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Actual Oracle Cloud Infrastructure 2025 DevOps Professional Exam Questions are Easy to Understand 1Z0-1109-25 Exam

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Oracle 1Z0-1109-25 Exam Syllabus Topics:

Topic
Details

Topic 1

Implementing Monitoring and Observability (O&M): This section evaluates the expertise of Site Reliability Engineers (SREs) and Monitoring Specialists in tracking system performance using OCI Monitoring, Logging, and Events services. It analyzes metrics, logs, and events to maintain system reliability and troubleshoot operational issues effectively.

Topic 2

Understand DevOps Principles and Effectively Work with Containerization Services: This section of the exam measures the skills of DevOps Engineers and Cloud Architects in applying DevOps methodologies and containerization practices. It covers implementing a microservices architecture, creating Docker containers, and managing Oracle Cloud Infrastructure Registry (OCIR) and Container Instances to streamline application deployment and scalability.

Topic 3

Using Code and Templates for Provisioning and Configuring Infrastructure: This domain evaluates the expertise of DevOps Engineers and Infrastructure Architects in deploying infrastructure using Infrastructure as Code (IaC) tools like Terraform. It focuses on automating resource provisioning with OCI Resource Manager to ensure consistent and efficient infrastructure setups.

Topic 4

Managing Containers Using Container Orchestration Engine: This part assesses the abilities of Kubernetes Administrators and Containerization Specialists in managing Oracle Container Engine for Kubernetes (OKE). It covers cluster creation, scaling, upgrades, networking, storage, and security configurations to optimize containerized applications in OCI environments.

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Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q28-Q33):

NEW QUESTION # 28
While adding variables to your build_spec.yaml file, you made a mistake that resulted in a failed build pipeline.
What is the error you could have made?

A. Defined variables as exportedVariables to make them available in subsequent stages of the same pipeline
B. Defined parameters such as the ${VARIABLE_NAME} file and later assigned their values in the Parameters tab of the build pipeline
C. Used vaultVariable to hold the content of the vault secrets in Base64 format
D. Defined a field such as type: DOCKER_IMAGE in the outputArtifacts: section to specify the docker image produced by the Build stage

Answer: B

Explanation:
In build_spec.yaml for OCI DevOps, variables must be correctly defined and used according to the specification. If you defined parameters using ${VARIABLE_NAME} and then attempted to assign their values through the Parameters tab in the build pipeline, you may have introduced an error. The syntax and usage of parameters must be properly defined in both the build_spec.yaml and the build pipeline interface.

NEW QUESTION # 29
How can system administrators ensure that only signed images from Oracle Cloud Infrastructure Registry are deployed to a Container Engine for Kubernetes cluster?

A. By encrypting the images using a custom encryption algorithm
B. By manually inspecting each image before deployment
C. By disabling access to the Container Engine for Kubernetes cluster
D. By configuring an image verification policy for the cluster

Answer: D

Explanation:
Image verification policies are used to ensure that only trusted and signed images are deployed to an Oracle Kubernetes Engine (OKE) cluster. By configuring such policies, administrators can enforce that images must be signed and come from trusted sources, such as the Oracle Cloud Infrastructure Registry.

NEW QUESTION # 30
As a DevOps engineer working on managing clusters on the OCI platform for your organization, which statement is true about managing cluster add-ons in OCI OKE Cluster?

A. When creating a new cluster, essential cluster add-ons are set to manually update.
B. When you disable a cluster add-on using the console, the add-on is completely removed from the cluster.
C. When creating a new cluster, essential cluster add-ons cannot be disabled.
D. When enabling a cluster add-on, you cannot configure the add-on by specifying one or more key/value pairs to pass as arguments to the cluster add-on.

Answer: C

Explanation:
Essential cluster add-ons are required for the basic functioning of the Kubernetes cluster and cannot be disabled during cluster creation. These add-ons provide necessary features such as core DNS, networking, and other critical functionalities for the cluster's operation.

NEW QUESTION # 31
A fully qualified path to a particular image in an OCIR repository is given as iad.ocir.io/ansh81vru1zp/project01/acme-web-app:version2.0.test.
Identify the two options with correct terms and their associated values. (Choose two.)

A. version2.0.test represents <tenancy-namespace>
B. ansh81vru1zp represents <tenancy-namespace>
C. iad.ocir.io/ansh81vru1zp represents <region-key>
D. iad represents <region-key>
E. ansh81vru1zp/project01/acme-web-app:version2.0.test represents <repo-name>

Answer: B,D

Explanation:
ansh81vru1zp is the <tenancy-namespace>. In Oracle Cloud Infrastructure Registry (OCIR), the tenancy namespace uniquely identifies the tenancy and is used as part of the image path.
iad is the <region-key>. The region key is the shorthand identifier for the OCI region (iad represents Ashburn region), and it is used in the fully qualified path for images stored in the Oracle Cloud Infrastructure Registry (OCIR).

NEW QUESTION # 32
A team wants to deploy artificial intelligence and machine learning workloads in their OCI Container Engine for Kubernetes (OKE) cluster. They prioritize strong isolation, cost-efficiency, and the ability to leverage serverless capabilities.
Which solution is best suited for their requirements?

A. Virtual nodes in OKE
B. Container Instances in OCI
C. Self-Managed Nodes in OKE
D. Managed nodes in OKE

Answer: A

Explanation:
Virtual nodes in OKE provide a serverless experience for deploying Kubernetes workloads, which means you do not have to manage or scale the underlying infrastructure. This solution is particularly cost-efficient because you only pay for the resources used by the pods, and it provides strong isolation for workloads.
Virtual nodes are well suited for AI/ML workloads as they allow users to easily scale compute resources without being constrained by the limits of individual worker nodes.

NEW QUESTION # 33
......

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