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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q66-Q71):
NEW QUESTION # 66
Which concept in OCI Queue is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer?
- A. Polling timeout
- B. Delivery count
- C. Maximum retention period
- D. Visibility timeout
Answer: D
Explanation:
Visibility timeout is the concept in OCI Queue that is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer1. The visibility timeout can be set at the queue level when creating a queue, or it can be specified when consuming or updating messages1. If a consumer is having difficulty successfully processing a message, it can update the message to extend its invisibility1. If a message's visibility timeout is not extended, and the consumer does not delete the message, it returns to the queue1. Verified Reference: Overview of Queue
NEW QUESTION # 67
You have been asked to update an OKE cluster to a network configuration that has the least attack surface while the deployed applications are still directly available for access from the Internet. Which is a valid OKE cluster network configuration that meets this requirement? (Choose the best answer.)
- A. Private subnets for nodes and the Kubemetes API endpoint; public subnets for load balancers
- B. Private subnets for nodes; public subnets for the Kubemetes API endpoint and load balancers
- C. Private subnets for nodes, the Kubemetes API endpoint, and load balancers
- D. Private subnet for the Kubemetes API endpoint; public subnets for nodes and load balancers
Answer: A
Explanation:
The valid OKE cluster network configuration that meets the requirement of having the least attack surface while still allowing direct access to the deployed applications from the Internet is: Private subnets for nodes and the Kubernetes API endpoint; public subnets for load balancers. By placing the nodes and the Kubernetes API endpoint in private subnets, they are not directly accessible from the Internet, reducing the attack surface. The load balancers, on the other hand, are placed in public subnets, allowing them to be accessed from the Internet and serve as the entry point for accessing the deployed applications. This configuration ensures that the critical components of the cluster, such as the nodes and the API endpoint, are protected within the private network, while still providing accessibility to the applications through the load balancers. It helps to enhance security by limiting direct access to the internal components of the cluster while maintaining the availability of the deployed applications.
NEW QUESTION # 68
You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. It has multiple endpoints that need to be exposed to the public internet. What is the most cost-effective way to expose multiple application endpoints without adding unnecessary complexity to the application?
- A. Use a ClusterIP service type in Kubernetes for each of your service endpoints using a load balancer to expose the endpoints.
- B. Deploy an Ingress Controller and use it to expose each endpoint with its own routing endpoint.
- C. Create a separate load balancer instance for each service using the lowest 100 Mbps option.
- D. Use a NodePort service type in Kubernetes for each of your service endpoints using the node's public IP address to access the applications.
Answer: B
Explanation:
An Ingress Controller is a Kubernetes resource that provides advanced routing and load balancing for your applications running on a Kubernetes cluster1. An Ingress Controller allows you to define rules that specify how to route traffic to different services in your cluster based on the host name or path of the incoming request1. By deploying an Ingress Controller and using it to expose multiple application endpoints, you can achieve the following benefits1:
Cost-effectiveness: You only need to create one load balancer instance per cluster, instead of one per service, which reduces the cost of exposing your applications.
Simplicity: You only need to manage one set of routing rules for all your services, instead of configuring each service separately, which simplifies the application deployment and maintenance.
Flexibility: You can use different types of Ingress Controllers, such as NGINX or Traefik, that offer various features and customization options for your routing needs.
NEW QUESTION # 69
Having created a Container Engine for Kubernetes (OKE) cluster, you can use Oracle Cloud Infrastructure (OCI) Logging to view and search the logs of applications running on the worker node compute instances in the cluster. Which task is NOT required to collect and parse application logs? (Choose the best answer.)
- A. Enable monitoring for all worker nodes in the cluster.
- B. Set the OCI Logging option to Enabled for the cluster.
- C. Create a dynamic group with a rule that includes all worker nodes In the cluster.
- D. Configure a custom log in OCI Logging with the appropriate agent configuration.
Answer: A
Explanation:
The correct answer is: Enable monitoring for all worker nodes in the cluster. Enabling monitoring for all worker nodes in the cluster is not required to collect and parse application logs using Oracle Cloud Infrastructure (OCI) Logging. Monitoring is a separate feature that allows you to collect metrics and monitor the health and performance of the worker nodes. To collect and parse application logs, you need to perform the following tasks: Set the OCI Logging option to Enabled for the cluster: This enables the OCI Logging service for the cluster. Create a dynamic group with a rule that includes all worker nodes in the cluster: This helps in targeting the logs generated by the worker nodes. Configure a custom log in OCI Logging with the appropriate agent configuration: This involves specifying the log source, log path, and log format to parse and collect the application logs. By completing these tasks, you can collect and parse the application logs generated by the applications running on the worker node compute instances in the OKE cluster.
NEW QUESTION # 70
Which statement about microservices is FALSE?
- A. They are independently deployable.
- B. It is fairly common for them to communicate with HTTP.
- C. They are typically designed around business capabilities.
- D. Multiple microservices can run in one process.
Answer: B
Explanation:
The correct answer is: "Multiple microservices can run in one process." The statement that is FALSE about microservices is: "Multiple microservices can run in one process." Microservices are designed to be independent and autonomous services that can be deployed, scaled, and managed separately. Each microservice typically runs as its own separate process. This separation allows for loose coupling and independent scalability of individual services. Running multiple microservices in a single process would violate the fundamental principle of microservices architecture, which emphasizes the isolation and independence of services. Combining multiple microservices into a single process would tightly couple them, making it difficult to independently manage, scale, and update each service. The other statements provided are true about microservices: It is fairly common for microservices to communicate with HTTP: Microservices often communicate with each other using lightweight protocols like HTTP/REST. This allows for interoperability, flexibility, and ease of communication between microservices. Microservices are typically designed around business capabilities: Microservices architecture advocates designing services based on specific business capabilities or functionalities. Each microservice focuses on a specific business domain or task, enabling modular and scalable development. They are independently deployable: Microservices are designed to be independently deployable units. This means that each microservice can be developed, tested, deployed, and updated separately without affecting other services. This flexibility allows for faster development cycles and more efficient scalability.
NEW QUESTION # 71
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