Confused About Where to Start Your Oracle 1Z0-1109-25 Exam Preparation? Here's What You Need to Know
Confused About Where to Start Your Oracle 1Z0-1109-25 Exam Preparation? Here's What You Need to Know
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Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q40-Q45):
NEW QUESTION # 40
The Kubernetes Master node serves as the central control plane for managing the cluster's resources and orchestrating workload deployment.
What are the primary responsibilities of the Kubernetes Master node?
- A. The Master node oversees the scheduling and allocation of cluster resources, ensuring optimal utilization across nodes.
- B. The Master node monitors network traffic within the cluster, ensuring secure communication and efficient data transfer between nodes.
- C. The Master node serves as a repository for storing container images, facilitating rapid deployment and scaling of applications.
- D. The Master node is primarily tasked with executing application workloads and ensuring their availability within the cluster.
Answer: A
Explanation:
The Kubernetes Master node is the central control plane responsible for managing the cluster's resources and orchestrating workload deployment. Its primary responsibilities include:
Scheduling: Deciding which workloads (pods) should run on which worker nodes, based on resource availability and scheduling constraints.
Resource Allocation: Allocating resources to workloads to ensure optimal utilization across nodes.
Cluster Management: Maintaining the desired state of applications, managing cluster events, and ensuring that all the components of the cluster are functioning properly.
NEW QUESTION # 41
As a cloud engineer, you are responsible for managing a Kubernetes cluster on the Oracle Cloud Infrastructure (OCI) platform for your organization. You are looking for ways to ensure reliable operations of Kubernetes at scale while minimizing the operational overhead of managing the worker node infrastructure.
Which cluster option is the best fit for your requirement?
- A. Using Kubernetes cluster add-ons to automate worker node management
- B. Creating and managing worker nodes using OCI compute instances
- C. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
- D. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
Answer: D
Explanation:
Step 1: Understanding the Requirement
The goal is to ensure reliable operations of Kubernetes at scale while minimizing the operational overhead of managing worker node infrastructure. In this context, a solution is needed that abstracts away the complexity of managing, scaling, and maintaining worker nodes.
Step 2: Explanation of the Options
A . Using OCI OKE managed nodes with cluster autoscalers
While this option provides managed node pools and uses cluster autoscalers to adjust resources based on demand, it still requires some level of management for the underlying worker nodes (e.g., patching, upgrading, monitoring).
Operational overhead: Moderate.
B . Using OCI OKE virtual nodes
Virtual nodes in OCI OKE are a serverless option for running Kubernetes pods. They remove the need to manage underlying worker nodes entirely.
OCI provisions resources dynamically, allowing scaling based purely on pod demand.
There's no need for node management, patching, or infrastructure planning, which perfectly aligns with the requirement to minimize operational overhead.
Operational overhead: Minimal.
Best Fit for This Scenario: Since the requirement emphasizes minimizing operational overhead, this is the ideal solution.
C . Using Kubernetes cluster add-ons to automate worker node management Kubernetes add-ons like Cluster Autoscaler or Node Problem Detector help in automating some aspects of worker node management. However, this still requires managing worker node infrastructure at the core level.
Operational overhead: Moderate to high.
D . Creating and managing worker nodes using OCI compute instances
This involves manually provisioning and managing compute instances for worker nodes, including scaling, patching, and troubleshooting.
Operational overhead: High.
Not Suitable for the Requirement: This option contradicts the goal of minimizing operational overhead.
Step 3: Why Virtual Nodes Are the Best Fit
Virtual Nodes in OCI OKE:
Virtual nodes provide serverless compute for Kubernetes pods, allowing users to run workloads without provisioning or managing worker node infrastructure.
Scaling: Pods are automatically scheduled, and the required infrastructure is dynamically provisioned behind the scenes.
Cost Efficiency: You only pay for the resources consumed by the running workloads.
Use Case Alignment: Eliminating the burden of worker node infrastructure management while ensuring Kubernetes reliability at scale.
Step 4: References and OCI Resources
OCI Documentation:
OCI Kubernetes Virtual Nodes
OCI Container Engine for Kubernetes Overview
Best Practices for Kubernetes on OCI:
Best Practices for OCI Kubernetes Clusters
NEW QUESTION # 42
How can you scale a deployment named nodejs-deployment to have two replicas?
- A. kubectl set replicas deployment nodejs-deployment --replicas=2
- B. kubectl scale deployment nodejs-deployment --replicas=2
- C. kubectl adjust deployment nodejs-deployment --replicas=2
- D. kubectl resize deployment nodejs-deployment --replicas=2
Answer: B
Explanation:
The kubectl scale command is used to scale the number of replicas in a deployment. By specifying the --replicas flag, you define the desired number of replicas for the deployment.
(kubectl set replicas) is not the correct syntax for scaling a deployment.
(kubectl resize) is not a valid command for scaling a deployment.
(kubectl adjust) is also not a valid Kubernetes command.
NEW QUESTION # 43
Which statement is false about OCI Resource Manager (RM)?
- A. RM can generate Terraform based on the resources in a compartment.
- B. RM can render custom "Application Information" pages for stacks.
- C. Resources provisioned through RM cannot be destroyed from outside of RM.
- D. RM can mirror repositories from GitHub and GitLab.
Answer: C
Explanation:
Resources provisioned through OCI Resource Manager (RM) can still be modified or destroyed from outside of RM, such as using the OCI Console, CLI, or other APIs. RM manages the lifecycle of resources created by its Terraform configurations, but it does not prevent other tools or methods from modifying or deleting those resources.
NEW QUESTION # 44
A small company is moving to a DevOps framework to better accommodate their intermittent workloads, which are dynamic and irregular. They want to adopt a consumption-based pricing model.
Which Oracle Cloud Infrastructure service can be used as a target deployment environment?
- A. Bare metal compute instance
- B. Oracle Kubernetes (OKE)
- C. Functions
- D. Virtual machine compute instance
Answer: C
Explanation:
Oracle Cloud Infrastructure Functions is a serverless compute service that supports a consumption-based pricing model. This means that you are only charged for the compute resources when your function is invoked. This is ideal for intermittent, dynamic, and irregular workloads since the company does not need to provision infrastructure in advance, and costs are directly tied to usage.
NEW QUESTION # 45
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