Reasons to Choose Our Oracle 1Z0-1084-23 Exam Dumps

In the shared responsibility model, Oracle is responsible for securing the underlying cloud infrastructure and platform services, while customers are responsible for securing their data and applications within the cloud4.For provisioned OKE clusters, Oracle manages the control plane (master nodes) of the Kubernetes cluster, while customers manage the data plane (worker nodes) of the cluster5.Therefore, it is the responsibility of the customer to perform patching, upgrading, and maintaining of the worker nodes in provisioned OKE clusters5.Customers can use tools such as Terraform or kubectl to automate these tasks5.

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.

OCI Queue is a fully managed serverless service that helps decouple systems and enable asynchronous operations2.Queue handles high-volume transactional data that requires independently processed messages without loss or duplication2.A valid use case for OCI Queue is building decoupled and scalable systems, such as event-driven architectures or microservices-based applications2. For example, you can use Queue to decouple your application and build an event-driven architecture.Decoupling ensures that individual application components can scale independently and that you can future-proof your design so that as new application components are built, they can publish or subscribe to the queue2.

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.

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.