1Z0-1109-24 LATEST EXAM REGISTRATION - 1Z0-1109-24 TRUSTWORTHY SOURCE

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1z0-1109-24 Latest Exam Registration - 1z0-1109-24 Trustworthy Source

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Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q38-Q43):

NEW QUESTION # 38
As a DevOps engineer working on an OCI project, you're setting up a deployment pipeline to automate your application deployments.
Which statement is false about deployment pipeline in OCI DevOps?

  • A. You can add a Traffic Shift stage that routes the traffic between two environments.
  • B. Using deployment pipeline, you can deploy helm charts in OCI Function.
  • C. You can add an Approval stage that pauses the deployment for a specified duration for manual decision from the approver.
  • D. You can add a Wait stage that adds a specified duration of delay in the pipeline.

Answer: B

Explanation:
Helm charts are used to manage Kubernetes deployments, not OCI Functions. Helm charts are deployed to Kubernetes clusters, such as OCI Container Engine for Kubernetes (OKE), to manage containerized applications. OCI Functions are serverless and do not use Helm charts for deployment.


NEW QUESTION # 39
Your team is working on a project to deploy a microservices-based application on a cloud platform using Terraform. Each microservice has specific configurations and dependencies, and you want to ensure modularity, reusability, and consistency across deployments.
Which Terraform feature would you use to achieve these objectives efficiently?

  • A. Terraform Providers
  • B. Terraform Variables
  • C. Terraform Modules
  • D. Terraform Workspaces

Answer: C

Explanation:
Terraform Modules are used to organize and group related configuration resources into reusable components. By using modules, you can achieve modularity, reusability, and consistency across different deployments, making it easier to manage complex infrastructure setups.
For a microservices-based application, where each microservice has specific configurations and dependencies, modules allow you to define the infrastructure for each microservice in a modular way. This helps to maintain clean, reusable code and ensures consistency across deployments.


NEW QUESTION # 40
As a DevOps Engineer, you are tasked with explaining the key concepts of Terraform to a new team member. You want to ensure they understand the fundamental concepts of Terraform.
Which of the following best describes the purpose of Terraform variables?

  • A. Terraform variables are used to output the final state of the infrastructure after deployment.
  • B. Terraform variables are used to define input values for Terraform configurations, allowing for customization and reuse of infrastructure code.
  • C. Terraform variables are used to manage the life cycle of Terraform resources.
  • D. Terraform variables are used to define the structure and organization of Terraform configuration files.

Answer: B

Explanation:
Terraform variables are used to define input values for Terraform configurations. They allow users to customize infrastructure deployments by providing different values without modifying the configuration files themselves. Variables help in creating reusable infrastructure code, making it easy to maintain and adjust the infrastructure setup according to different environments or needs.


NEW QUESTION # 41
As a cloud engineer, you are responsible for managing a Kubernetes cluster on the Oracle Cloud Infrastructure (OCI) platform for your organization. You are looking for ways to ensure reliable operations of Kubernetes at scale while minimizing the operational overhead of managing the worker node infrastructure.
Which cluster option is the best fit for your requirement?

  • A. Creating and managing worker nodes using OCI compute instances
  • B. Using Kubernetes cluster add-ons to automate worker node management
  • C. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
  • D. Using OCI OKE virtual nodes to eliminate worker node infrastructure management

Answer: D

Explanation:
Step 1: Understanding the Requirement
The goal is to ensure reliable operations of Kubernetes at scale while minimizing the operational overhead of managing worker node infrastructure. In this context, a solution is needed that abstracts away the complexity of managing, scaling, and maintaining worker nodes.
Step 2: Explanation of the Options
A . Using OCI OKE managed nodes with cluster autoscalers
While this option provides managed node pools and uses cluster autoscalers to adjust resources based on demand, it still requires some level of management for the underlying worker nodes (e.g., patching, upgrading, monitoring).
Operational overhead: Moderate.
B . Using OCI OKE virtual nodes
Virtual nodes in OCI OKE are a serverless option for running Kubernetes pods. They remove the need to manage underlying worker nodes entirely.
OCI provisions resources dynamically, allowing scaling based purely on pod demand.
There's no need for node management, patching, or infrastructure planning, which perfectly aligns with the requirement to minimize operational overhead.
Operational overhead: Minimal.
Best Fit for This Scenario: Since the requirement emphasizes minimizing operational overhead, this is the ideal solution.
C . Using Kubernetes cluster add-ons to automate worker node management Kubernetes add-ons like Cluster Autoscaler or Node Problem Detector help in automating some aspects of worker node management. However, this still requires managing worker node infrastructure at the core level.
Operational overhead: Moderate to high.
D . Creating and managing worker nodes using OCI compute instances
This involves manually provisioning and managing compute instances for worker nodes, including scaling, patching, and troubleshooting.
Operational overhead: High.
Not Suitable for the Requirement: This option contradicts the goal of minimizing operational overhead.
Step 3: Why Virtual Nodes Are the Best Fit
Virtual Nodes in OCI OKE:
Virtual nodes provide serverless compute for Kubernetes pods, allowing users to run workloads without provisioning or managing worker node infrastructure.
Scaling: Pods are automatically scheduled, and the required infrastructure is dynamically provisioned behind the scenes.
Cost Efficiency: You only pay for the resources consumed by the running workloads.
Use Case Alignment: Eliminating the burden of worker node infrastructure management while ensuring Kubernetes reliability at scale.
Step 4: References and OCI Resources
OCI Documentation:
OCI Kubernetes Virtual Nodes
OCI Container Engine for Kubernetes Overview
Best Practices for Kubernetes on OCI:
Best Practices for OCI Kubernetes Clusters


NEW QUESTION # 42
How can you scale a deployment named nodejs-deployment to have two replicas?

  • A. kubectl resize deployment nodejs-deployment --replicas=2
  • B. kubectl adjust deployment nodejs-deployment --replicas=2
  • C. kubectl set replicas deployment nodejs-deployment --replicas=2
  • D. kubectl scale deployment nodejs-deployment --replicas=2

Answer: D

Explanation:
The kubectl scale command is used to scale the number of replicas in a deployment. By specifying the --replicas flag, you define the desired number of replicas for the deployment.
(kubectl set replicas) is not the correct syntax for scaling a deployment.
(kubectl resize) is not a valid command for scaling a deployment.
(kubectl adjust) is also not a valid Kubernetes command.


NEW QUESTION # 43
......

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