Online Access Free 1z0-1109-23 Practice Test

You have a stack in Oracle Cloud Infrastructure (OCI) Resource Manager that is co-managed by multiple teams. Which statement is true?

• A.Resources provisioned by Resource Manager can only be managed through Resource Manager, preventing the state from becoming out of sync.
• B.The Terraform state may become corrupted if multiple people attempt Apply jobs in Resource Manager simultaneously.
• C.The resources in the stack can no longer be edited or destroyed through the Terraform CLI on a local machine.
• D.The resources in the stack can still be edited or destroyed through the OCI console, causing Resource Manager's state to be out of sync.

You are part of the cloud DevOps team managing thousands of compute Instances running in Oracle Cloud Infrastructure (OCI). The OCI Logging service is configured to collect logs from these Instances using a Unified Monitoring Agent. A requirement has been created to archive logging data into OCI Object Storage.
What OCI capability can help you achieve this requirement?

• A.Service Connector Hub
• B.IAM policy
• C.ObjectCollectionRule
• D.Logging Query

Which TWO components are optional while creating Monitoring Query Language (MQL) expressions in Oracle Cloud Infrastructure Monitoring service? (Choose two.)

• A.Interval
• B.Dimensions
• C.Metric
• D.Grouping Function
• E.Statistic

You host a microservices based application on the Oracle Cloud Infrastructure Con-tainer Engine for Kubernetes (OKE). Due to increased popularity of your application, you need to provision more resources to meet the growing demand. Which three statements are true for the given scenario?

• A.Scale a cluster up and down by changing the number of node pools in the cluster.
• B.Enable cluster autoscaling by autoscaling node pools by deploying Kubernetes Metrics Server and using the Kubernetes Vertical Pod Autoscaler to adjust the resource re-quests and limits.
• C.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.
• D.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.
• E.Enable autoscaling by autoscaling Pods by deploying Kubernetes Autoscaler to collect resource metrics from each worker node in the cluster.

In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?

• A.Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
• B.Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
• C.Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.
• D.Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.