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試験の準備方法-素晴らしい1Z0-1084-25試験関連赤本試験-完璧な1Z0-1084-25受験記対策

当社は長年にわたり、クライアントに最高の1Z0-1084-25練習問題を提供し、テスト1Z0-1084-25認定試験にスムーズに合格できるように常に努めています。当社は、国内の有名な業界の専門家を募集し、優秀な人材を1Z0-1084-25学習ガイドを編集し、お客様に心から奉仕するために最善を尽くしました。当社は、お客様が私たちの神であり、1Z0-1084-25トレーニング資料の品質に関する厳格な基準であるというサービス理念を設定しています。

テストOracleの1Z0-1084-25の認定に合格すると、あなたの就労能力が社会からOracle認められ、良い仕事を見つけることができます。 1Z0-1084-25クイズトレントを習得して試験に合格した場合。同僚、上司、親、友人、社会から尊敬されます。総じて、1Z0-1084-25テスト準備を購入すると、試験に合格するだけでなく、キャリアと将来についての夢を実現するのに役立ちます。そのため、1Z0-1084-25試験の教材を購入してすぐに対策を講じることをheしないでください。

>> 1Z0-1084-25試験関連赤本 <<

有難い1Z0-1084-25試験関連赤本 & 合格スムーズ1Z0-1084-25受験記対策 | 効果的な1Z0-1084-25日本語版テキスト内容

多くの会社はOracle認証の有無によって社員の給料が違います。それに、1Z0-1084-25試験に参加したことがない人にとって、これはいい挑戦です。我々の更新された問題集は多くの受験者を助けました。あなたは1Z0-1084-25試験を準備しているなら、我々の最新の問題集を利用して復習することができます。

Oracle Cloud Infrastructure 2025 Developer Professional 認定 1Z0-1084-25 試験問題 (Q78-Q83):

質問 # 78
What is the difference between continuous delivery and continuous deployment in the DevOps methodology? (Choose the best answer.)

A. Continuous delivery requires automatic linting, whereas continuous deployment testing must be run manually.
B. Continuous delivery involves automation of developer tasks, whereas continuous deployment involves manual operational tasks.
C. Continuous delivery utilizes automatic deployment to a development environment, whereas continuous deployment involves automatic deployment to a production environment.
D. Continuous delivery is a process that Initiates deployment manually, whereas continuous deployment is based on automating the deployment process.

正解：C

解説：
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.

質問 # 79
What is the open source engine for Oracle Functions?

A. Fn Project
B. Apache OpenWhisk
C. OpenFaas
D. Knative

正解：A

解説：
The Fn Project is an open source serverless computing platform that serves as the engine for Oracle Functions. It provides a runtime environment for executing functions in a serverless architecture. The Fn Project enables developers to build and deploy functions using different programming languages, including Java, Python, Node.js, and more. The Fn Project is designed to be flexible and extensible, allowing developers to define functions as small units of code and execute them in response to events or triggers. It supports event-driven execution, allowing functions to be triggered by various events such as HTTP requests, messages from messaging systems, or changes in data. Oracle Functions leverages the Fn Project as its underlying engine, providing a managed serverless platform within the Oracle Cloud Infrastructure. It allows developers to easily develop, deploy, and manage functions using the familiar Fn Project framework and tooling. With Oracle Functions, developers can focus on writing their function code while leaving the infrastructure management, scaling, and operational tasks to the platform.

質問 # 80
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment? (Choose two.)

A. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.
B. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.
C. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
D. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.

正解：B、D

解説：
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery involves automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.

質問 # 81
You have just finished building and compiling the software required to implement the API microservice component. You need to rebuild the API docker image, and plan to tag it as: ocIdevops/api:latest Which docker command would re-create the API docker image?

A. docker image -t OCIdevops/api:latest
B. docker create -t OCIdevops/api:latest
C. docker compile -t OCI devops/api:latest
D. docker build -t OCIdevops/api:latest

正解：D

解説：
The correct command to rebuild the API docker image and tag it as OCIdevops/api:latest is: docker build -t OCIdevops/api:latest The docker build command is used to build a Docker image from a Dockerfile. The -t flag is used to specify the name and optionally a tag for the image. In this case, the name of the image is OCIdevops/api and the tag is latest. By running this command, the Docker image will be recreated based on the instructions in the Dockerfile and tagged with the specified name and tag.

質問 # 82
You are developing a real-time monitoring application for a fleet of vehicles, which will be deployed on Oracle Cloud Infrastructure (OCI). You need to choose between using OCI Queue or OCI Streaming to handle the real-time data feeds from the vehicles. Based on the scenario described, which is the most appropriate choice for handling real-time data feeds?

A. OCI Queue, because it is optimized for low-latency messaging and ideal for real-time applications
B. OCI Streaming, because it is designed for high-volume, continuous ingestion and processing of data, making it the best choice for a fleet of vehicles
C. OCI Streaming, because it offers exactly-once message delivery, which is necessary for real-time applications
D. OCI Queue, because it provides at-least-once message delivery, which is critical for real-time monitoring applications

正解：B

解説：
OCI Streaming is a fully managed, scalable, and durable messaging solution for ingesting continuous, high-volume streams of data that you can consume and process in real-time1. Streaming is suitable for any use case in which data is produced and processed continually and sequentially in a publish-subscribe messaging model1. Streaming can handle millions of messages per second with low latency2. Therefore, OCI Streaming is the most appropriate choice for handling real-time data feeds from a fleet of vehicles. Verified Reference: Overview of Streaming, Container Engine for Kubernetes

質問 # 83
......

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1Z0-1084-25試験の準備方法｜素敵な1Z0-1084-25試験関連赤本試験｜認定するOracle Cloud Infrastructure 2025 Developer Professional受験記対策

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