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Oracle 1z0-1109-24 Exam Syllabus Topics:

Topic
Details

Topic 1

Enabling DevSecOps: This domain measures the skills of Oracle Cloud Infrastructure DevOps engineers and developers in integrating security practices within the DevOps lifecycle through DevSecOps methodologies.

Topic 2

Understand DevOps Principles and Effectively Work with Containerization Services: This domain measures the skills of DevOps Professionals and focuses on the foundational principles of DevOps and the role of containerization in modern software development. Candidates will learn how containerization enables packaging applications and their dependencies into isolated environments, promoting consistency across different deployment stages.

Topic 3

Implementing Monitoring and Observability (O&M): This section targets Oracle Cloud Infrastructure DevOps engineers and developers and focuses on implementing monitoring and observability practices within a DevOps framework. Candidates will learn about tools and techniques for tracking application performance, analyzing logs, and managing events to ensure system reliability.

Topic 4

Using Code and Templates for Provisioning and Configuring Infrastructure: This section targets DevOps Engineers and emphasizes the importance of using code and templates for infrastructure provisioning. Candidates will explore Infrastructure as Code (IaC) practices that allow for automated configuration and management of infrastructure resources.

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Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q17-Q22):

NEW QUESTION # 17
Why is it important to extract output artifacts from the Oracle Cloud Infrastructure (OCI) DevOps build pipeline and store them in an Artifact Registry repository?

A. Deliver Artifacts is a required stage of the build pipeline, and the entire pipeline won't work if it is not included in order to extract artifacts after the Managed Build stage.
B. Output artifacts aren't permanent. If they are to be used in the Deliver Artifacts stage, they need to be exported as output artifacts to a registry.
C. Storing build artifacts in registries helps the deployment pipeline differentiate output artifacts created by the build pipeline from artifacts copied from a Git repository.
D. All artifacts are permanently stored in the build pipeline. Extracting just the ones required for deployment tells the deployment pipeline which artifacts to use.

Answer: B

Explanation:
In OCI DevOps Build Pipeline, the output artifacts generated during the build are temporary and will be discarded unless explicitly stored in a persistent location. By extracting and storing these artifacts in an Artifact Registry (such as OCI Artifact Registry or OCI Container Registry), you ensure that they are available for subsequent stages, such as deployment.
Storing artifacts in a registry provides a persistent location where the deployment pipeline can access them, ensuring the artifacts are available for reliable deployment.

NEW QUESTION # 18
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 disabling access to the Container Engine for Kubernetes cluster
B. By configuring an image verification policy for the cluster
C. By encrypting the images using a custom encryption algorithm
D. By manually inspecting each image before deployment

Answer: B

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 # 19
How can you scale a deployment named nodejs-deployment to have two replicas?

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

Answer: B

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 # 20
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. Using Kubernetes cluster add-ons to automate worker node management
B. Creating and managing worker nodes using OCI compute instances
C. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
D. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management

Answer: C

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 # 21
Which of the following statement is INCORRECT with respect to a Dockerfile?

A. An ENV instruction sets the environment value to the key, and it is available for the subsequent build steps and in the running container as well.
B. WORKDIR instruction sets the working directory for any RUN, CMD, ENTRYPOINT instructions and not for COPY and ADD instructions in the Dockerfile.
C. If CMD instruction provides default arguments for the ENTRYPOINT instruction, both should be specified in JSON format.
D. The RUN instruction will execute any commands in a new layer on top of the current image and commit the results.

Answer: B

Explanation:
The WORKDIR instruction sets the working directory for all subsequent RUN, CMD, ENTRYPOINT, COPY, and ADD instructions in the Dockerfile. This means that after specifying WORKDIR, all these instructions will use the specified directory as their current working directory.

NEW QUESTION # 22
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