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Oracle 1z0-1084-26 Exam Syllabus Topics:

Section	Weight	Objectives
Cloud Native Applications and Containerization	33%	- Oracle Cloud Infrastructure Registry 1. Push container images to OCIR 2. Pull container images from OCIR - Container Orchestration 1. Deploy containerized applications on Oracle Kubernetes Engine 2. Role of container orchestration - Docker and Containerization 1. Containerization concepts 2. Docker architecture and components
Testing and Securing Cloud Native Applications	13%	- Cloud Native Testing 1. Testing strategies for cloud native applications 2. Cloud native testing methodologies - Cloud Native Security 1. Use OCI Vault to securely manage encryption keys 2. Manage sensitive configuration information 3. Apply security measures for cloud native development
Monitoring and Troubleshooting Cloud Native Applications	10%	- OCI Logging 1. Enable and manage logs 2. Search and analyze logs - OCI Monitoring 1. Use OCI Monitoring to view metrics - Monitoring, Logging, and Tracing 1. Troubleshoot cloud native applications 2. Perform monitoring, logging, and tracing tasks
Leveraging Serverless Technologies for Cloud Native Development	33%	- OCI Streaming 1. Integrate systems using OCI Streaming 2. Use streaming for serverless and managed application architectures - API Gateway 1. Route API traffic to backend services 2. Process traffic from API clients - Oracle Functions 1. Develop serverless applications with Oracle Functions - OCI Queue 1. Implement asynchronous messaging for microservices - OCI Events 1. Build event-driven serverless applications
Cloud Native Fundamentals	11%	- Microservices Architecture 1. Microservices architecture 2. Microservices design methodology - Cloud Native Principles 1. Key pillars of cloud native development 2. Fundamentals of cloud native development

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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q134-Q139):

NEW QUESTION # 134
Which statement is NOT valid regarding the structure and behavior of Docker images and containers?

A. Deleting a Docker container also permanently deletes the underlying image from the host system by default.
B. A Docker image is composed of a series of read-only layers that represent filesystem differences.
C. Running a Docker container adds a thin writable layer on top of the underlying read-only image layers.
D. Modifying an existing file within a running container copies the file from the read-only layer to the writable layer.

Answer: A

Explanation:
Docker images and containers have separate lifecycles. Oracle describes a Docker image as a read-only template used to create containers, while image implementations consist of immutable read-only layers. A running container adds its own writable runtime state without changing those underlying image layers.
Removing a container with docker rm removes that container instance; deleting the corresponding image requires a separate image-removal operation such as docker rmi. Oracle ' s Cloud Shell documentation likewise explicitly uses docker rmi when deleting local images. Therefore, deleting a container doesnotautomatically or permanently delete its source image. Statements A, B, and D describe the layered and copy-on-write behavior associated with Docker containers, making C the invalid statement.

NEW QUESTION # 135
A service you are deploying to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) uses a docker image from a private repository in OCI Registry (OCIR). Which configuration is necessary to provide access to this repository from OKE?

A. Create a docker-registry secret for OCIR with API key credentials on the cluster, and specify the imagePullSecret property in the application deployment manifest.
B. Add a generic secret on the cluster containing your identity credentials. Then specify a registryCredentials property in the deployment manifest.
C. Create a docker-registry secret for OCIR with identity Auth Token on the cluster, and specify the imagePullSecret property in the application deployment manifest.
D. Create a dynamic group for nodes in the cluster, and a policy that allows the dynamic group to read repositories in the same compartment.

Answer: C

NEW QUESTION # 136
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)

A. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
B. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
C. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.
D. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.

Answer: A,C

Explanation:
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery involves automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.

NEW QUESTION # 137
Which protocol or mechanism does the Docker client use by default to communicate with the Docker daemon when both are running on the same local host?

A. Remote Procedure Calls
B. Secure Shell Sessions
C. TCP Network Sockets
D. Local UNIX Sockets

Answer: D

Explanation:
In the Linux/Unix environment normally assumed for OCI container development, the Docker client communicates with the locally running Docker daemon through a UNIX domain socket. Docker ' s default endpoint on Linux is unix:///var/run/docker.sock. This allows local inter-process communication without requiring a TCP network connection. TCP can be configured when the client must communicate with a daemon through a network, while SSH can provide secure access to a remote Docker daemon. RPC is not the default Docker client transport. Therefore, for a Docker client and daemon running locally on a Linux-based OCI development host, Local UNIX Sockets is the correct answer. On Windows, Docker uses a named pipe by default, so the answer is specifically applicable to the Linux/Unix OCI context.

NEW QUESTION # 138
Which option best defines microservices?

A. A finely tuned piece of software that performs a single or small collection of tasks.
B. An organized collection of structured information or data, typically stored electronically in a computer system.
C. An open-source system for automating deployment, scaling, and management of containerized applications.
D. A statically typed and compiled language.

Answer: A

Explanation:
The correct answer is: " A finely tuned piece of software that performs a single or small collection of tasks. " Microservices are a software architectural approach where a system is decomposed into small, independent services that are responsible for performing a specific set of tasks. Each microservice is designed to be focused, finely tuned, and highly cohesive, handling a single or a small collection of related tasks. This granularity allows for better scalability, maintainability, and flexibility in building complex applications. The other options provided do not accurately define microservices: An open-source system for automating deployment, scaling, and management of containerized applications refers to a container orchestration tool like Kubernetes, which can be used to manage microservices but is not a definition of microservices itself. A statically typed and compiled language describes a type of programming language characteristic and is not specific to the concept of microservices. An organized collection of structured information or data, typically stored electronically in a computer system is a definition of a database or data storage system and is unrelated to microservices.

NEW QUESTION # 139
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