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2025 Oracle High Pass-Rate 1z0-1109-24 Paper
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Oracle 1z0-1109-24 Exam Syllabus Topics:
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Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q41-Q46):
NEW QUESTION # 41
What is the correct approach to upgrade an Oracle Container Engine for Kubernetes (OKE) Cluster to a newer version of Kubernetes?
- A. Upgrade the control plane, then upgrade the node pools.
- B. Initiate the automated upgrade process using the OCI Console, CLI, or API.
- C. Upgrade the node pools one at a time, then once all node pools are upgraded, upgrade the control plane.
- D. Initiate the control plane and node pool upgrades simultaneously.
Answer: A
Explanation:
The correct approach to upgrade an Oracle Container Engine for Kubernetes (OKE) cluster involves first upgrading the Kubernetes control plane, followed by upgrading the node pools. The control plane must be upgraded first to ensure compatibility with newer versions of Kubernetes, as node pools rely on the control plane for orchestration and management.
After upgrading the control plane, each node pool is upgraded to match the new Kubernetes version. This phased approach ensures the cluster remains in a stable state during the upgrade.
NEW QUESTION # 42
As a DevOps engineer working on an OCI project, you're setting up a deployment pipeline to automate your application deployments.
Which statement is false about deployment pipeline in OCI DevOps?
- A. You can add a Traffic Shift stage that routes the traffic between two environments.
- B. You can add an Approval stage that pauses the deployment for a specified duration for manual decision from the approver.
- C. You can add a Wait stage that adds a specified duration of delay in the pipeline.
- D. Using deployment pipeline, you can deploy helm charts in OCI Function.
Answer: D
Explanation:
Helm charts are used to manage Kubernetes deployments, not OCI Functions. Helm charts are deployed to Kubernetes clusters, such as OCI Container Engine for Kubernetes (OKE), to manage containerized applications. OCI Functions are serverless and do not use Helm charts for deployment.
NEW QUESTION # 43
How can you scale a deployment named nodejs-deployment to have two replicas?
- A. kubectl resize deployment nodejs-deployment --replicas=2
- B. kubectl scale deployment nodejs-deployment --replicas=2
- C. kubectl adjust deployment nodejs-deployment --replicas=2
- D. kubectl set replicas 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 # 44
Which two are prerequisites for creating a secret in Oracle Cloud Infrastructure Vault service? (Choose two.)
- A. You must first create a hash digest of the secret value.
- B. You must have a Vault managed key to encrypt the secret.
- C. The user must create a compute instance to run the secret service.
- D. You must have the required permissions to create and manage secrets in the Vault service.
- E. You must have an auth token to encrypt the secret.
Answer: B,D
Explanation:
You need the required permissions (such as policies allowing secret management) to create and manage secrets in Oracle Cloud Infrastructure (OCI) Vault service. These permissions are essential for performing operations such as creating, reading, and managing secrets.
Vault managed key is required to encrypt the secret before it is stored in the OCI Vault. The managed key acts as the encryption key for securing the secret, ensuring its confidentiality.
NEW QUESTION # 45
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. Creating and managing worker nodes using OCI compute instances
- B. Using Kubernetes cluster add-ons to automate worker node management
- C. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
- D. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
Answer: C
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 # 46
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