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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions
|
| Topic 2: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Testing
|
| Topic 3: Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Topic 4: Cloud Native Applications and Containerization | 33% | - Container Orchestration
|
| Topic 5: Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
|
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NEW QUESTION # 53
Which design pattern is used when a microservice needs to atomically perform a database write and send a notification event using a single local transaction?
Answer: B
Explanation:
The Transactional Outbox pattern addresses the distributed-system dual-write problem by recording both the business-state change and an outgoing event within one local database transaction. Rather than attempting to atomically update a database and independently publish to a messaging platform, the service writes the event into an outbox table alongside the business update. Because both database modifications occur within the same transaction, they commit or roll back together. A separate publisher subsequently reads the outbox and sends the event to the messaging infrastructure. Oracle ' s current microservices architecture documentation explicitly identifies Transactional Outbox as the pattern for sending a message and performing a data manipulation operation within a single local transaction. Saga and CQRS address different distributed-system concerns.
NEW QUESTION # 54
You want to push a new image in the Oracle Cloud Infrastructure (OCI) Registry. Which TWO actions would you need to perform? (Choose two.)
Answer: B,E
Explanation:
To push a new image to the Oracle Cloud Infrastructure (OCI) Registry, you would need to perform the following two actions: Assign a tag via Docker CLI to the image: Before pushing the image, you need to assign a tag to it using the Docker CLI. The tag helps identify the image and associate it with a specific version or label. Generate an auth token to complete the authentication via Docker CLI: To authenticate and authorize the push operation, you need to generate an auth token. This token is used to authenticate your Docker CLI with the OCI Registry, allowing you to push the image securely. Note: Generating an API signing key, assigning an OCI defined tag via OCI CLI, and generating an OCI tag namespace are not required steps for pushing a new image to the OCI Registry.
NEW QUESTION # 55
Which technique is used for testing the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies?
Answer: D
Explanation:
End-to-end testing is a technique that involves checking the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies3. End-to-end testing simulates real user scenarios and validates the functionality, performance, reliability, and security of the app from start to finish3. End-to-end testing has several benefits, such as3:
* Comprehensive testing: You can test your app as a whole and verify that all the components work together as expected.
* User-centric testing: You can test your app from the user's perspective and ensure that it meets the user' s needs and expectations.
* Quality assurance: You can test your app in a realistic environment and identify any issues or defects before releasing it to the users.
NEW QUESTION # 56
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)
Answer: C,D
Explanation:
The two main reasons to choose a serverless architecture are: Automatic horizontal scaling: Serverless architectures allow for automatic scaling of resources based on demand. The infrastructure automatically provisions and scales resources as needed, ensuring that applications can handle varying workloads efficiently. This eliminates the need for manual scaling and optimizes resource utilization. Reduced operational cost: Serverless architectures follow a pay-per-use model, where you are billed only for the actual execution time and resources consumed by your functions. This leads to cost savings as you don ' t have to pay for idle resources. Additionally, serverless architectures remove the need for managing and maintaining servers, reducing operational overhead and associated costs.Explanation: No need for integration testing:
Integration testing is still necessary in serverless architectures to ensure that functions integrate correctly with other components and services. Serverless functions can interact with various event sources, databases, and APIs, and testing is required to verify the integration points. Improved in-function state management:
Serverless architectures typically encourage stateless functions that operate on short-lived requests or events.
While there are mechanisms to manage state within a function, serverless architectures are designed to be stateless by default, promoting scalability and fault tolerance. Easier to run long-running operations:
Serverless functions are generally designed for short-lived operations rather than long-running tasks. If you have a requirement for long-running operations, a serverless architecture may not be the ideal choice, as it has execution time limits and may not provide the necessary resources for extended execution.
NEW QUESTION # 57
You deployed a Python application to an Oracle Container Engine for Kubernetes (OKE) cluster. However, while testing you found a bug, which you rectified and then created a new Docker image. You now need to ensure that if this new image does not work once deployed, you should be able to roll back to the previous version. Using kubect1, which strategy should you use?
Answer: D
Explanation:
A rolling update is a deployment strategy that gradually replaces the old version of an application with the new version without any downtime4. OKE supports rolling updates by using the kubectl rollout command4. A rolling update allows you to roll back to the previous version if something goes wrong with the new version4.
Therefore, using a rolling update strategy with kubectl ensures that you can roll back to the previous version of your Python application if the new image does not work once deployed.Verified References: Deploy Oracle Container Engine for Kubernetes
NEW QUESTION # 58
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