真実的な1z0-1109-24資格試験 &合格スムーズ1z0-1109-24受験記 |認定する1z0-1109-24合格受験記

2025年Pass4Testの最新1z0-1109-24 PDFダンプおよび1z0-1109-24試験エンジンの無料共有：https://drive.google.com/open?id=1GhwSgAiEcR851gTdSURXKMgMhCo13mww

進歩を勇敢に追及する人生こそ素晴らしい人生です。未来のある日、椅子で休むとき、自分の人生を思い出したときに笑顔が出たら成功な人生になります。あなたは成功な人生がほしいですか。そうしたいのなら、速くPass4TestのOracleの1z0-1109-24試験トレーニング資料を利用してください。これはIT認証試験を受ける皆さんのために特別に研究されたもので、１００パーセントの合格率を保証できますから、躊躇わずに購入しましょう。

Oracle 1z0-1109-24 認定試験の出題範囲：

トピック	出題範囲
トピック 1	継続的インテグレーションと継続的デリバリー (CI CD) の構成と管理: このドメインでは、CI CD パイプラインの構成と管理に焦点を当てて、DevOps エンジニアのスキルを測定します。候補者は、ソフトウェア開発ライフサイクルを自動化し、継続的インテグレーションとデリバリーの実践を通じてリリースサイクルを高速化する方法を学びます。
トピック 2	コンテナオーケストレーションエンジンを使用したコンテナの管理: このセクションでは、Kubernetes などのオーケストレーションツールを使用したコンテナの管理について説明します。受験者は、クラウド環境内でのコンテナ化されたアプリケーションの作成、スケーリング、最適化に関する知識を習得します。
トピック 3	監視と可観測性の実装 (O&M): このセクションは、Oracle Cloud Infrastructure DevOps エンジニアと開発者を対象としており、DevOps フレームワーク内での監視と可観測性のプラクティスの実装に重点を置いています。受験者は、アプリケーションパフォーマンスの追跡、ログの分析、およびシステムの信頼性を確保するためのイベントの管理を行うツールとテクニックについて学習します。

>> 1z0-1109-24資格試験 <<

Oracle 1z0-1109-24認定試験の準備を十分に完了したのか

他の同様の教育プラットフォームとは異なり、1z0-1109-24クイズガイドは、分類なしのランダムな蓄積ではなく、マルチプレート配布用の資料を割り当てます。 1z0-1109-24準備トレントは、さまざまな文化レベルのユーザーにより適した1z0-1109-24テスト資料を開発するために、従来の学習プラットフォームの利点に吸収され、その欠点を認識しています。そして、1z0-1109-24試験材料は、プレートの多くの研究部分がユーザーの熱意を喚起するのに十分であり、ユーザーが集中力を維持できるようにします。

Oracle Cloud Infrastructure 2024 DevOps Professional 認定 1z0-1109-24 試験問題 (Q19-Q24):

質問 # 19
How does the Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) Cluster Autoscaler determine when to create new nodes for an OKE cluster?

A. When the custom metrics from the services exceed a configured threshold.
B. When the CPU or memory utilization crosses a configured threshold.
C. When the rate of requests to the application crosses a configured threshold.
D. When the resource requests from pods exceed a configured threshold.

正解：D

解説：
The OKE Cluster Autoscaler automatically adjusts the number of worker nodes in an OKE cluster based on the resource requests made by Kubernetes pods. When there are not enough resources available (e.g., CPU or memory) on existing nodes to accommodate pending pods, the Cluster Autoscaler will create new nodes to meet the resource demand.

質問 # 20
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 managed nodes with cluster autoscalers to eliminate worker node infrastructure management
D. Using OCI OKE virtual nodes to eliminate worker node infrastructure management

正解：D

解説：
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

質問 # 21
Which of the following is NOT considered a DevOps resource in the context of the OCI DevOps project service?

A. Environments
B. Build pipelines
C. API integrations
D. Code repositories

正解：C

解説：
In the context of OCI DevOps project service, the key DevOps resources include:
Environments: These are used to represent deployment targets, such as Kubernetes clusters, compute instances, or functions.
Build pipelines: These automate the building, testing, and packaging of software.
Code repositories: These store source code for the application being built, providing version control and collaboration.
API integrations are not directly considered a DevOps resource in OCI DevOps projects. Instead, they facilitate communication and integration with other tools or services but do not represent a core component of DevOps projects like environments, build pipelines, or code repositories.

質問 # 22
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?

A. By selecting a managed node pool, a GPU shape, and a GPU image, and ensuring that the CUDA libraries for different GPUs are pre-installed on the worker nodes
B. By selecting a managed node pool, a GPU shape, and a GPU image, and specifying the number of CPU resources required in the pod spec
C. By selecting a virtual node pool, a GPU shape, and a GPU image, and ensuring that the CUDA libraries are included in the application container
D. By selecting a managed node pool, a GPU shape, and a GPU image that has CUDA libraries pre-installed, and specifying the number of GPU resources required in the pod spec

正解：D

解説：
To run applications on GPU worker nodes in Oracle Kubernetes Engine (OKE), you need to:
Select a managed node pool and choose a GPU shape for the worker nodes.
Use a GPU image that has the necessary CUDA libraries pre-installed to ensure that GPU workloads can be executed properly.
In the pod specification, specify the number of GPU resources required for the container to utilize the GPU hardware during execution. This allows Kubernetes to schedule the pod on a node with an available GPU.

質問 # 23
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. Using deployment pipeline, you can deploy helm charts in OCI Function.
B. You can add a Wait stage that adds a specified duration of delay in the pipeline.
C. You can add a Traffic Shift stage that routes the traffic between two environments.
D. You can add an Approval stage that pauses the deployment for a specified duration for manual decision from the approver.

正解：A

解説：
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.

質問 # 24
......

あなたはIT職員ですか。成功したいのですか。成功したいのならPass4TestのOracleの1z0-1109-24試験トレーニング資料を利用してください。当社の資料は実践の検証に合格したもので、あなたが首尾よくIT認証試験に合格することを助けます。Pass4TestのOracleの1z0-1109-24トレーニング資料を手に入れたらあなたはIT業種でもっとよい昇進を持つようになり、高レベルのホワイトカラーのトリートメントを楽しむこともできます。あなたはまだ何を心配しているのですか。Pass4TestのOracleの1z0-1109-24トレーニング資料はあなたのニーズを満たすことができますから、躊躇わずにPass4Testを選んでください。Pass4Testはあなたと苦楽を共にして、一緒に挑戦に直面します。

1z0-1109-24受験記: https://www.pass4test.jp/1z0-1109-24.html

さらに、Pass4Test 1z0-1109-24ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1GhwSgAiEcR851gTdSURXKMgMhCo13mww