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Oracle 1Z0-1084-25 Exam Syllabus Topics:
Topic
Details
Topic 1
- Cloud Native Applications and Containerization: This section of the exam covers containerization technologies for cloud-native applications. It explains Docker architecture, its components, and the process of pulling and pushing container images using Oracle Cloud Infrastructure Registry (OCIR). It also explores container orchestration, deploying applications on Oracle Kubernetes Engine (OKE), and using OCI Service Mesh for Kubernetes deployments.
Topic 2
- Monitoring & Troubleshooting Cloud-Native Applications: This section of the exam focuses on monitoring and troubleshooting cloud-native applications. It covers using OCI Monitoring to track metrics, OCI Logging for managing logs and performing tasks related to monitoring, logging, and tracing for better observability and issue resolution.
Topic 3
- Cloud Native Fundamentals: This section of the exam measures the skills of target audience and covers the essential principles of cloud-native development. It explains the core concepts, key pillars, and advantages of cloud-native applications. The section also focuses on microservices architecture, including its design methodology and how it supports scalable, distributed applications.
Topic 4
- Testing and Securing Cloud-Native Applications: This section focuses on testing strategies and security for cloud-native applications. It discusses different testing methodologies, securing sensitive information using OCI Vault, and implementing security measures to address cloud-native development challenges.
Topic 5
- Leveraging Serverless Technologies for Cloud Native Development: This section of the exam measures the skills of professionals in serverless development within OCI. It covers creating serverless applications using Oracle Functions, building API gateways for routing traffic, and integrating systems through OCI Streaming Service. Additionally, it explores event-driven architectures using OCI Event Service and how OCI Queue enables asynchronous messaging between microservices.
Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q54-Q59):
NEW QUESTION # 54
Which is NOT a valid option to execute a function deployed in Oracle Functions?
- A. Invoke from the Docker CLI.
- B. Invoke from the Fn Project CLI.
- C. Invoke from the OCI CLI.
- D. Send signed HTTP requests to the function's invoke endpoint.
- E. Trigger by an event in the Oracle Cloud Infrastructure (OCI) Events service.
Answer: A
Explanation:
The correct answer is: Invoke from the Docker CLI. Explanation:: Executing a function deployed in Oracle Functions is typically done using the following options: Invoke from the Fn Project CLI: The Fn Project CLI provides a command-line interface specifically designed for interacting with Oracle Functions. You can use commands like fn invoke to invoke a function. Trigger by an event in the Oracle Cloud Infrastructure (OCI) Events service: You can configure events in OCI to trigger your function based on various criteria, such as object storage events, resource state changes, or scheduled events. Invoke from the OCI CLI: The OCI CLI (Command Line Interface) allows you to interact with various services in Oracle Cloud Infrastructure, including Oracle Functions. You can use the fn invoke command to invoke a function. Send signed HTTP requests to the function's invoke endpoint: Oracle Functions provides an HTTP endpoint that can be used to invoke functions. You can send signed HTTP requests to this endpoint using tools or programming languages that support making HTTP requests. On the other hand, invoking a function deployed in Oracle Functions using the Docker CLI is not a valid option. The Docker CLI is primarily used for managing Docker containers and images, and it does not provide a direct mechanism for invoking functions in Oracle Functions.
NEW QUESTION # 55
Your organization has deployed their e-commerce application on Oracle Container Engine for Kubernetes (OKE) and they are using the Oracle Cloud Infrastructure Registry (OCIR) service as their Docker image repository. They have deployed the OKE cluster using the 'custom create' option, and their Virtual Cloud Network (VCN) has three public subnets with associated Route Tables, Security Lists, and Internet Gateway. However, their application containers are failing to deploy. On investigation, they discover that the images are not being pulled from the designated OCIR repository, even though the YAML configuration has the correct path to the images. What is a valid concern here that needs to be further investigated?
- A. VCN hosting the OKE cluster worker nodes needs to have a NAT gateway to access OCIR repositories.
- B. OKE cluster needs to have a secret with the credentials of their OCIR repository and use that secret in the Kubernetes deployment manifest.
- C. Identity and Access Management (IAM) credentials need to be added for each user that deploys applications to the OKE cluster.
- D. Security List rule for TCP port 22 needs to be added to connect to the OCIR service.
