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Oracle 1z0-1084-24 PDF Questions [2025] - Make Your Aspirations Profitable

What is more difficult is not only passing the Oracle 1z0-1084-24 Certification Exam, but the acute anxiety and the excessive burden also make the candidate nervous to qualify for the Oracle Cloud Infrastructure 2024 Developer Professional certification. If you are going through the same tough challenge, do not worry because Oracle is here to assist you.

Oracle 1z0-1084-24 Exam Syllabus Topics:

Topic
Details

Topic 1

Testing and Securing Cloud Native Applications: Cloud engineers and developers are tested on their ability to analyze and evaluate cloud native testing methodologies, developing effective strategies for testing applications in a cloud-native environment.

Topic 2

Leveraging Serverless Technologies for Cloud Native Development: This part of the exam evaluates the ability to develop serverless applications using Oracle Functions. Candidates should be able to create API gateways to manage traffic from API clients and route it to back-end services, as well as establish integrations between systems using the OCI streaming service.

Topic 3

Monitoring & Troubleshooting Cloud Native Applications: This section assesses candidates' skills in monitoring and troubleshooting cloud native applications. They must utilize the OCI Monitoring service to view metrics and the OCI Logging service to manage and search logs effectively.

Topic 4

Cloud Native Applications and Containerization: Candidates must demonstrate their knowledge of Docker, including its architecture and components, to effectively manage containerized applications. This includes using Oracle Cloud Infrastructure Registry (OCIR) to pull and push container images.

Topic 5

Cloud Native Fundamentals: This section tests the ability of cloud developers and architects to understand the core principles of cloud native development. Candidates are expected to explain the fundamentals of cloud native and discuss the key pillars that support cloud native approaches.

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Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q18-Q23):

NEW QUESTION # 18
Which of the following step is NOT required for setting up the Container Engine for Kubernetes (OKE) cluster access using a local installation of kubectl?

A. Set up the kubeconfig file.
B. Install and configure the Oracle Cloud Infrastructure (OCI) CLI.
C. Generate Auth token from the OCI console to access the OKE cluster using kubectl.
D. Generate an API signing key pair (if you do not already have one) and upload the public key of the API signing key pair.

Answer: C

Explanation:
The step that is NOT required for setting up the Container Engine for Kubernetes (OKE) cluster access using a local installation of kubectl is to generate an Auth token from the OCI console. The authentication for accessing the OKE cluster using kubectl can be performed using the OCI CLI configuration, specifically the API signing key pair and the kubeconfig file. Here are the correct steps for setting up the OKE cluster access using a local installation of kubectl: Set up the kubeconfig file: The kubeconfig file contains the necessary information to authenticate and access the OKE cluster using kubectl. It includes details such as the cluster endpoint, authentication method, and credentials. Generate an API signing key pair (if you do not already have one) and upload the public key of the API signing key pair: The API signing key pair is used for authentication with the OCI services. The public key of the key pair needs to be uploaded to the OCI Console to associate it with your user account. Install and configure the Oracle Cloud Infrastructure (OCI) CLI: The OCI CLI provides a command-line interface to interact with the OCI services. It needs to be installed and configured with your OCI credentials, including the user's OCID, tenancy OCID, region, and the path to the API signing key pair. By completing these steps, you can configure kubectl to access and manage your OKE clusters from your local machine using the OCI CLI authentication configuration.

NEW QUESTION # 19
You have two microservices, A and B running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which includes service B. Which approach should you take to test service A?

A. Test using an API mock of service B.
B. This is not possible because service B is a dependency.
C. Test using the current production version of service B.
D. Test using a previous test version of service B.

Answer: A

Explanation:
The correct answer is: Test using an API mock of service B. To test service A without deploying all of its dependencies, including service B, you can use an API mock of service B. An API mock is a simulated version of the API that mimics the behavior of the actual service. By using an API mock, you can isolate the testing of service A and simulate the responses and behavior of service B's APIs. With an API mock, you can define the expected responses and behavior of service B's APIs, allowing you to test the integration between service A and the mocked version of service B. This approach enables you to verify the functionality of service A without relying on the availability or changes in the actual service B. By decoupling the dependencies and using an API mock, you can perform independent testing of service A, ensuring its functionality in isolation.

NEW QUESTION # 20
Which TWO are characteristics of microservices? (Choose two.)

A. All microservices share a data store.
B. Microservices can be independently deployed.
C. Microservices are hard to test in isolation.
D. Microservices communicate over lightweight APIs.
E. Microservices can be implemented in limited number of programming languages.

Answer: B,D

Explanation:
The two characteristics of microservices are: Microservices can be independently deployed: One of the key principles of microservices architecture is the ability to independently deploy each microservice. This means that changes or updates to one microservice can be made and deployed without affecting other microservices.
It allows for faster and more frequent deployments, enabling agile development and scalability. Microservices communicate over lightweight APIs: Microservices communicate with each other through lightweight APIs (Application Programming Interfaces). This enables loose coupling between microservices, as they can interact with each other using standard protocols like HTTP/REST or messaging systems like RabbitMQ or Kafka. Lightweight APIs facilitate flexibility and interoperability between microservices, making it easier to develop and maintain complex systems. The remaining statement, "All microservices share a data store," is not a characteristic of microservices. Microservices are designed to be autonomous and have their own data storage or database. Each microservice has its own data store, which promotes the principle of bounded contexts and avoids tight coupling between services. This allows for better scalability and independence of data management within each microservice.

NEW QUESTION # 21
You have just finished building and compiling the software required to implement the API microservice component. You need to rebuild the API docker image, and plan to tag it as: ocIdevops/api:latest Which docker command would re-create the API docker image?

A. docker create -t OCIdevops/api:latest
B. docker compile -t OCI devops/api:latest
C. docker image -t OCIdevops/api:latest
D. docker build -t OCIdevops/api:latest

Answer: D

Explanation:
The correct command to rebuild the API docker image and tag it as OCIdevops/api:latest is: docker build -t OCIdevops/api:latest The docker build command is used to build a Docker image from a Dockerfile. The -t flag is used to specify the name and optionally a tag for the image. In this case, the name of the image is OCIdevops/api and the tag is latest. By running this command, the Docker image will be recreated based on the instructions in the Dockerfile and tagged with the specified name and tag.

NEW QUESTION # 22
What is the difference between continuous delivery and continuous deployment in the DevOps methodology?
(Choose the best answer.)

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

Answer: A

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 utilizes 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 # 23
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