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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Fundamentals | 11% | - Cloud Native Principles
|
| Testing and Securing Cloud Native Applications | 13% | - OCI Vault
|
| Cloud Native Applications and Containerization | 33% | - Docker and Containerization
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions
|
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
|
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NEW QUESTION # 167
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?
Answer: C
Explanation:
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.
NEW QUESTION # 168
You are deploying a persistent stateful microservice to a Container Engine for Kubernetes (OKE) cluster running Kubernetes version 1.28. You configure a PersistentVolumeClaim (PVC) manifest but do not explicitly specify a value for the storageClassName property.
Which storage class will OKE initially apply by default to dynamically provision the block storage for this claim?
Answer: D
Explanation:
Oracle documents two predefined OKE Block Volume storage classes: oci-bv, which uses the CSI volume plugin, and oci, which uses the older FlexVolume plugin. For clusterscreated using Kubernetes version 1.24 or later, Oracle initially configures oci-bv as the default StorageClass. Because Kubernetes 1.28 is later than
1.24, a newly created 1.28 cluster uses oci-bv when a PVC omits storageClassName. Oracle recommends the CSI plugin and continues adding new functionality to it. An important exception applies to clusters originally created with Kubernetes 1.23 or earlier and subsequently upgraded-their original oci default can remain unchanged. Under the scenario stated, however, the initial default is oci-bv.
NEW QUESTION # 169
You are a developing a microservices application that will be a consumer of the Oracle Cloud Infrastructure (OCI) Streaming service. Which API method should you use to read and process a stream?
Answer: C
Explanation:
The correct API method to read and process a stream in the Oracle Cloud Infrastructure (OCI) Streaming service is " GetMessages " . When consuming messages from a stream in OCI Streaming, you use the " GetMessages " API method. This method allows you to retrieve a batch of messages from the stream for processing. You can specify parameters such as the number of messages to retrieve, the maximum size of the messages, and the timeout for the request. By using the " GetMessages " API method, you can retrieve messages from the stream and then process them in your microservices application. This allows you to consume and handle the data in real-time as it becomes available in the stream. The " GetMessages " method provides flexibility in how you consume and process the messages, enabling you to implement custom logic and workflows based on your specific application requirements.
NEW QUESTION # 170
You plan to implement logging in your services that will run in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE). Which statement describes the appropriate logging approach?
Answer: D
Explanation:
The appropriate logging approach for services running in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) is: " All services log to standard output only. " When running services in a containerized environment like OKE, it is recommended to follow the Twelve-Factor App methodology, which suggests treating logs as event streams. According to this methodology, services should write their log events to standard output (stdout) instead of writing to log files. By logging to standard output, the container runtime (such as Kubernetes) can collect and aggregate the logs generated by the services. These logs can then be accessed and managed through the container runtime ' s logging infrastructure. Logging to standard output offers several advantages in a containerized environment: Simplicity and consistency: Standardizing on logging to stdout ensures a consistent approach across different services, making it easier to manage and analyze logs. Log aggregation: The container runtime can collect the logs from all the running containers and provide centralized log management, allowing you to access and search logs from different services in one place. Scalability: Since logs are written to stdout, they can be easily handled by the container runtime ' s log management system, which can scale to handle large volumes of log data. Separation of concerns: By logging to stdout, the responsibility of managing log files and their rotation is shifted to the container runtime, allowing the services to focus on their core functionality. While it is possible to log to log files or external logging systems, the recommended approach in a containerized environment like OKE is to log to standard output and leverage the logging infrastructure provided by the container runtime.
NEW QUESTION # 171
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 # 172
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