1z0-1109-23 Exam Dumps - Oracle Cloud Infrastructure Certification Questions and Answers

To automatically push the modified code changes to the production, you can use the OCI DevOps Triggers feature. A trigger is a rule that defines when a build or deployment pipeline should run based on an event, such as a code commit, a pull request, or a schedule. You can create a trigger that runs your build and deployment pipelines on every code commit to your Git repository, which will ensure that your production environment is always up to date with the latest changes. Verified References: [Triggers - Oracle Cloud Infrastructure DevOps], [Creating Triggers - Oracle Cloud Infrastructure DevOps]

Explanation

To use a Kubernetes cluster in your deployment architecture on Oracle Cloud Infrastructure (OCI) with OCI DevOps service, the two recommended tools or services are: Terraform: Terraform is a widely used Infrastructure-as-Code (IaC) tool that allows you to define and manage your infra-structure resources in a declarative way. You can use Terraform to define and provision your Ku-bernetes cluster on OCI, including the necessary networking, compute resources, and container services. Ansible Collection: Ansible is an open-source automation tool that helps with configuration management, application deployment, and orchestration. The Ansible Collection for OCI provides modules and playbooks specifically designed to manage and interact with OCI resources, including Kubernetes clusters. You can use Ansible Collection to automate the deployment and management of your Kubernetes cluster on OCI. The other options mentioned are not directly related to managing Kubernetes clusters on OCI: Compute Jenkins Plug-in: Jenkins is a popular open-source automation server used for Continuous Integration/Continuous Deployment (CI/CD) processes. The Compute Jenkins Plug-in is specific to managing OCI compute resources using Jenkins but does not directly address Kubernetes cluster deployment. Chef Knife Plug-in: Chef is a configuration management tool that helps with managing infrastructure as code. The Chef Knife Plug-in is used to interact with the Chef tool, but it does not directly address Kubernetes cluster deployment on OCI. OCI Resource Manager: OCI Resource Manager is a service that helps you automate the process of deploying infrastructure resources on OCI. While it can be used to manage various OCI resources, including compute instances, it does not specifically focus on Kubernetes cluster deployment.

Explanation

In the Deployment Pipeline, when a deployment stage fails during the deployment of an update to production, the recommended action is to: Rollback the failed stage in the pipeline to the previous successful released version. By rolling back the failed stage to the previous successful version, you can revert the deployment to a known stable state and prevent the failed changes from being re-leased to production. This helps to maintain the stability and integrity of the application. It allows you to address the issues encountered in the failed stage, make necessary fixes or adjustments, and then proceed with the deployment again once the issues are resolved. The other options mentioned are not the most appropriate actions to perform in this scenario: Automating backup and using the rerelease stage: While backups are important for data protection, automating backup and using a rerelease stage would not directly address the failure in the deployment stage. It is more focused on data backup and recovery. Adding Rescue and Trigger stages: Adding Rescue and Trigger stages might help in certain situations, but they are not the primary solution for handling a failed deployment stage. They are more related to error recovery mechanisms or additional deployment steps, rather than specifically addressing the failed stage. Using OCI DevOps Trigger and Rerun tool: While OCI DevOps Trigger and Rerun tool can be useful for automating and managing deployments, it is not specifically designed to handle a failed deployment stage. It is more focused on triggering and rerunning pipelines or stages based on specific conditions or events.

Explanation

The recommended solution to achieve the requirements mentioned would be: Configure OCI Com-pute agent on OCI compute instances to collect the required resource metrics. Use OCI Events and Functions services to track the end-to-end deployment pipeline (com.oraclecloud.devopsdeploy.createdeployment) and the creation of new OCI Object Storage buckets (com.oraclecloud.objectstorage.createbucket). Finally, utilize OCI Notifications and Events services to notify these changes. Explanation: Continuous monitoring with resource metrics: Install and configure the OCI Compute agent on the OCI compute instances to collect the required re-source metrics such as CPU utilization, memory utilization, and disk IOPS. This ensures continuous monitoring of the VMs as they are migrated to OCI. Monitoring the deployment pipeline: Utilize the OCI Events service to track the end-to-end deployment pipeline. Specifically, use the event type "com.oraclecloud.devopsdeploy.createdeployment" to monitor the deployment process. This allows you to track the progress and status of the migration workflow. Notification for new OCI Object Storage buckets: Leverage the OCI Notifications service in conjunction with the OCI Events ser-vice. Set up a notification rule to trigger an email notification whenever a new OCI Object Storage bucket is created. Use the event type "com.oraclecloud.objectstorage.createbucket" to identify the creation of new buckets. By combining the OCI Compute agent, OCI Events service, Functions service, and Notifications service, you can ensure continuous monitoring of resource metrics, track the deployment pipeline, and receive email notifications for any new OCI Object Storage bucket creations during the migration workflow.

