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NEW QUESTION 48
Which two are benefits of distributed systems?
Answer: D,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 49
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?
Answer: D
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 50
Which is NOT a supported SDK on Oracle Cloud Infrastructure (OCI)?
Answer: D
Explanation:
https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdks.htm
NEW QUESTION 51
You have been asked to create a stateful application deployed in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) that requires all of your worker nodes to mount and write data to persistent volumes.
Which two OCI storage services should you use?
Answer: B,C
Explanation:
A PersistentVolume (PV) is a piece of storage in the cluster that has been provisioned by an administrator. PVs are volume plugins like Volumes, but have a lifecycle independent of any individual Pod that uses the PV.
A PersistentVolumeClaim (PVC) is a request for storage by a user. It is similar to a Pod. Pods consume node resources and PVCs consume PV resources.
If you intend to create Kubernetes persistent volumes, sufficient block volume quota must be available in each availability domain to meet the persistent volume claim. Persistent volume claims must request a minimum of 50 gigabytes You can define and apply a persistent volume claim to your cluster, which in turn creates a persistent volume that's bound to the claim. A claim is a block storage volume in the underlying IaaS provider that's durable and offers persistent storage, enabling your data to remain intact, regardless of whether the containers that the storage is connected to are terminated.
With Oracle Cloud Infrastructure as the underlying IaaS provider, you can provision persistent volume claims by attaching volumes from the Block Storage service.
https://oracle.github.io/weblogic-kubernetes-operator/faq/oci-fss-pv/
https://kubernetes.io/docs/concepts/storage/persistent-volumes/
NEW QUESTION 52
Which two are required to enable Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster access from the kubect1 CLI?
Answer: C,D
Explanation:
Setting Up Local Access to Clusters
To set up a kubeconfig file to enable access to a cluster using a local installation of kubectl and the Kubernetes Dashboard:
Step 1: Generate an API signing key pair
Step 2: Upload the public key of the API signing key pair
Step 3: Install and configure the Oracle Cloud Infrastructure CLI
Step 4: Set up the kubeconfig file
Step 5: Verify that kubectl can access the cluster
References:
https://docs.cloud.oracle.com/en-us/iaas/Content/ContEng/Tasks/contengdownloadkubeconfigfile.htm
NEW QUESTION 53
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