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Hot 1z0-1109-24 Certification Dumps | Efficient Oracle 1z0-1109-24 Reliable Exam Preparation: Oracle Cloud Infrastructure 2024 DevOps Professional

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Oracle 1z0-1109-24 Exam Syllabus Topics:

Topic
Details

Topic 1

Configuring and Managing Continuous Integration and Continuous Delivery (CI
CD): This domain measures the skills of DevOps Engineers by focusing on the configuration and management of CI
CD pipelines. Candidates will learn to automate the software development lifecycle, enabling faster release cycles through continuous integration and delivery practices.

Topic 2

Managing Containers Using Container Orchestration Engine: This section covers the management of containers using orchestration tools like Kubernetes. Candidates will gain insights into creating, scaling, and optimizing containerized applications within a cloud environment.

Topic 3

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 4

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 5

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.

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Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q15-Q20):

NEW QUESTION # 15
Which statement is false about OCI Resource Manager (RM)?

A. RM can mirror repositories from GitHub and GitLab.
B. RM can generate Terraform based on the resources in a compartment.
C. Resources provisioned through RM cannot be destroyed from outside of RM.
D. RM can render custom "Application Information" pages for stacks.

Answer: C

Explanation:
Resources provisioned through OCI Resource Manager (RM) can still be modified or destroyed from outside of RM, such as using the OCI Console, CLI, or other APIs. RM manages the lifecycle of resources created by its Terraform configurations, but it does not prevent other tools or methods from modifying or deleting those resources.

NEW QUESTION # 16
An operations team is exploring the use of OCI Container Instances to run their container workloads without managing servers.
Which of the following statements is false regarding the use of Container Instances?

A. The underlying infrastructure for Container Instances is fully managed and hardened by OCI, ensuring reliability and security.
B. Billing for Container Instances is based on the allocated CPU and memory resources for each container instance.
C. Container Instances provide a serverless compute service for running containers, eliminating the need for server management.
D. Container Instances require the team to perform provisioning, patching, and ongoing management of servers.

Answer: D

Explanation:
OCI Container Instances are a serverless compute service that allows you to run containerized workloads without managing the underlying infrastructure. Oracle Cloud Infrastructure (OCI) manages provisioning, patching, and all the ongoing server management tasks, providing a fully managed environment.

NEW QUESTION # 17
Which command creates the docker registry secret required in the application manifests for OKE to pull images from Oracle Cloud Infrastructure Registry?

Answer: B

Explanation:
To create a Docker registry secret to pull images from the Oracle Cloud Infrastructure Registry (OCIR), you need to specify the correct parameters such as the region key, namespace, OCI username, and OCI authentication token.
Chosen command is correct because:
The kubectl create secret docker-registry command creates a Docker registry secret.
The --docker-server=<region-key>.ocir.io specifies the correct endpoint for OCIR.
The --docker-username=<tenancy-namespace>/<oci-username> provides both the tenancy namespace and the OCI username, which is the required format for authentication with OCIR.
The --docker-password='<oci-auth-token>' specifies the OCI auth token, which acts as a password for authentication.
The --docker-email=<email-address> is also included.
The other commands have errors, such as missing tenancy namespace or using incorrect flags (passwd instead of secret).

NEW QUESTION # 18
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. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
C. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
D. Creating and managing worker nodes using OCI compute instances

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 # 19
A small company is moving to a DevOps framework to better accommodate their intermittent workloads, which are dynamic and irregular. They want to adopt a consumption-based pricing model.
Which Oracle Cloud Infrastructure service can be used as a target deployment environment?

A. Virtual machine compute instance
B. Bare metal compute instance
C. Functions
D. Oracle Kubernetes (OKE)

Answer: C

Explanation:
Oracle Cloud Infrastructure Functions is a serverless compute service that supports a consumption-based pricing model. This means that you are only charged for the compute resources when your function is invoked. This is ideal for intermittent, dynamic, and irregular workloads since the company does not need to provision infrastructure in advance, and costs are directly tied to usage.

NEW QUESTION # 20
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