Oracle 1z0-1084-23 Exam With Confidence Using Practice Dumps

Explanation

The correct answers are: Set up the following dynamic group for your function's OCID: Name: read-file-dg Rule: resource.id = "ocid1.fnfunc.oc1.phx.aaaaaaaakeaobctakezjz5i4ujj7g25q7sx5mvr55pms6f4da" Set up a policy with the following statement to grant read access to the bucket: Statement: allow dynamic-group read-file-dg to read objects in compartment qa-compartment where target.bucket.name = 'input-bucket'Explanation: To implement the use case of reading a JSON file object from an Object Storage bucket using Resource Principals with Oracle Functions, you need to configure the following: Create a dynamic group named "read-file-dg" and associate it with your function's OCID. This dynamic group helps identify the function as a member of the group for policy enforcement. Create a policy that grants read access to the bucket. The policy statement should allow the dynamic group "read-file-dg" to read objects in the compartment "qa-compartment" and specify the target bucket name as "input-bucket". This policy ensures that the function has the necessary permissions to access the specified bucket. By setting up the dynamic group and policy, you ensure that the function, as a member of the dynamic group, has the required read access to the specified Object Storage bucket in the specified compartment.

 Cloud native is the software approach of building, deploying, and managing modern applications in cloud computing environments3. Cloud native apps are designed and built to exploit the scale, elasticity, resiliency, and flexibility the cloud provides4. Cloud native technologies support fast and frequent changes to applications without impacting service delivery, providing adopters with an innovative, competitive advantage3. Therefore, cloud native refers to the design and deployment of applications that are optimized for cloud infrastructure. Verified References: What is Cloud Native? - Everything you need to know, What is Cloud Native?| Microsoft Learn

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 isto 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.