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NEW QUESTION 22
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 the APIs in private environments.
• B. There is no need to explicitly test APIs.
• C. Test against production APIs.
• D. Test using API mocks.

Answer: D

Explanation:
Best Practices: API Mocking:
This is where mocking comes in: instead of developing code with actual external dependencies in place, a mock of those dependencies is created and used instead. Depending on your development needs this mock is made "intelligent" enough to allow you to make the calls you need and get similar results back as you would from the actual component, thus enabling development to move forward without being hindered by eventual unavailability of external systems you depend on The most common term for creating simulated components is mocking, but others are also used, and partly apply to different things; stubbing, simulation, and virtualization. The basic concept is the same - instead of using an actual software component (an API in our case) - a "replacement" version of that API is created and used instead. It behaves as the original API, but lacks many of the functional and non-functional characteristics of the original component. Which term is applicable depends on the degree to which the mock-up corresponds to the actual API:
Stubbing: mostly a placeholder without real functionality
Mocking: basic functionality required for a specific testing or development purpose Simulation: complete functionality for testing or development purposes Virtualization: imulation that is deployed into an operational, manageable and controllable environment

References:
https://docs.oracle.com/en/solutions/build-governance-app-oracle-paas/test-custom-apis.html
https://www.soapui.org/learn/mocking/what-is-api-mocking/

NEW QUESTION 23
You have a containerized app that requires an Autonomous Transaction Processing (ATP) Database. Which option is not valid for o from a container in Kubernetes?

• A. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID, and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime.
• B. Enable Oracle REST Data Services for the required schemas and connect via HTTPS.
• C. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest.
• D. Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy serviceinstance and serviceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest.

Answer: B

Explanation:
The Kubernetes documentation lays out the following use case for the Service Catalog API:
An application developer wants to use message queuing as part of their application running in a Kubernetes cluster. However, they do not want to deal with the overhead of setting such a service up and administering it themselves. Fortunately, there is a cloud provider that offers message queuing as a managed service through its service broker.
A cluster operator can setup Service Catalog and use it to communicate with the cloud provider's service broker to provision an instance of the message queuing service and make it available to the application within the Kubernetes cluster. The application developer therefore does not need to be concerned with the implementation details or management of the message queue. The application can simply use it as a service.
The samples in the OCI Service Broker source code include a deployment YAML file that describes how to use an init container to take the values in the Autonomous Transaction Processing service binding and put them in environment variables or in a volume mount. After that, your application can use those values to connect to the database.
Once you've installed and registered the service broker, you're ready to use the ATP service plan to provision an ATP instance. I'll go into details below, but the overview of the process looks like so:
-Create a Kubernetes secret with a new admin and wallet password (in JSON format)
- Create a YAML configuration for the ATP Service Instance
- Deploy the Service Instance
- Create a YAML config for the ATP Service Binding
- Deploy the Service Binding to obtain which results in the creation of a new Kubernetes secret containing the wallet contents
- Create a Kubernetes secret for Microservice deployment use containing the admin password and the wallet password (in plain text format)
- Create a YAML config for the Microservice deployment which uses an initContainer to decode the wallet secrets (due to a bug which double encodes them) and mounts the wallet contents as a volume References:
https://blogs.oracle.com/developers/creating-an-atp-instance-with-the-oci-service-broker
https://blogs.oracle.com/cloud-infrastructure/integrating-oci-service-broker-with-autonomous-transaction-processing-in-the-real-world

NEW QUESTION 24
Which two are benefits of distributed systems?

• A. Ease of testing
• B. Resiliency
• C. Security
• D. Privacy
• E. Scalability

Answer: B,E

Explanation:
distributed systems of native-cloud like functions that have a lot of benefit like Resiliency and availability Resiliency and availability refers to the ability of a system to continue operating, despite the failure or sub-optimal performance of some of its components.
In the case of Oracle Functions:
The control plane is a set of components that manages function definitions.
The data plane is a set of components that executes functions in response to invocation requests.
For resiliency and high availability, both the control plane and data plane components are distributed across different availability domains and fault domains in a region. If one of the domains ceases to be available, the components in the remaining domains take over to ensure that function definition management and execution are not disrupted.
When functions are invoked, they run in the subnets specified for the application to which the functions belong. For resiliency and high availability, best practice is to specify a regional subnet for an application (or alternatively, multiple AD-specific subnets in different availability domains). If an availability domain specified for an application ceases to be available, Oracle Functions runs functions in an alternative availability domain.
Concurrency and Scalability
Concurrency refers to the ability of a system to run multiple operations in parallel using shared resources. Scalability refers to the ability of the system to scale capacity (both up and down) to meet demand.
In the case of Functions, when a function is invoked for the first time, the function's image is run as a container on an instance in a subnet associated with the application to which the function belongs. When the function is executing inside the container, the function can read from and write to other shared resources and services running in the same subnet (for example, Database as a Service). The function can also read from and write to other shared resources (for example, Object Storage), and other Oracle Cloud Services.
If Oracle Functions receives multiple calls to a function that is currently executing inside a running container, Oracle Functions automatically and seamlessly scales horizontally to serve all the incoming requests. Oracle Functions starts multiple Docker containers, up to the limit specified for your tenancy. The default limit is 30 GB of RAM reserved for function execution per availability domain, although you can request an increase to this limit. Provided the limit is not exceeded, there is no difference in response time (latency) between functions executing on the different containers.

NEW QUESTION 25
How can you find details of the tolerations field for the sample YAML file below?

• A. kubectl explain pod.spec.tolerations
• B. kubectl get pod.spec.tolerations
• C. kubectl list pod.spec.tolerations
• D. kubectl describe pod.spec tolerations

Answer: A

Explanation:
kubectl explain to List the fields for supported resources
explainkubectl explain [--recursive=false] [flags]Get documentation of various resources. For instance pods, nodes, services, etc.
References:
https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#explain
https://kubernetes.io/docs/reference/kubectl/cheatsheet/

NEW QUESTION 26
With the volume of communication that can happen between different components in cloud-native applications, it is vital to not only test functionality, but also service resiliency.
Which statement is true with regards to service resiliency?

• A. Resiliency is about avoiding failures.
• B. Resiliency testing can be only done in a test environment.
• C. Resiliency is about recovering from failures without downtime or data loss.
• D. A goal of resiliency is not to bring a service to a functioning state after a failure.

Answer: C

Explanation:
Implement resilient applications:
Resiliency is the ability to (recover) from failures and continue to function. It isn't about avoiding failures but accepting the fact that failures will happen and responding to them in a way that avoids downtime or data loss. The goal of resiliency is to return the application to a fully functioning state after a failure.
References:
https://docs.microsoft.com/en-us/dotnet/architecture/microservices/implement-resilient-applications/

NEW QUESTION 27
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