Explanation

The company can use the OCI DevOps Triggers feature to automate deployment of their application code changes to the production server. Therefore, the correct answer is: OCI DevOps Triggers feature can be used to automate deployment. OCI DevOps Triggers allow for automatic builds and de-ployments based on changes to the code repository. When a new commit is pushed to the reposito-ry, the trigger can initiate a build pipeline that creates an artifact and deploys the new version of the application to the production server. Here is the link to the official documentation on using triggers in OCI DevOps to automate application deployment: Reference: https://docs.cloud.oracle.com/en-us/iaas/devops/using/using-triggers.htm

Explanation

The reason why the storage administrator cannot associate an encryption key from OCI Vault to an Object Storage bucket in a new compartment could be: There is no Identity and Access Management (IAM) policy allowing the Object Store service to use the Vault key. This is because an IAM policy is required to authorize the Object Storage service to use the encryption key from OCI Vault. The IAM policy should allow the service to use the key and also give permission to access the Vault resource. Without the appropriate IAM policy in place, the storage administrator will not be able to associate the encryption key with the Object Storage bucket. Here is the link to the official documentation on associating an Oracle-managed encryption key from OCI Vault with an Object Storage bucket: Reference: https://docs.cloud.oracle.com/en-us/iaas/Content/Object/Tasks/managingencryptionkeys.htm#associating-oci-vault-managed-keys-with-object-storage-buckets

One of the ways that OCI DevOps deployment pipelines reduce risk and complexity of production applications is by reducing change-driven errors introduced by manual deployments. A deployment pipeline is a sequence of stages that automates the delivery of software from source code to production. By using a deployment pipeline, you can eliminate human errors, enforce quality checks, and ensure consistency across different environments. A deployment pipeline also enables faster feedback loops, easier rollback, and improved traceability of changes. Verified References: [Deployment Pipelines - Oracle Cloud Infrastructure DevOps], [Creating Deployment Pipelines - Oracle Cloud Infrastructure DevOps]

Explanation

The correct answer is: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In the DevOps lifecycle, continuous delivery and continuous deployment are both approaches to software release and deployment, but they differ in the level of automation and manual intervention involved. Continuous delivery refers to the practice of continuously preparing software releases in a way that they could be deployed to production at any time. It focuses on automating the build, test, and deployment processes, ensuring that software is always in a deployable state. However, the decision to actually deploy the software to production is made manually, typically by a human operator or team. On the other hand, continuous deployment takes the automation one step further. With continuous deployment, the software is automatically deployed to production as soon as it passes all the necessary tests and checks. There is no manual intervention in the deployment process, and it is fully automat-ed. This approach allows for faster and more frequent deployments, reducing the time between developing new features and making them available to users. So, the main difference is that continuous delivery requires a manual trigger for deployment to production, while continuous deployment automates the deployment process without the need for manual intervention.

Explanation

The prerequisite for creating a secret in Oracle Cloud Infrastructure Vault service is to have a Vault managed key to encrypt the secret. Explanation: Oracle Cloud Infrastructure Vault service provides a secure and centralized location for storing secrets such as passwords, API keys, and other sensitive information. When creating a secret in Vault, one of the prerequisites is to have a Vault man-aged key. The Vault managed key is used to encrypt the secret data, ensuring its confidentiality and security. By utilizing a Vault managed key, the secret can be securely stored and managed within the Oracle Cloud Infrastructure Vault service.

Explanation

When creating Monitoring Query Language (MQL) expressions in Oracle Cloud Infrastructure Monitoring service, the optional components are: Dimensions: Dimensions provide additional con-text or filters for the metrics being queried. They allow you to narrow down the scope of the query by specifying specific resources, regions, or other properties. Grouping Function: The grouping function is used to aggregate or group the data based on specified dimensions. It allows you to perform calculations or analysis on a subset of data and present the results in a summarized form. The components that are not optional when creating MQL expressions are: Statistic: The statistic component is mandatory and represents the specific metric or data point you want to retrieve or analyze. It can be a simple statistic like average, sum, count, etc., or a complex expression involving mathematical or logical operations. Metric: The metric component is also mandatory and refers to the specific metric you want to monitor or analyze. It represents the data being collected and reported by the monitoring service, such as CPU utilization, network traffic, or custom metrics. Interval is not a component of MQL expressions. It refers to the time range or period over which the query is executed and is not specified within the MQL expression itself. Reference: https://docs.oracle.com/en-us/iaas/Content/Monitoring/Reference/mql.htm