration
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Streaming
|
| Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
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NEW QUESTION # 53
When developing microservices, each one can be developed in the language of choice. Which term describes this type of development? (Choose the best answer.)
Answer: B
Explanation:
The term that describes developing microservices in different languages of choice is " Polyglot. " In a polyglot architecture, each microservice is developed using the most appropriate programming language or technology stack for its specific requirements. This approach allows developers to leverage the strengths of different languages and frameworks, enabling them to use the most suitable tool for each microservice while still maintaining interoperability between services.
NEW QUESTION # 54
Which open source engine is used by Oracle Cloud Infrastructure (OCI) to power Oracle Functions?
Answer: D
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 # 55
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: B
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 # 56
Which statement is NOT valid regarding the structure and behavior of Docker images and containers?
Answer: D
Explanation:
Docker images and containers have separate lifecycles. Oracle describes a Docker image as a read-only template used to create containers, while image implementations consist of immutable read-only layers. A running container adds its own writable runtime state without changing those underlying image layers.
Removing a container with docker rm removes that container instance; deleting the corresponding image requires a separate image-removal operation such as docker rmi. Oracle ' s Cloud Shell documentation likewise explicitly uses docker rmi when deleting local images. Therefore, deleting a container doesnotautomatically or permanently delete its source image. Statements A, B, and D describe the layered and copy-on-write behavior associated with Docker containers, making C the invalid statement.
NEW QUESTION # 57
When creating an alarm query in the OCI Monitoring service, which MQL trigger rule evaluates the lack of incoming raw metric data points as the trigger criteria?
Answer: D
Explanation:
OCI Monitoring provides anabsencetrigger for alarms that must fire when a metric stops emitting data. Oracle
' s current documentation states that an absence alarm uses the MQL absent() statistic. It returns 1 when the metric is absent for the complete evaluation interval and 0 when data is present. An expression can therefore take the form CpuUtilization[1m].absent() or use groupBy() before absent() when separate dimensional streams must be evaluated. A threshold trigger, by contrast, evaluates numeric metric values against limits such as greater than 90 percent. missing and non-zero are not OCI Monitoring trigger-rule names for the required behavior. Thus, the correct trigger rule for detecting a lack of incoming metric data is absence.
NEW QUESTION # 58
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