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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Topic 2: Monitoring and Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
| Topic 3: Cloud Native Fundamentals | 11% | - Cloud Native Principles
|
| Topic 4: Cloud Native Applications and Containerization | 33% | - Oracle Cloud Infrastructure Registry
|
| Topic 5: Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions
|
>> 1z0-1084-26 PDF Question <<
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NEW QUESTION # 19
Who is responsible for patching, upgrading, and maintaining the worker nodes in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE)? (Choose the best answer.)
Answer: C
Explanation:
The user is responsible for patching, upgrading, and maintaining the worker nodes in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE). In OKE, the user has control over the worker nodes, which are the compute instances that run the Kubernetes worker components. As the user, you are responsible for managing and maintaining these worker nodes, including tasks such as patching the underlying operating system, upgrading Kubernetes versions, and performing any necessary maintenance activities. While Oracle provides the underlying infrastructure and support services, including managing the control plane and ensuring the availability of the OKE service, the responsibility for managing the worker nodes lies with the user. This allows you to have control and flexibility in managing your Kubernetes environment according to your specific needs and requirements.
NEW QUESTION # 20
Which testing measure should be considered when using test cases that simultaneously validate a deployment and perform a selected set of functional tasks?
Answer: D
Explanation:
The correct answer is: " Robust Deployment. " When using test cases that simultaneously validate a deployment and perform a selected set of functional tasks, the testing measure that should be considered is " Robust Deployment. " Robust Deployment refers to the ability of an application or system to be deployed reliably and consistently, without errors or failures. It involves ensuring thatthe deployment process is well- defined, automated, and able to handle different scenarios and configurations. When conducting testing that combines the validation of deployment and functional tasks, it is crucial to ensure that the deployment itself is robust. This means verifying that the application or system can be successfully deployed and configured without encountering deployment-related issues such as incorrect configurations, missing dependencies, or compatibility problems. By considering " Robust Deployment " as a testing measure, you can evaluate the reliability and effectiveness of the deployment process, ensuring that the application or system is deployed correctly and ready to perform the selected set of functional tasks.
NEW QUESTION # 21
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?
Answer: D
Explanation:
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.
NEW QUESTION # 22
Your team has been tasked with debugging a Cloud Native application developed using the following Oracle Cloud Infrastructure (OCI) services: Object Storage, Events, Functions, API Gateway, and Autonomous Database. Which of these is NOT a valid option for troubleshooting issues in OCI? (Choose the best answer.)
Answer: D
Explanation:
To troubleshoot issues in OCI, the option that is not valid is: Trace performance issues in the Application Performance Monitoring service by enabling Function traces. While the Application Performance Monitoring service in OCI allows you to monitor and trace the performance of your applications, it is specifically designed for monitoring OCI Functions (serverless functions) and does not directly apply to all types of applications. The other options mentioned, such as configuring logs in the OCI Logging service, leveraging OCI Cloud Guard for debug logs, viewing service metrics in the OCI Monitoring service, and using OCI Service Connector Hub for log forwarding, are valid options for troubleshooting and monitoring applications in OCI.
NEW QUESTION # 23
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)
Answer: B
Explanation:
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.
NEW QUESTION # 24
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