Oracle Updated 1z0-1109-23 Exam Questions and Answers by miya

Explanation

The correct option is: A playbook could be leveraged and executed against the group of web servers, as defined in the Inventory. Then, Ansible would connect to each server and apply the same set of configurations. In Ansible, a playbook is a YAML file that describes a series of plays and tasks to be executed against a group of hosts. The inventory file defines the group of web servers that need to be patched. By leveraging a playbook, the DevOps team can define the desired configuration or patching tasks once and apply them consistently across all the web servers in the group. An-sible will connect to each server in the inventory and execute the tasks defined in the playbook, ensuring that the desired configurations or patches are applied uniformly. This approach simplifies the management of multiple servers as the same playbook can be executed against the entire group, eliminating the need to manually configure each server individually. It also allows for automation and repeatability, ensuring that the desired changes are applied consistently and efficiently.

Explanation

The connection option that is NOT valid for connecting to an Oracle Autonomous Transaction Pro-cessing (ATP) Database from Oracle Container Engine for Kubernetes (OKE) is: Enable Oracle REST Data Services for the required schemas and connect via HTTPS. Enabling Oracle REST Data Services (ORDS) is not a valid method for connecting to an ATP Database from OKE. ORDS is a tool that allows you to create RESTful web services against Oracle databases. However, it is not the recommended method for establishing a connection between a containerized application in OKE and an ATP Database. The other three options mentioned are valid approaches: Creating a Kuber-netes secret with contents from the ATP instance Wallet files: This allows you to securely store and use the necessary credentials to connect to the ATP Database in your application's deployment man-ifest. Using Kubernetes secrets to configure environment variables on the container with ATP in-stance OCID and OCI API credentials: This approach allows you to set environment variables with-in your application container to provide the necessary connection details to the ATP Database. In-stalling the OCI Service Broker and deploying serviceinstance and ServiceBinding resources for ATP: The OCI Service Broker simplifies the process of provisioning and managing Oracle Cloud Infrastructure (OCI) services, including ATP, from within Kubernetes. This option allows you to create a service binding that provides the necessary connection information to your application as a volume in the deployment manifest. These options provide more direct and secure connections be-tween the containerized application in OKE and the ATP Database, ensuring proper integration and data access.

The correct way is to use the variables section in your build_spec.yaml file to define variables and assign values to them. You can also use the vaultVariable section to define variables that hold the content of the vault secrets in OCID format. You can then use these variables in other sections of your build_spec.yaml file by using the syntax $(VARIABLE_NAME). You can also use the exportedVariables section to define variables that can be used in subsequent stages of the same pipeline. Verified References: [Variables - Oracle Cloud Infrastructure DevOps], [Defining Variables - Oracle Cloud Infrastructure DevOps]

The statements that are true for scaling an OKE cluster to meet growing demand are:

• Enable autoscaling by autoscaling Pods by deploying Kubernetes Autoscaler to collect resource metrics from each worker node in the cluster. Pod autoscaling is a feature that allows you to adjust the number of pods in a deployment or replica set based on the CPU or memory utilization of the pods. You can use Kubernetes Autoscaler, which is an add-on component that you can install on your OKE cluster, to collect resource metrics from each worker node and scale the pods up or down accordingly.
• Enable cluster autoscaling by autoscaling node pools by deploying the Kubernetes Autoscaler to automatically resize a cluster’s node pools based on application workload demands. Cluster autoscaling is a feature that allows you to adjust the number of nodes in a node pool based on the pod requests and limits of the pods running on the nodes. You can use Kubernetes Autoscaler, which is an add-on component that you can install on your OKE cluster, to monitor the pod requests and limits and scale the node pools up or down accordingly.
• Scale a node pool up and down to change the number of worker nodes in the node pool, and the availability domains and subnets in which to place them. A node pool is a group of worker nodes within an OKE cluster that share the same configuration, such as shape, image, subnet, etc. You can use OCI Console, CLI, or API to scale a node pool up and down by adding or removing worker nodes from it. You can also change the availability domains and subnets for your node pool to distribute your nodes across different fault domains. Scaling a node pool allows you to adjust your cluster capacity according to your application workload demands. Verified References: [Scaling Clusters - Oracle Cloud Infrastructure Container Engine for Kubernetes], [Scaling Node Pools - Oracle Cloud Infrastructure Container Engine for Kubernetes]