Answer: B
Explanation:
A valid concern that needs to be further investigated in this scenario is whether the OKE cluster has a secret with the credentials of the Oracle Cloud Infrastructure Registry (OCIR) repository and if that secret is being used in the Kubernetes deployment manifest. Here's why this concern is relevant: Access to the OCIR repository: In order for the OKE cluster to pull images from the OCIR repository, it needs proper authentication credentials. These credentials are typically provided in the form of a secret, which contains the necessary information to authenticate with the registry. Secret in the deployment manifest: The Kubernetes deployment manifest defines how the application containers should be deployed. It includes specifications such as the container image, resource requirements, and environment variables. To pull images from a private repository like OCIR, the deployment manifest needs to reference the appropriate secret that contains the registry credentials. If the images are not being pulled from the designated OCIR repository, it suggests that either the secret with the OCIR credentials is missing or it is not properly referenced in the deployment manifest. Further investigation should focus on verifying the presence and correctness of the secret, as well as confirming that it is correctly referenced in the deployment manifest for the application containers. By ensuring the presence of the secret and proper configuration in the deployment manifest, the OKE cluster will have the necessary credentials to access the OCIR repository and successfully deploy the application containers.
NEW QUESTION # 56
Which TWO statements are correct regarding Docker images and containers? (Choose two.)
- A. A container can exist without an image but an image cannot exist without a container.
- B. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory.
- C. Writing and building a new Dockerfile is the only way you can create new Docker images.
- D. An image is a collection of immutable layers whereas a container is a running instance of an image.
- E. Only one container can be spawned from a given image at a time.
Answer: B,D
Explanation:
Which TWO statements are correct regarding Docker images and containers? (Choose two.) Writing and building a new Dockerfile is the only way you can create new Docker images. A container can exist without an image but an image cannot exist without a container. Only one container can be spawned from a given image at a time. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. (Correct) An image is a collection of immutable layers whereas a container is a running instance of an image. (Correct) ChatGPT The correct statements regarding Docker images and containers are: If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. This statement is correct. When multiple containers are created from the same Docker image, they share the underlying layers of the image in memory. Each container has its own isolated filesystem and runtime environment, but they all use the same base image, which helps in efficient resource utilization. An image is a collection of immutable layers whereas a container is a running instance of an image. This statement is also correct. Docker images are composed of multiple layers, with each layer representing a specific change or addition to the previous layer. These layers are read-only and can be shared among multiple containers. On the other hand, a container is a lightweight and isolated runtime instance created from a specific image. It is a running process that has its own filesystem, network, and runtime configuration. The statements "Writing and building a new Dockerfile is the only way you can create new Docker images" and "A container can exist without an image but an image cannot exist without a container" are incorrect. Docker images can be created in various ways, including using Dockerfiles, importing from existing images, or pulling from registries. Additionally, a container requires an image to run, so an image must exist before a container can be created from it.
NEW QUESTION # 57
Who is responsible for patching, upgrading, and maintaining the worker nodes in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE)? (Choose the best answer.)
- A. Independent Software Vendors
- B. It is automated
- C. The user
- D. Oracle Support
Answer: C
Explanation:
The user is responsible for patching, upgrading, and maintaining the worker nodes in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE). In OKE, the user has control over the worker nodes, which are the compute instances that run the Kubernetes worker components. As the user, you are responsible for managing and maintaining these worker nodes, including tasks such as patching the underlying operating system, upgrading Kubernetes versions, and performing any necessary maintenance activities. While Oracle provides the underlying infrastructure and support services, including managing the control plane and ensuring the availability of the OKE service, the responsibility for managing the worker nodes lies with the user. This allows you to have control and flexibility in managing your Kubernetes environment according to your specific needs and requirements.
NEW QUESTION # 58
Which term describes a group formed by a master machine and a worker machine in a Kubernetes architecture?
- A. Deployment
- B. Container
- C. Node
- D. Cluster
- E. Pod
Answer: D
Explanation:
The term that describes a group formed by a master machine and a worker machine in a Kubernetes architecture is "Cluster". A cluster in Kubernetes consists of one or more master machines and multiple worker machines (also known as nodes). The master machine manages the overall control plane and orchestrates the deployment and management of containers on the worker nodes. The worker nodes are responsible for running the containers and executing the workloads. The cluster is the fundamental unit of organization and management in Kubernetes, providing the infrastructure and resources to run and manage containerized applications. It ensures high availability, scalability, and fault tolerance for the applications deployed within it.
NEW QUESTION # 59
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