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Oracle 1z0-1084-26 시험환경에 적응하고 싶은 분은 pdf버전 구매시 온라인버전 또는 테스트엔진 버전을 추가구매하시면 됩니다. 문제는 pdf버전의 문제와 같지만 pdf버전의 문제를 마스터한후 실력테스 가능한 프로그램이기에Oracle 1z0-1084-26시험환경에 익숙해져 시험을 보다 릴렉스한 상태에서 볼수 있습니다.
Oracle 1z0-1084-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: 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 2: Monitoring & Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
- 1. Utilize OCI Monitoring Service to view metrics
- 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
|
| Topic 3: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Queue
- 1. Facilitate asynchronous messaging for microservices with OCI Queue
- Oracle Functions
- 1. Develop serverless applications with Oracle Functions
- 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 Events
- 1. Build event-driven serverless applications using OCI Events Service
|
| Topic 4: 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
|
| Topic 5: 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
|
>> 1z0-1084-26인기덤프자료 <<
최신 1z0-1084-26인기덤프자료 인증시험공부
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최신 Oracle Cloud Infrastructure 1z0-1084-26 무료샘플문제 (Q172-Q177):
질문 # 172
What is the difference between continuous delivery and continuous deployment in the DevOps methodology?
(Choose the best answer.)
- A. Continuous delivery utilizes automatic deployment to a development environment, whereas continuous deployment involves automatic deployment to a production environment.
- B. Continuous delivery involves automation of developer tasks, whereas continuous deployment involves manual operational tasks.
- C. Continuous delivery is a process that Initiates deployment manually, whereas continuous deployment is based on automating the deployment process.
- D. Continuous delivery requires automatic linting, whereas continuous deployment testing must be run manually.
정답:A
설명:
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.
질문 # 173
Which statement is NOT valid regarding autoscaling configurations in Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE)?
- A. The Kubernetes Vertical Pod Autoscaler is restricted to managed node pools and is not supported for adjusting resources on virtual node pools.
- B. The Kubernetes Horizontal Pod Autoscaler is supported for adjusting the replica count of deployments running on both virtual node pools and managed node pools.
- C. The Kubernetes Cluster Autoscaler can be deployed to automatically resize both managed node pools and virtual node pools when pod resource demands change.
- D. The Kubernetes Metrics Server can be deployed as a standalone program to collect resource metrics on both virtual node pools and managed node pools.
정답:C
설명:
Oracle explicitly lists Kubernetes Cluster Autoscaler among the deploymentsnot supported when using OKE virtual nodes. Virtual nodes provide a serverless data-plane model in which Oracle manages the underlying compute capacity, so customers do not resize a conventional virtual-node pool through Kubernetes Cluster Autoscaler. Cluster Autoscaler remains applicable to managed node pools, where worker-node capacity can be increased or decreased according to scheduling demand. Oracle also identifies Vertical Pod Autoscaler as unsupported on virtual nodes, while Metrics Server is supported through a deployment method adapted for virtual nodes. Horizontal Pod Autoscaler operates at the pod/deployment level and can adjust replica counts without requiring customers to resize virtual-node infrastructure. Therefore, B is the NOT valid statement because it incorrectly claims Cluster Autoscaler can resize both managed and virtual node pools.
질문 # 174
Which TWO statements accurately describe an Oracle Functions application? (Choose two.)
- A. A small block of code invoked in response to an OCI Events service.A logical group of functions.
- B. A Docker image containing all the functions that share the same configuration.
- C. An application based on Oracle Functions, Oracle Cloud Infrastructure (OCI) Events, and OCI API Gateway services.
- D. A common context to store configuration variables that are available to all functions in the application.
A Docker image containing all the functions that share the same configuration.
정답:A,D
설명:
The correct statements are: A common context to store configuration variables that are available to all functions in the application. A Docker image containing all the functions that share the same configuration. A logical group of functions.Explanation: An Oracle Functions application provides a common context for functions within the application. It allows you to store configuration variables that are accessible by all the functions in the application. Functions within the same application can share the same Docker image, which contains the common configuration and dependencies. An Oracle Functions application serves as a logical group that organizes related functions. Functions within the same application can be managed collectively, and they can interact and share resources within the application context.
질문 # 175
Your team has deployed a high-throughput order processing microservice that consumes messages from an OCI Stream with 8 partitions. To handle peak operational hours, you have scaled out your deployment to run
12 identical microservice consumer instances under a single named consumer group. During execution, you notice that 4 of the 12 consumer instances remain completely idle and are not assigned any stream data.
Which OCI Streaming architectural rule explains this behavior?
- A. The instances are idling because OCI Streaming requires a dedicated stream pool for every four active consumer instances in a consumer group.
- B. The instances are idling because a single consumer group cannot support more than 8 active consumer instances regardless of partition count.
- C. The instances are idling because each partition in a stream can be consumed by at most one consumer instance within a single consumer group.
- D. The instances are idling because you must configure OCI Service Connector Hub to explicitly map each of the 12 consumer instances to its own partition.
정답:C
설명:
OCI Streaming consumer groups assign each stream partition exclusively to one consumer-group instance at a time. Oracle states that every partition is owned by one instance following a successful rebalance and that instances exceeding the number of available partitions remain idle. With eight partitions, no more than eight of the twelve consumer instances can actively consume simultaneously, leaving four without assignments.
This is not a fixed eight-consumer limitation: increasing the stream to twelve or more partitions could allow all twelve instances to become active. Consumer groups automatically coordinate partition assignment, offsets, commits, heartbeats, and rebalancing, so Service Connector Hub is unnecessary. Stream pools likewise do not determine the consumer-to-partition scaling relationship. Therefore, B explains the observed behavior precisely.
질문 # 176
Your organization is transitioning a monolithic billing system into a cloud-native microservices application deployed on Oracle Cloud Infrastructure Container Engine for Kubernetes. To maintain high operational excellence under the observability pillar of cloud-native development, the engineering team has successfully set up centralized log aggregation and system metrics. However, you must now implement a solution that can track, visualize, and analyze end-to-end transaction flows and asynchronous call hops across multiple distributed microservices.
Which service should be integrated to fulfill this distributed transaction tracing requirement?
- A. OCI Service Mesh
- B. OCI Application Performance Monitoring
- C. OCI Logging Analytics
- D. OCI Monitoring
정답:B
설명:
OCI Application Performance Monitoring is specifically designed fordistributed tracingof application transactions across multiple components and services. Oracle states that APM collects and processes trace and span data, allowing administrators to analyze transaction performance, latency, volume, and errors across distributed applications. Trace Explorer can visualize traces containing multiple spans and help identify bottlenecks as requests move between services, databases, functions, and asynchronous components. OCI Monitoring concentrates primarily on metric streams, while Logging Analytics focuses on log aggregation and analysis. Service Mesh can provide service-to-service traffic telemetry and may participate in observability, but APM is the service designed to collect, correlate, and analyze distributed transaction traces.
Therefore, D directly satisfies the end-to-end tracing requirement.
질문 # 177
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