Oracle 1z0-1084-26コンポーネント、1z0-1084-26問題トレーリング

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Oracle 1z0-1084-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Cloud Native Fundamentals	11%	- Cloud Native Principles 1. Explain the fundamentals of cloud native and discuss the key pillars of cloud native development - Microservices Architecture 1. Explain the microservices architecture and discuss the design methodology of microservices
Topic 2: Testing and Securing Cloud Native Applications	13%	- OCI Vault 1. Use OCI Vault to securely store and manage encryption keys and sensitive configuration information - Cloud Native Testing 1. Analyze and evaluate cloud native testing methodologies and develop effective strategies for testing cloud native applications - Cloud Native Security 1. Apply security measures to overcome challenges with cloud native development
Topic 3: Cloud Native Applications and Containerization	33%	- Oracle Kubernetes Engine 1. Develop and deploy containerized applications on Oracle Kubernetes Engine - Docker and Containerization 1. Explain Docker and the concepts around its architecture and components - OCI Registry 1. Use OCI Registry to pull and push container images - Container Orchestration 1. Discuss the role of container orchestration
Topic 4: Monitoring & Troubleshooting Cloud Native Applications	10%	- Monitoring, Logging, and Tracing 1. Perform tasks around monitoring, logging, and tracing - OCI Logging 1. Use OCI Logging Service to enable, manage, and search logs - OCI Monitoring 1. Utilize OCI Monitoring Service to view metrics
Topic 5: Leveraging Serverless Technologies for Cloud Native Development	33%	- OCI Events 1. Build event-driven serverless applications using OCI Events Service - OCI Queue 1. Facilitate asynchronous messaging for microservices with OCI Queue - API Gateway 1. Create API gateways to process traffic from API clients and route it to back-end services - Oracle Functions 1. Develop serverless applications with Oracle Functions - OCI Streaming 1. Create integration between systems using OCI Streaming Service

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Oracle Cloud Infrastructure Developer Professional 認定 1z0-1084-26 試験問題 (Q137-Q142):

質問 # 137
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 is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
C. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
D. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.

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 # 138
Which option best defines microservices?

A. An open-source system for automating deployment, scaling, and management of containerized applications.
B. A finely tuned piece of software that performs a single or small collection of tasks.
C. A statically typed and compiled language.
D. An organized collection of structured information or data, typically stored electronically in a computer system.

正解：B

解説：
The correct answer is: " A finely tuned piece of software that performs a single or small collection of tasks. " Microservices are a software architectural approach where a system is decomposed into small, independent services that are responsible for performing a specific set of tasks. Each microservice is designed to be focused, finely tuned, and highly cohesive, handling a single or a small collection of related tasks. This granularity allows for better scalability, maintainability, and flexibility in building complex applications. The other options provided do not accurately define microservices: An open-source system for automating deployment, scaling, and management of containerized applications refers to a container orchestration tool like Kubernetes, which can be used to manage microservices but is not a definition of microservices itself. A statically typed and compiled language describes a type of programming language characteristic and is not specific to the concept of microservices. An organized collection of structured information or data, typically stored electronically in a computer system is a definition of a database or data storage system and is unrelated to microservices.

質問 # 139
Which is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service?

A. Publishing all the OCI resource events in a specific compartment to the OCI Streaming service for later analysis.
B. Triggering a function deployed in Oracle Functions when new files are uploaded to an OCI Object Storage bucket.
C. Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances.
D. Publishing a notification when long-lived tasks complete, such as an OCI Autonomous Database backup completion.
E. Triggering a notification action when a function completes its execution.

正解：C

解説：
The use case that is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service is " Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances. " The OCI Events service is designed to provide event-driven architecture and enable automated responses to events occurring within the Oracle Cloud Infrastructure. It allows you to react to changes and activities happening within your OCI resources. The Events service can be used to trigger actions based on events like file uploads, resource changes, or task completions. However, capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances is not a direct functionality provided by the OCI Events service. Autoscaling based on monitoring metrics is typically handled by the OCI Autoscaling service, which is specifically designed for that purpose. The OCI Monitoring service provides monitoring and alerting capabilities, while the Autoscaling service handles the dynamic scaling of compute instances based on predefined policies and thresholds.

質問 # 140
In the shared responsibility model, who should perform patching, upgrading, and maintaining of the worker nodes in provisioned Oracle Container Engine for Kubernetes (OKE) clusters?

A. It is the responsibility of the customer.
B. Oracle Support does it.
C. It is an automated process.

正解：A

解説：
In the shared responsibility model, Oracle is responsible for securing the underlying cloudinfrastructure and platform services, while customers are responsible for securing theirdata and applications within the cloud4. For provisioned OKE clusters, Oracle manages the control plane (master nodes) of the Kubernetes cluster, while customers manage the data plane (worker nodes) of the cluster5. Therefore, it is the responsibility of the customer to perform patching, upgrading, and maintaining of the worker nodes in provisioned OKE clusters5. Customers can use tools such as Terraform or kubectl to automate these tasks5.

質問 # 141
Which statement best describes the term " cloud native " ?

A. Cloud native refers to the use of cloud-based development tools to build traditional on-premises applications.
B. Cloud native refers to the use of cloud infrastructure to run traditional on-premises applications.
C. Cloud native refers to the process of migrating applications from on-premises infrastructure to the cloud.
D. Cloud native refers to the design and deployment of applications that are optimized for cloud infrastructure.

正解：D

解説：
Cloud native is the software approach of building, deploying, and managing modern applications in cloud computing environments3. Cloud native apps are designed and built to exploit the scale, elasticity, resiliency, and flexibility the cloud provides4. Cloud native technologies support fast and frequent changes to applications without impacting service delivery, providing adopters with an innovative, competitive advantage3. Therefore, cloud native refers to the design and deployment of applications that are optimized for cloud infrastructure. Verified References: What is Cloud Native? - Everything you need to know, What is Cloud Native?| Microsoft Learn

質問 # 142
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