Oracle 1Z0-1084-25 Exam Dumps

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.

To prevent images from being deleted from a repository, you can set the global policy of image retention to ''Retain All Images''. This policy applies to all repositories in the tenancy and overrides any individual repository settings. You can also lock the policy to prevent any changes to it. Verified Reference:Using Retention Rules to Preserve Data

To pull a Docker image from OCI Registry to the client machine, you need to use the docker pull command with the following syntax1: docker pull <region-key>.ocir.io/<tenancy-namespace>/<repo-name>:<tag> where:

<region-key> is the key for the OCI Registry region you're using. For example, iad.See Availability by Region1.

ocir.io is the OCI Registry name.

<tenancy-namespace> is the auto-generated Object Storage namespace string of the tenancy that owns the repository from which you want to pull the image (as shown on the Tenancy Information page)1.

<repo-name> is the name of the repository that contains the image you want to pull.

<tag> is the tag of the image you want to pull.

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.

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.