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Oracle 1z0-1084-26 Exam Syllabus Topics:

Section	Weight	Objectives
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
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
Cloud Native Applications and Containerization	33%	- Oracle Kubernetes Engine 1. Develop and deploy containerized applications on Oracle Kubernetes Engine - OCI Registry 1. Use OCI Registry to pull and push container images - Container Orchestration 1. Discuss the role of container orchestration - Docker and Containerization 1. Explain Docker and the concepts around its architecture and components
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
Leveraging Serverless Technologies for Cloud Native Development	33%	- OCI Streaming 1. Create integration between systems using OCI Streaming Service - API Gateway 1. Create API gateways to process traffic from API clients and route it to back-end services - OCI Queue 1. Facilitate asynchronous messaging for microservices with OCI Queue - OCI Events 1. Build event-driven serverless applications using OCI Events Service - Oracle Functions 1. Develop serverless applications with Oracle Functions

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最新的 Oracle Cloud Infrastructure 1z0-1084-26 免費考試真題 (Q53-Q58):

問題 #53
Which statement is NOT valid regarding the structure and behavior of Docker images and containers?

A. Deleting a Docker container also permanently deletes the underlying image from the host system by default.
B. Modifying an existing file within a running container copies the file from the read-only layer to the writable layer.
C. A Docker image is composed of a series of read-only layers that represent filesystem differences.
D. Running a Docker container adds a thin writable layer on top of the underlying read-only image layers.

答案：A

解題說明：
Docker images and containers have separate lifecycles. Oracle describes a Docker image as a read-only template used to create containers, while image implementations consist of immutable read-only layers. A running container adds its own writable runtime state without changing those underlying image layers.
Removing a container with docker rm removes that container instance; deleting the corresponding image requires a separate image-removal operation such as docker rmi. Oracle ' s Cloud Shell documentation likewise explicitly uses docker rmi when deleting local images. Therefore, deleting a container doesnotautomatically or permanently delete its source image. Statements A, B, and D describe the layered and copy-on-write behavior associated with Docker containers, making C the invalid statement.

問題 #54
Kubernetes includes various elements such as compute, network, and storage. Compute is essentially CPU (units) and memory (bytes). Within an OKE cluster, what is considered to be the smallest unit of deployment with respect to compute?

A. Container
B. Namespace
C. Service
D. Pod
E. Deployment resource

答案：D

解題說明：
A pod is the smallest and simplest unit in the Kubernetes object model that you create or deploy2. A pod represents a single instance of a running process in your cluster. Pods contain one or more containers, such as Docker containers. When you create a pod, you define how much CPU and memory (RAM) each container needs. A pod can also include storage volumes, IP addresses, options that govern how the container(s) should run, and more2. Pods are the basic building blocks of larger Kubernetes constructs such as deployments, replica sets, and services2.

問題 #55
You are planning the migration of a legacy monolithic billing application to a cloud-native architecture on Oracle Cloud Infrastructure. The application currently relies on a centralized relational database and synchronous local procedure calls, and you must address the primary architectural challenges associated with transitioning to a distributed microservices model.
Which TWO statements represent valid engineering challenges or design strategies that must be considered during this cloud-native migration?

A. Implementing microservices requires adopting eventual consistency patterns, such as the Saga pattern, because distributed databases cannot easily maintain synchronous transactions across service boundaries.
B. Monolithic databases migrated to OCI Object Storage will automatically scale horizontally and support distributed transactions natively for all microservices.
C. By default, OCI ensures that all distributed containerized microservices automatically share a single, global transaction state across different compartments without any application-level coding.
D. Cloud-native microservices must communicate using synchronous REST APIs exclusively, as asynchronous event-driven communication is not supported within OCI.
E. Transitioning to microservices increases the operational complexity of the application, necessitating centralized logging and distributed tracing to troubleshoot service-to-service communication.

答案：A,E

解題說明：
Oracle identifies distributed transaction consistency and observability as major concerns when moving from monoliths to microservices. The Saga pattern addresses cross-service business transactions by dividing them into local transactions and using events plus compensating actions, avoiding long-duration distributed locks.
Oracle also emphasizes unified observability for microservices, including metrics, logs, and traces, because failures become harder to diagnose when calls cross multiple networked services. OCI does not automatically create a global application transaction across compartments, Object Storage is not a transactional relational database replacement, and microservices are not restricted to synchronous REST communication. Oracle explicitly supports asynchronous messaging and event-driven designs for loose coupling. Therefore, A and B correctly describe realistic migration challenges and strategies.

問題 #56
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)

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

答案：A,C

解題說明：
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.

問題 #57
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)

A. Serverless function execution is fully managed by third party.
B. Long running tasks are perfectly suited for serverless.
C. Application DevOps team is responsible for scaling.
D. Serverless function state should never be stored externally.
E. Applications running on a FaaS (Functions as a Service) platform.

答案：A,E

解題說明：
The two true statements for serverless computing and serverless architectures are: Applications running on a FaaS (Functions as a Service) platform: Serverless architectures typically involve running code in the form of functions on a serverless platform. These functions are event-driven and executed in response to specific triggers or events. Serverless function execution is fully managed by a third party: In serverless computing, the cloud provider takes care of the infrastructure management and resource provisioning. The execution of serverless functions is handled automatically by the platform, relieving developers from the responsibility of managing servers or infrastructure. It ' s important to note that long running tasks are not typically suited for serverless architectures due to the event-driven nature of serverless functions. Also, while serverless functions may have state, it is recommended to avoid external storage dependencies and instead leverage stateless functions whenever possible. Additionally, scaling in serverless architectures is typically handled automatically by the platform, rather than being the responsibility of the application DevOps team.

問題 #58
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