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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q68-Q73):
NEW QUESTION # 68
What is the difference between continuous delivery and continuous deployment in the DevOps methodology? (Choose the best answer.)
- A. Continuous delivery involves automation of developer tasks, whereas continuous deployment involves manual operational tasks.
- B. Continuous delivery requires automatic linting, whereas continuous deployment testing must be run manually.
- C. Continuous delivery utilizes automatic deployment to a development environment, whereas continuous deployment involves automatic deployment to a production environment.
- D. Continuous delivery is a process that Initiates deployment manually, whereas continuous deployment is based on automating the deployment process.
Answer: 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 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 # 69
With the volume of communication that can happen between different components in cloud-native applications, it is vital to not only test functionality, but also service resiliency. Which statement is true regarding service resiliency?
- A. Resiliency testing can be done only in a test environment.
- B. Resiliency is about recovering from failures without downtime or data loss.
- C. Resiliency is about not bringing a service to a functioning state after a failure.
- D. Resiliency is about avoiding failures.
Answer: B
Explanation:
The correct answer is: "Resiliency is about recovering from failures without downtime or data loss." Service resiliency, in the context of cloud-native applications, is the ability of a service or system to recover from failures and continue functioning without downtime or data loss. It involves designing and implementing mechanisms to handle failures, such as network outages, hardware failures, or software errors, in a way that minimizes the impact on the overall system. The goal of resiliency is to ensure that the application or service can continue to operate and provide a certain level of functionality, even in the face of failures. This typically involves techniques such as redundancy, fault tolerance, and graceful degradation. By implementing resiliency measures, a cloud-native application can recover and adapt to failures, maintain availability, and preserve data integrity. The other statements are not accurate regarding service resiliency: Resiliency is not about not bringing a service to a functioning state after a failure. Instead, it is about recovering from failures and ensuring continued functionality. Resiliency is not about avoiding failures entirely. While it is desirable to prevent failures, resiliency focuses on the ability to handle and recover from failures when they do occur. Resiliency testing is not limited to a test environment. It is important to test and validate the resiliency measures in both test environments and production environments to ensure the application can effectively handle failures in real-world scenarios.
NEW QUESTION # 70
Which TWO are characteristics of microservices? (Choose two.)
- A. Microservices are hard to test in isolation.
- B. All microservices share a data store.
- C. Microservices can be implemented in limited number of programming languages.
- D. Microservices communicate over lightweight APIs.
- E. Microservices can be independently deployed.
Answer: D,E
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 # 71
A developer has created another version of a microservice and wants 10% of the traffic to flow towards it for testing purposes. The application is already configured using OCI (Oracle Cloud Infrastructure) Service Mesh. Which of the following steps is the right approach to achieve this goal?
- A. Use Kubernetes HPA (Horizontal Pod Autoscaler) to scale the new version of the microservice to handle 10% of the traffic automatically.
- B. Create a new entry in the routeRules field of the virtual service route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.
- C. Create a new Kubernetes deployment for the new version of the microservice and set the traffic splitting percentage to 10% in the Kubernetes service manifest.
- D. Create a new entry in the routeRules field of the ingress gateway route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.
Answer: B
NEW QUESTION # 72
Your organization is developing serverless applications with Oracle Functions. Many functions will need to store state data in a database, which will require using appropriate credentials. However, your corporate security standards mandate encryption of secret information, such as database passwords. How would you address this security requirement?
- A. Use OCI Console to enter the password in the function configuration section in the provided input field.
- B. Encrypt the password using the OCI Vault service and then decrypt this password in your function code with the generated key.
- C. Leverage application-level configuration variables to store passwords because they are automatically encrypted by Oracle Functions.
- D. Use the OCI Vault service to auto-encrypt the password and then set an application-level configuration variable to reference the auto-decrypted password inside your function container.
Answer: B
Explanation:
The best way to store and use secret information, such as database passwords, in Oracle Functions is to use the OCI Vault service. The OCI Vault service provides encryption and decryption capabilities for sensitive data. You can use the OCI Vault service to encrypt the password and store it as an application-level configuration variable. Then, you can use the generated key to decrypt the password in your function code when you need to access the database. Verified Reference: Oracle Functions: Using Key Management To Encrypt And Decrypt Configuration Variables
NEW QUESTION # 73
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