Exam: 1Z0-1109-24

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Oracle Cloud Infrastructure 2024 Certified DevOps Professional

Format: Multiple Choice
Duration: 90 Minutes
Exam Price: .
Number of Questions: 50
Passing Score: 68% Validation:
This exam has been validated against Oracle Cloud Infrastructure 2024
Policy: Cloud Recertification

Prepare to pass exam: 1Z0-1109-24
OCI DevOps Professional course is designed to accelerate your career, this comprehensive learning path equips you with essential skills and knowledge to thrive in dynamic DevOps environments. Dive into the core principles of DevOps and leverage the power of Oracle Cloud Infrastructure (OCI) to streamline your workflows effectively. Ideal for DevOps engineers and developers, this program covers everything from mastering application development and testing to ensuring robust security measures and seamless deployment using OCI's capabilities. By the end of this course, you'll be well-prepared to ace the Oracle Cloud Infrastructure DevOps Professional Certification and unlock new opportunities in your career journey.

You'll develop the ability to:
Master DevOps principles for efficient software delivery.
Explore microservices, containerization, and services like OCIR and Container Instances.
Deploy and manage containerized apps effectively with OKE.
Utilize OCI DevOps projects, including Code Repositories and Artifact Registries.
Implement CI/CD practices for automated software builds and deployments.
Automate resource management with config management and IaC techniques.
Enhance DevOps workflow security by implementing DevSecOps best practices and leveraging OCI security services.
Gain insights into App performance and troubleshoot issues with observability services.

Take recommended training
Complete one of the courses below to prepare for your exam (optional):

Become an OCI DevOps Professional (2024)
Additional Preparation and Information
A combination of Oracle training and hands-on experience (attained via labs and/or field experience), in the learning subscription, provides the best preparation for passing the exam.

Review exam topics
The following table lists the exam objectives and their weightings.
Understand DevOps principles and effectively work with containerization services 15%
Using Code and Templates for Provisioning and Configuring Infrastructure 10%
Configuring and Managing Continuous Integration and Continuous Delivery (CI/CD) 30%
Managing Containers using Container Orchestration Engine 30%
Enabling DevSecOps 10%
Implementing Monitoring and Observability (O&M) 5%

Understand DevOps principles and effectively work with containerization services
Demonstrate proficiency in DevOps practices, tools, and solutions through real-world problem-solving
Explain and Implement Microservices Architecture
Identify the need for containerization and create containers using Docker
Create and manage Oracle Cloud Infrastructure Registry OCIR
Create and manage Oracle Cloud Infrastructure Container Instances

Using Code and Templates for Provisioning and Configuring Infrastructure
Deploy infrastructure using Infrastructure as Code and Terraform on OCI
Streamline infrastructure deployment and configuration with OCI Resource Manager

Configuring and Managing Continuous Integration and Continuous Delivery (CI/CD)
Automate the software development life cycle using OCI DevOps Service
Configure and manage source code in OCI DevOps Code Repositories
Analyze and create artifacts for automated deployment to different environments
Evaluate and Configure Build and Deployment Pipelines
Create and configure various deployment strategies

Managing Containers using Container Orchestration Engine
Review Container Engine for Kubernetes and important containerization and Kubernetes principles
Create, manage, and optimize Kubernetes clusters in the OCI environment
Understand cluster types, cluster access, and other management activities such as deployments, networking, storage, and observability
Perform scaling, cluster upgrades, use admission controllers, and execute applications on specialized nodes
Evaluate and configure security within OCI OKE service

Enabling DevSecOps
Configure security using DevSecOps best practices in OCI
Create and manage encryption keys and secrets in OCI Vault
Evaluate and configure security within the OCI DevOps CI/CD pipelines
Evaluate and configure security for container images used in OCI

Implementing Monitoring and Observability (O&M)
Explain the concepts of DevOps measurement
Monitor metrics using OCI Monitoring Service
Analyze and manage logs with OCI Logging Service
Create and track events with OCI Events Service

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QUESTION 1
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 OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
B. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
C. Using Kubernetes cluster add-ons to automate worker node management
D. Creating and managing worker nodes using OCI compute instances

Answer: B

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.
Theres 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

QUESTION 2
How do OCI DevOps Deployment Pipelines reduce risk and complexity of production applications?

A. By reducing change-driven errors introduced by manual deployments
B. By scaling builds with service-managed build runners
C. By working with existing Git repositories and CI systems
D. By eliminating downtime of production applications

Answer: A

Explanation:
OCI DevOps Deployment Pipelines automate the process of deploying applications to production
environments. By using automated, repeatable deployment processes, they help reduce the risk of
change-driven errors, which are often introduced during manual deployments. This automation
reduces human errors and ensures consistency across environments, thus minimizing complexity and risk in production.

QUESTION 3
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 CPU or memory utilization crosses a configured threshold.
B. When the resource requests from pods exceed a configured threshold.
C. When the custom metrics from the services exceed a configured threshold.
D. When the rate of requests to the application crosses a configured threshold.

Answer: B

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.

QUESTION 4
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. Self-Managed Nodes in OKE
C. Managed nodes in OKE
D. Container Instances in OCI

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.

QUESTION 5
Which command creates the docker registry secret required in the application manifests for OKE to
pull images from Oracle Cloud Infrastructure Registry?
A)
B)
C)
D)

A. Option A
B. Option B
C. Option C
D. Option D

Answer: D

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).

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