1z0-1084-26赤本勉強、1z0-1084-26ウェブトレーニング

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Oracle 1z0-1084-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| 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 Security
- 1. Apply security measures to overcome challenges with cloud native development
- Cloud Native Testing
- 1. Analyze and evaluate cloud native testing methodologies and develop effective strategies for testing cloud native applications
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - 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
- OCI Queue
- 1. Facilitate asynchronous messaging for microservices with OCI Queue
- OCI Streaming
- 1. Create integration between systems using OCI Streaming Service
- Oracle Functions
- 1. Develop serverless applications with Oracle Functions
|
| 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
- Container Orchestration
- 1. Discuss the role of container orchestration
- OCI Registry
- 1. Use OCI Registry to pull and push container images
|
| 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
|
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Oracle Cloud Infrastructure Developer Professional 認定 1z0-1084-26 試験問題 (Q56-Q61):
質問 # 56
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)
- A. In blue/green, the application Is deployed In minor Increments to a select group of people. In canary, both old and new applications are simultaneously in production.
- B. In blue/green, current applications are slowly replaced with new ones. In canary, both old and new applications are in production at the same time.
- C. In blue/green, current applications are slowly replaced with new ones. In canary, the application Is deployed Incrementally to a select group of people.
- D. In blue/green, both old and new applications are in production at the same time. In canary, the application Is deployed incrementally to a select group of people.
正解:D
解説:
The correct answer is: In blue/green deployment, both old and new applications are in production at the same time. In canary deployment, the application is deployed incrementally to a select group of people. In a blue
/green deployment strategy, two identical environments, referred to as blue and green, are set up. The current production environment (blue) continues to serve live traffic while a new version of the application is deployed in the green environment. Once the new version is tested and deemed stable, traffic is routed from the blue environment to the green environment, making it the new production environment. This approach allows for a seamless switch between the old and new versions of the application. On the other hand, in a canary deployment strategy, the new version of the application is deployed incrementally to a small subset of users or a specific group. This allows for testing the new version in a real production environment while minimizing the impact of any potential issues. If the new version performs well and meets the desired criteria, it can be gradually rolled out to a larger audience or the entire user base. In summary, the main difference between blue/green and canary deployment strategies lies in how the deployment is managed. Blue/green involves simultaneous production of both old and new applications, while canary deployment focuses on incremental deployment to a select group of users.
質問 # 57
Your organization mandates that all containerized workloads deployed to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) must utilize Kubernetes NetworkPolicy resources, such as Calico, to enforce strict micro-segmentation of traffic. You have deployed these workloads to an enhanced OKE cluster using virtual node pools to minimize infrastructure maintenance. During testing, you discover that the Calico installation fails because NetworkPolicy resources and third-party CNI policy integrations are completely unsupported on this specific node configuration. How should you resolve this security implementation challenge while continuing to use VCN-Native Pod Networking?
- A. Define an OCI IAM policy that grants the OKE workload identity access to manage network security lists at the virtual node level.
- B. Reconfigure your virtual node pools to use the Flannel overlay plugin, which natively implements network policy isolation on virtual nodes.
- C. Migrate your workloads to managed node pools within the OKE cluster, where VCN-Native Pod Networking supports Calico for NetworkPolicy enforcement.
- D. Upgrade your OKE virtual nodes to Kubernetes version 1.30 or higher, which enables native, agentless NetworkPolicy support on virtual nodes.
正解:C
解説:
Oracle explicitly states that virtual nodes do not support Kubernetes NetworkPolicy resources or network providers such as Calico and Cilium that provide NetworkPolicy enforcement. Virtual nodes support only OCI VCN-Native Pod Networking and cannot use Flannel or other third-party CNI plugins. By contrast, Calico can be installed with managed node pools while retaining VCN-native pod networking. This combination enables Kubernetes NetworkPolicy objects to enforce pod-level traffic controls and micro- segmentation. An IAM policy or network security list cannot substitute for Kubernetes NetworkPolicy because OCI network controls and Kubernetes pod policy enforcement operate at different layers. Therefore, when Calico-based NetworkPolicy enforcement is mandatory, migrating the workload from virtual nodes to managed node pools is the supported OKE architecture.
質問 # 58
Which credential type is required to act as the password when authenticating the Docker CLI to Oracle Cloud Infrastructure Registry?
- A. API Signing Key
- B. Customer Secret Key
- C. OCI Auth Token
- D. Console Password
正解:C
解説:
Oracle Container Registry requires an OCI Auth Token when Docker prompts for the password during docker login. Oracle explicitly documents that the user first generates an auth token under the OCI user profile, then supplies the tenancy namespace and username as the Docker username and the auth token as the password. A Console password is intended for interactive OCI Console authentication and is not the Docker Registry credential. API signing keys authenticate signed OCI API requests used by the CLI, SDKs, and related tools, while Customer Secret Keys are associated with Object Storage compatibility APIs. Consequently, the programmatic credential designed specifically to serve as the Docker Registry password is the OCI Auth Token.
質問 # 59
Which configuration parameter defines the duration a message remains inside an Oracle Cloud Infrastructure (OCI) Queue before being automatically deleted by the service if it is not consumed?
- A. Maximum retention period
- B. Maximum delivery attempts
- C. Polling timeout
- D. Visibility timeout
正解:A
解説:
Themaximum retention perioddefines the total amount of time OCI Queue retains a message before automatically deleting it if a consumer has not removed it. Oracle currently allows this value to be configured from 10 seconds through seven days, with a default of one day. Visibility timeout serves a different purpose:
after a consumer retrieves a message, it temporarily hides that message from other consumers. Maximum delivery attempts controls how many unsuccessful delivery cycles can occur before a message is moved to the dead letter queue. Polling timeout determines how long a consumer request waits for messages to become available. Therefore, only the maximum retention period controls the overall lifetime of an unremoved message in OCI Queue.
質問 # 60
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 you must configure OCI Service Connector Hub to explicitly map each of the 12 consumer instances to its own partition.
- D. The instances are idling because each partition in a stream can be consumed by at most one consumer instance within a single consumer group.
正解:D
解説:
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.
質問 # 61
......
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