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| Section | Weight | Objectives |
|---|---|---|
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
| Cloud Native Applications and Containerization | 33% | - OCI Registry
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - API Gateway
|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Cloud Native Fundamentals | 11% | - Microservices Architecture
|
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NEW QUESTION # 145
Which TWO statements accurately describe an Oracle Functions application? (Choose two.)
Answer: C,D
Explanation:
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.
NEW QUESTION # 146
Which is the smalled unit of Kubernetes architecture?
Answer: D
Explanation:
The smallest unit of Kubernetes architecture is a Pod. A Pod is a logical grouping of one or more containers that are deployed together on the same host and share the same network namespace, storage, and other resources. It represents the smallest deployable unit in Kubernetes and is used to encapsulate and manage one or more closely related containers. Containers within a Pod are scheduled and deployed together, allowing them to communicate and share resources efficiently.
NEW QUESTION # 147
You are troubleshooting a containerized microservice on a development host and need to obtain its full configuration metadata, including network settings and volume mounts, in JSON format. Which command should you run to retrieve this detailed information?
Answer: B
Explanation:
The docker inspect command retrieves detailed low-level metadata for Docker objects and returns the information in JSON format by default. Oracle ' s Docker documentation explicitly states that docker inspect can obtain full information about a container in JSON format and can expose specific configuration elements through formatting options. This includes network configuration, mapped ports, mounted storage, environment details, container state, and other runtime properties. docker stats provides live CPU, memory, network, and I/O utilization rather than static configuration metadata. docker history examines the image layer history and Dockerfile-derived changes. docker system provides system-wide administration commands and cleanup operations rather than detailed inspection of an individual container. Therefore, docker inspect is the appropriate troubleshooting command.
NEW QUESTION # 148
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)
Answer: C
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 # 149
With the volume of communication that can happen between different components in cloud-native applications, it is vital to not only test functionality, but also service resiliency. Which statement is true regarding service resiliency?
Answer: A
Explanation:
The correct answer is: " Resiliency is about recovering from failures without downtime or data loss. " Service resiliency, in the context of cloud-native applications, is the ability of a service or system to recover from failures and continue functioning without downtime or data loss. It involves designing and implementing mechanisms to handle failures, such as network outages, hardware failures, or software errors, in a way that minimizes the impact on the overall system. The goal of resiliency is to ensure that the application or service can continue to operate and provide a certain level of functionality, even in the face of failures. This typically involves techniques such as redundancy, fault tolerance, and graceful degradation. By implementing resiliency measures, a cloud-native application can recover and adapt to failures, maintain availability, and preserve data integrity. The other statements are not accurate regarding service resiliency: Resiliency is not about not bringing a service to a functioning state after a failure. Instead, it is about recovering from failures and ensuring continued functionality. Resiliency is not about avoiding failures entirely. While it is desirable to prevent failures, resiliency focuses on the ability to handle and recover from failures when they do occur.
Resiliency testing is not limited to a test environment. It is important to test and validate the resiliency measures in both test environments and production environments to ensure the application can effectively handle failures in real-world scenarios.
NEW QUESTION # 150
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