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Oracle 1z0-1084-24 Exam Syllabus Topics:

Topic	Details
Topic 1	Cloud Native Fundamentals: This section tests the ability of cloud developers and architects to understand the core principles of cloud native development. Candidates are expected to explain the fundamentals of cloud native and discuss the key pillars that support cloud native approaches.
Topic 2	Cloud Native Applications and Containerization: Candidates must demonstrate their knowledge of Docker, including its architecture and components, to effectively manage containerized applications. This includes using Oracle Cloud Infrastructure Registry (OCIR) to pull and push container images.
Topic 3	Testing and Securing Cloud Native Applications: Cloud engineers and developers are tested on their ability to analyze and evaluate cloud native testing methodologies, developing effective strategies for testing applications in a cloud-native environment.
Topic 4	Leveraging Serverless Technologies for Cloud Native Development: This part of the exam evaluates the ability to develop serverless applications using Oracle Functions. Candidates should be able to create API gateways to manage traffic from API clients and route it to back-end services, as well as establish integrations between systems using the OCI streaming service.
Topic 5	Monitoring & Troubleshooting Cloud Native Applications: This section assesses candidates' skills in monitoring and troubleshooting cloud native applications. They must utilize the OCI Monitoring service to view metrics and the OCI Logging service to manage and search logs effectively.

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Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q80-Q85):

NEW QUESTION # 80
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?

A. All services log to an external logging system.
B. All serviceAAs log to a shared log file.
C. All services log to standard output only.
D. Each service logs to its own log file.

Answer: C

NEW QUESTION # 81
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)

A. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.
B. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
C. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
D. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.

Answer: C,D

Explanation:
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery involves automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.

NEW QUESTION # 82
Which kubectl command syntax is valid for implementing a rolling update deployment strategy in Kubernetes? (Choose the best answer.)

A. kubectl upgrade -c <container> --image=image:v2
B. kubectl update <deployment-name> --image=image:v2
C. kubectl rolling-update <deployment-name> --image=image:v2
D. kubectl update -c <container> --iniage=image: v2

Answer: C

Explanation:
The correct syntax for implementing a rolling update deployment strategy in Kubernetes using the kubectl command is: kubectl rolling-update <deployment-name> --image=image:v2 This command initiates a rolling update of the specified deployment by updating the container image to image:v2. The rolling update strategy ensures that the new version of the application is gradually deployed while maintaining availability and minimizing downtime.

NEW QUESTION # 83
You have two microservices, A and B running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which includes service B. Which approach should you take to test service A?

A. Test using the current production version of service B.
B. Test using a previous test version of service B.
C. This is not possible because service B is a dependency.
D. Test using an API mock of service B.

Answer: D

Explanation:
The correct answer is: Test using an API mock of service B. To test service A without deploying all of its dependencies, including service B, you can use an API mock of service B. An API mock is a simulated version of the API that mimics the behavior of the actual service. By using an API mock, you can isolate the testing of service A and simulate the responses and behavior of service B's APIs. With an API mock, you can define the expected responses and behavior of service B's APIs, allowing you to test the integration between service A and the mocked version of service B. This approach enables you to verify the functionality of service A without relying on the availability or changes in the actual service B. By decoupling the dependencies and using an API mock, you can perform independent testing of service A, ensuring its functionality in isolation.

NEW QUESTION # 84
You have two microservices, A and B, running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which include service B. Which approach should you take to test service A?

A. Test against production APIs.
B. Test using API mocks.
C. There is no need to explicitly test APIs.
D. Test the APIs in private environments.

Answer: B

Explanation:
API mocking is a technique that simulates the behavior of real APIs without requiring the actual implementation or deployment of the dependent services1. API mocking allows you to test changes to service A without deploying all of its dependencies, such as service B, by creating mock responses for the APIs that service A relies on1. API mocking has several benefits, such as1:
* Faster testing: You can test your service A without waiting for service B to be ready or available, which reduces the testing time and feedback loop.
* Isolated testing: You can test your service A in isolation from service B, which eliminates the possibility of external factors affecting the test results or causing errors.
* Controlled testing: You can test your service A with different scenarios and edge cases by creating mock responses that mimic various situations, such as success, failure, timeout, etc.

NEW QUESTION # 85
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