Latest 1z0-1084-24 Exam Discount, 1z0-1084-24 Exam Price
Latest 1z0-1084-24 Exam Discount, 1z0-1084-24 Exam Price
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Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q29-Q34):
NEW QUESTION # 29
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)
- A. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.
- B. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.
- C. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
- D. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
Answer: B,D
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 # 30
Which option best defines microservices?
- A. An open-source system for automating deployment, scaling, and management of containerized applications.
- B. A finely tuned piece of software that performs a single or small collection of tasks.
- C. An organized collection of structured information or data, typically stored electronically in a computer system.
- D. A statically typed and compiled language.
Answer: B
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 # 31
Which technique is used for testing the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies?
- A. End-to-end Testing
- B. Integration Testing
- C. Contract Testing
- D. Unit Testing
- E. Component Testing
Answer: A
Explanation:
End-to-end testing is a technique that involves checking the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies3. End-to-end testing simulates real user scenarios and validates the functionality, performance, reliability, and security of the app from start to finish3. End-to-end testing has several benefits, such as3:
* Comprehensive testing: You can test your app as a whole and verify that all the components work together as expected.
* User-centric testing: You can test your app from the user's perspective and ensure that it meets the user' s needs and expectations.
* Quality assurance: You can test your app in a realistic environment and identify any issues or defects before releasing it to the users.
NEW QUESTION # 32
Which TWO are required to access the Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster from the kubectl CLI? (Choose two.)
- A. An SSH key pair with the public key added to the cluster worker nodes.
- B. Install and configure the OCI CLI.
- C. OCI Identity and Access Management (IAM) Auth Token.
- D. A configured OCI API signing key pair.
- E. Tiller enabled on the OKE cluster.
Answer: B,D
Explanation:
The correct options are: A configured OCI API signing key pair: The API signing key pair is used for authentication and authorization to access OCI resources, including the OKE cluster. The private key should be configured on your local machine to authenticate API requests. An SSH key pair with the public key added to the cluster worker nodes: This is required for secure SSH access to the worker nodes in the OKE cluster.
You need to generate an SSH key pair and add the public key to the cluster's worker node pool during cluster creation or update. Therefore, the correct options are having a configured OCI API signing key pair and an SSH key pair with the public key added to the cluster worker nodes.
NEW QUESTION # 33
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)
- A. Serverless function state should never be stored externally.
- B. Serverless function execution is fully managed by third party.
- C. Long running tasks are perfectly suited for serverless.
- D. Applications running on a FaaS (Functions as a Service) platform.
- E. Application DevOps team is responsible for scaling.
Answer: B,D
Explanation:
The two true statements for serverless computing and serverless architectures are: Applications running on a FaaS (Functions as a Service) platform: Serverless architectures typically involve running code in the form of functions on a serverless platform. These functions are event-driven and executed in response to specific triggers or events. Serverless function execution is fully managed by a third party: In serverless computing, the cloud provider takes care of the infrastructure management and resource provisioning. The execution of serverless functions is handled automatically by the platform, relieving developers from the responsibility of managing servers or infrastructure. It's important to note that long running tasks are not typically suited for serverless architectures due to the event-driven nature of serverless functions. Also, while serverless functions may have state, it is recommended to avoid external storage dependencies and instead leverage stateless functions whenever possible. Additionally, scaling in serverless architectures is typically handled automatically by the platform, rather than being the responsibility of the application DevOps team.
NEW QUESTION # 34
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