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Almost everyone is trying to get Oracle Cloud Infrastructure 2025 DevOps Professional (1Z0-1109-25) certification to update their CV or get the desired job. Nowadays, everyone is interested in taking the Oracle Cloud Infrastructure 2025 DevOps Professional (1Z0-1109-25) exam because it has multiple benefits for the future. Every candidate faces just one problem, and that is not getting updated Oracle Cloud Infrastructure 2025 DevOps Professional (1Z0-1109-25) practice questions.

Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q33-Q38):

NEW QUESTION # 33
Which is NOT a valid log category for the Oracle Cloud Infrastructure Logging service?

A. Service Logs
B. Execution Logs
C. Audit Logs
D. Custom Logs

Answer: B

Explanation:
The Oracle Cloud Infrastructure Logging service has several log categories that users can utilize:
Custom Logs: Users can create their own logs to collect application-specific data.
Audit Logs: These logs contain audit records that provide information about activities performed on resources, generated by OCI Audit service.
Service Logs: These are logs generated by OCI services, providing information about the functioning and performance of the services.
Execution Logs is not a valid log category in OCI Logging. There are no "execution logs" as a defined category for the Logging service.

NEW QUESTION # 34
As an engineer building and deploying applications using an OCI DevOps project, which two capabilities can help ensure the security and reliability of the code in the build and deployment pipelines? (Choose two.)

A. Using Application Dependency Management (ADM) to identify security weaknesses in software applications by checking their dependencies
B. Using third-party tools like Ansible, Terraform, or OverOps to analyze code for security defects or bugs in code quality
C. Using version control tools like Git or SVN to track and manage changes in the codebase
D. Using JIRA to track user stories and bug fixes in the development process
E. Using third-party tools like Sonatype, SonarQube, or OverOps to analyze code for security defects or bugs in code quality

Answer: A,E

NEW QUESTION # 35
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?

A. By selecting a managed node pool, a GPU shape, and a GPU image, and ensuring that the CUDA libraries for different GPUs are pre-installed on the worker nodes
B. By selecting a managed node pool, a GPU shape, and a GPU image that has CUDA libraries pre-installed, and specifying the number of GPU resources required in the pod spec
C. By selecting a managed node pool, a GPU shape, and a GPU image, and specifying the number of CPU resources required in the pod spec
D. By selecting a virtual node pool, a GPU shape, and a GPU image, and ensuring that the CUDA libraries are included in the application container

Answer: B

Explanation:
To run applications on GPU worker nodes in Oracle Kubernetes Engine (OKE), you need to:
Select a managed node pool and choose a GPU shape for the worker nodes.
Use a GPU image that has the necessary CUDA libraries pre-installed to ensure that GPU workloads can be executed properly.
In the pod specification, specify the number of GPU resources required for the container to utilize the GPU hardware during execution. This allows Kubernetes to schedule the pod on a node with an available GPU.

NEW QUESTION # 36
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 # 37
How does the Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) Cluster Autoscaler determine when to create new nodes for an OKE cluster?

A. When the rate of requests to the application crosses a configured threshold.
B. When the custom metrics from the services exceed a configured threshold.
C. When the resource requests from pods exceed a configured threshold.
D. When the CPU or memory utilization crosses a configured threshold.

Answer: C

Explanation:
The OKE Cluster Autoscaler automatically adjusts the number of worker nodes in an OKE cluster based on the resource requests made by Kubernetes pods. When there are not enough resources available (e.g., CPU or memory) on existing nodes to accommodate pending pods, the Cluster Autoscaler will create new nodes to meet the resource demand.

NEW QUESTION # 38
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